posters.csv

title,author,category,event_type,time,link,poster,slides,video,location,sub_category
A Game Theoretic Approach to Class-wise Selective Rationalization,Shiyu Chang · Yang Zhang · Mo Yu · Tommi Jaakkola,Algorithms,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15493,https://www.dropbox.com/s/4jebt3cv22noxzt/poster_final.pdf?dl=0,https://www.dropbox.com/s/5oimaavehk3veuv/CAR_slides_final.pdf?dl=0,https://www.dropbox.com/s/tnr5emcp5a4wvig/video_final.mp4?dl=0,East Exhibition Hall B + C,Adversarial Learning
A Little Is Enough: Circumventing Defenses For Distributed Learning,Gilad Baruch · Moran Baruch · Yoav Goldberg,Algorithms,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15493,,https://www.icloud.com/iclouddrive/0NSqYAtlTp99BsbmCSoZ87Zow#A_Little_Is_Enough_-_Presentation,,East Exhibition Hall B + C,Adversarial Learning
A New Defense Against Adversarial Images: Turning a Weakness into a Strength,Shengyuan Hu · Tao Yu · Chuan Guo · Wei-Lun Chao · Kilian Weinberger,Algorithms,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15493,https://github.com/s-huu/TurningWeaknessIntoStrength/blob/master/poster.pdf,,,East Exhibition Hall B + C,Adversarial Learning
Tight Certificates of Adversarial Robustness for Randomly Smoothed Classifiers,Guang-He Lee · Yang Yuan · Shiyu Chang · Tommi Jaakkola,Algorithms,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15493,https://people.csail.mit.edu/guanghe/randomized_smoothing_files/NeurIPS_robustness.pdf,,,East Exhibition Hall B + C,Adversarial Learning
Adversarial training for free!,Ali Shafahi · Mahyar Najibi · Mohammad Amin Ghiasi · Zheng Xu · John Dickerson · Christoph Studer · Larry Davis · Gavin Taylor · Tom Goldstein,Algorithms,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15493,https://www.cs.umd.edu/~ashafahi/free_training/Free_train_poster.pdf,https://www.cs.umd.edu/~ashafahi/free_training/Free_train_slide.pdf,https://youtu.be/v8U9mM1Vwv0?t=285,East Exhibition Hall B + C,Adversarial Learning
Certifiable Robustness to Graph Perturbations,Aleksandar Bojchevski · Stephan Günnemann,Algorithms,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15493,https://www.kdd.in.tum.de/fileadmin/w00bxq/www/graph_cert/poster_graph_cert.pdf,,,East Exhibition Hall B + C,Adversarial Learning
Certified Adversarial Robustness with Additive Noise,Bai Li · Changyou Chen · Wenlin Wang · Lawrence Carin,Algorithms,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15493,https://drive.google.com/file/d/1P-oo2Hn535JAJo9hOmz605i8_nU7k6AR/view?usp=sharing,,,East Exhibition Hall B + C,Adversarial Learning
Defense Against Adversarial Attacks Using Feature Scattering-based Adversarial Training,Haichao Zhang · Jianyu Wang,Algorithms,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15493,https://drive.google.com/open?id=11NbW-ZFBaHtA-eNKw-PFFBXqpH22buBo,,,East Exhibition Hall B + C,Adversarial Learning
Efficient online learning with kernels for adversarial large scale problems,Rémi Jézéquel · Pierre Gaillard · Alessandro Rudi,Algorithms,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15493,https://drive.google.com/open?id=1YsdTfDz8AvtF_yl1NJj4crlpctBoW6aV,,,East Exhibition Hall B + C,Adversarial Learning
Empirically Measuring Concentration: Fundamental Limits on Intrinsic Robustness,Saeed Mahloujifar · Xiao Zhang · Mohammad Mahmoody · David Evans,Algorithms,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15493,https://drive.google.com/open?id=1_bQ0AFR7_-GVDpnDWNUirBW3tqGeGJHF,https://drive.google.com/open?id=1UIzRxpAT2fWsreTcMM1YGWRV0EyCaY50,https://drive.google.com/open?id=1z-97tgTqB5dH3WzQcE6kBOVJHizo5z7A,East Exhibition Hall B + C,Adversarial Learning
Error Correcting Output Codes Improve Probability Estimation and Adversarial Robustness of Deep Neural Networks,Gunjan Verma · Ananthram Swami,Algorithms,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15493,https://github.com/Gunjan108/robust-ecoc/blob/master/documentation/NeurIPS2019_poster.pdf,,,East Exhibition Hall B + C,Adversarial Learning
Learning from Bad Data via Generation,Tianyu Guo · Chang Xu · Boxin Shi · Chao Xu · Dacheng Tao,Algorithms,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15493,https://drive.google.com/file/d/1b98Pht5q3SaAqukKToA0uE47-z5ZEQgh/view?usp=sharing,,,East Exhibition Hall B + C,Adversarial Learning
Multi-marginal Wasserstein GAN,Jiezhang Cao · Langyuan Mo · Yifan Zhang · Kui Jia · Chunhua Shen · Mingkui Tan,Algorithms,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15493,http://caojiezhang.com/poster/NeurIPS2019_MWGAN_poster.pdf,http://caojiezhang.com/slides/NeurIPS2019_MWGAN_slides.pdf,http://caojiezhang.com/video/NeurIPS2019_MWGAN_video.mp4,East Exhibition Hall B + C,Adversarial Learning
ResNets Ensemble via the Feynman-Kac Formalism to Improve Natural and Robust Accuracies,Bao Wang · Zuoqiang  Shi · Stanley Osher,Algorithms,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15493,https://github.com/BaoWangMath/EnResNet/blob/master/NIPS_EnResNet_Poster.pdf,,,East Exhibition Hall B + C,Adversarial Learning
Subspace Attack: Exploiting Promising Subspaces for Query-Efficient Black-box Attacks,Yiwen Guo · Ziang Yan · Changshui Zhang,Algorithms,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15493,https://github.com/ZiangYan/subspace-attack.pytorch,,,East Exhibition Hall B + C,Adversarial Learning
ZO-AdaMM: Zeroth-Order Adaptive Momentum Method for Black-Box Optimization,Xiangyi Chen · Sijia Liu · Kaidi Xu · Xingguo Li · Xue Lin · Mingyi Hong · David Cox,Algorithms,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15493,https://github.com/xiangyi1900/ZO-Adamm/blob/master/poster_neurips_adam_48x36_V1.pptx,,,East Exhibition Hall B + C,Adversarial Learning
Blocking Bandits,Soumya Basu · Rajat Sen · Sujay Sanghavi · Sanjay Shakkottai,Algorithms,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15494,,http://basusoumya.github.io/reports/blocking%20bandits_compressed.pdf,,East Exhibition Hall B + C,Bandit Algorithms
Combinatorial Bandits with Relative Feedback ,Aadirupa Saha · Aditya Gopalan,Algorithms,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15494,,https://drive.google.com/file/d/1_SHIKUBsveYLRu6i8zWoBzWWOHKOsSuM/view?usp=sharing,,East Exhibition Hall B + C,Bandit Algorithms
Decentralized Cooperative Stochastic Bandits,David Martínez-Rubio · Varun Kanade · Patrick Rebeschini,Algorithms,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15494,https://drive.google.com/file/d/14l8rJa7sv3NCAYvacz83zRxtK_p4LINQ,,,East Exhibition Hall B + C,Bandit Algorithms
Doubly-Robust Lasso Bandit,Gi-Soo Kim · Myunghee Cho Paik,Algorithms,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15494,https://github.com/gisoo1989/Doubly-Robust-Lasso-Bandit/blob/master/NeurIPS_poster_2019.pdf,,,East Exhibition Hall B + C,Bandit Algorithms
Efficient Pure Exploration in Adaptive Round model,tianyuan jin · Jieming SHI · Xiaokui Xiao · Enhong Chen,Algorithms,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15494,https://github.com/jmshi123/mab-nips-2019/blob/master/nips19-poster.pdf,,,East Exhibition Hall B + C,Bandit Algorithms
Epsilon-Best-Arm Identification in Pay-Per-Reward Multi-Armed Bandits,Sivan Sabato,Algorithms,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15494,https://www.cs.bgu.ac.il/~sabatos/papers/Sabato_NeurIPS2019_poster.pdf,,,East Exhibition Hall B + C,Bandit Algorithms
Nonstochastic Multiarmed Bandits with Unrestricted Delays,Tobias Sommer Thune · Nicolò Cesa-Bianchi · Yevgeny Seldin,Algorithms,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15494,http://summer-school-gan.compute.dtu.dk/posters/Tobias_Thune.pdf,,,East Exhibition Hall B + C,Bandit Algorithms
On the Optimality of Perturbations in Stochastic and Adversarial Multi-armed Bandit Problems,Baekjin Kim · Ambuj Tewari,Algorithms,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15494,https://drive.google.com/file/d/1TrZElGzUGK9F6oUvTumduSdqmTPUaiPu/view?usp=sharing,,,East Exhibition Hall B + C,Bandit Algorithms
Phase Transitions and Cyclic Phenomena in Bandits with Switching Constraints,David Simchi-Levi · Yunzong Xu,Algorithms,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15494,,https://xyz.mit.edu/sites/default/files/documents/bwsc_neurips19.pdf,,East Exhibition Hall B + C,Bandit Algorithms
Polynomial Cost of Adaptation for X-Armed Bandits,Hedi Hadiji,Algorithms,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15494,https://www.math.u-psud.fr/~hadiji/files/poster_final_neurips2019.pdf,,,East Exhibition Hall B + C,Bandit Algorithms
Semi-Parametric Dynamic Contextual Pricing,Virag Shah · Ramesh Johari · Jose Blanchet,Algorithms,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15494,,https://virags.github.io/Pricing_Slides.pdf,,East Exhibition Hall B + C,Bandit Algorithms
Coresets for Clustering with Fairness Constraints,Lingxiao Huang · Shaofeng Jiang · Nisheeth Vishnoi,Algorithms,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15495,,https://drive.google.com/file/d/1hahrk4B-N7bkkLaRM7WY49TvYgwgafPa/view?usp=sharing,,East Exhibition Hall B + C,Clustering
Correlation Clustering with Adaptive Similarity Queries,Marco Bressan · Nicolò Cesa-Bianchi · Andrea Paudice · Fabio Vitale,Algorithms,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15495,https://www.dropbox.com/sh/m48zb3fxuyyfpxs/AABU1weSF4h3OZK7tQAtEUZ5a?dl=0,,,East Exhibition Hall B + C,Clustering
Correlation clustering with local objectives,Sanchit Kalhan · Konstantin Makarychev · Timothy Zhou,Algorithms,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15495,,,https://www.youtube.com/watch?v=0s1LF5qL2Do&feature=youtu.be,East Exhibition Hall B + C,Clustering
Foundations of Comparison-Based Hierarchical Clustering,Debarghya Ghoshdastidar · Michaël Perrot · Ulrike von Luxburg,Algorithms,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15495,https://mperrot.github.io/files/comparison-based-hierarchical-clustering/poster_ComparisonHC.pdf,,,East Exhibition Hall B + C,Clustering
Fully Dynamic Consistent Facility Location,Vincent Cohen-Addad · Niklas Oskar D Hjuler · Nikos Parotsidis · David Saulpic · Chris Schwiegelshohn,Algorithms,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15495,https://drive.google.com/file/d/13Z05xECfrruclX-5NmGeuG9-obRUXPD1/view?usp=sharing,,,East Exhibition Hall B + C,Clustering
Greedy Sampling for Approximate Clustering in the Presence of Outliers,Aditya Bhaskara · Sharvaree Vadgama · Hong Xu,Algorithms,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15495,,http://www.cs.utah.edu/~bhaskara/files/neurips2019-pres1.pdf,,East Exhibition Hall B + C,Clustering
k-Means Clustering of Lines for Big Data,Yair Marom · Dan Feldman,Algorithms,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15495,,https://drive.google.com/file/d/14fEGuJ7wqZK-S6WYDJzXXOMh8rWBpz9S/view?usp=sharing,,East Exhibition Hall B + C,Clustering
Near Neighbor: Who is the Fairest of Them All?,Sariel Har-Peled · Sepideh Mahabadi,Algorithms,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15495,,http://www.mit.edu/~mahabadi/slides/FairNN.pdf,,East Exhibition Hall B + C,Clustering
Random Projections and Sampling Algorithms for Clustering of High-Dimensional Polygonal Curves,Stefan Meintrup · Alexander Munteanu · Dennis Rohde,Algorithms,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15495,http://www.dennisrohde.work/rp4frechet-poster,,,East Exhibition Hall B + C,Clustering
Same-Cluster Querying for Overlapping Clusters,Wasim Huleihel · Arya Mazumdar · Muriel Medard · Soumyabrata Pal,Algorithms,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15495,https://drive.google.com/file/d/1h61Uw_V7gBDZ7BWqON6jyJ8N2EAkIJZs/view,,,East Exhibition Hall B + C,Clustering
Selective Sampling-based Scalable Sparse Subspace Clustering,Shin Matsushima · Maria Brbic,Algorithms,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15495,https://github.com/smatsus/S5C/raw/master/pdfs/neurips_poster.pdf,,,East Exhibition Hall B + C,Clustering
Spectral Modification of Graphs for Improved Spectral Clustering,Ioannis Koutis · Huong Le,Algorithms,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15495,,http://tiny.cc/2695-Slides,,East Exhibition Hall B + C,Clustering
Subquadratic High-Dimensional Hierarchical Clustering,Amir Abboud · Vincent Cohen-Addad · Hussein Houdrouge,Algorithms,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15495,,https://drive.google.com/open?id=1ctEsMyNyoDRHJeGAb2nVUDmVUdjXziQ8,,East Exhibition Hall B + C,Clustering
Ultra Fast Medoid Identification via Correlated Sequential Halving,Tavor Baharav · David Tse,Algorithms,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15495,http://tavorb.com/supplemental/NeurIPS_poster.pdf,,,East Exhibition Hall B + C,Clustering
Ultrametric Fitting by Gradient Descent,Giovanni Chierchia · Benjamin Perret,Algorithms,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15495,https://github.com/PerretB/ultrametric-fitting/raw/master/Poster.pdf,,,East Exhibition Hall B + C,Clustering
Backpropagation-Friendly Eigendecomposition,Wei Wang · Zheng Dang · Yinlin Hu · Pascal Fua · Mathieu Salzmann,Algorithms,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15496,https://github.com/WeiWangTrento/Power-Iteration-SVD/blob/master/poster.pdf,,,East Exhibition Hall B + C,"Components Analysis (e.g., CCA, ICA, LDA, PCA)"
Learning-Based Low-Rank Approximations,Piotr Indyk · Ali Vakilian · Yang Yuan,Algorithms,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15496,http://people.iiis.tsinghua.edu.cn/~yuanyang/files/neurips19/lblr_poster.pdf,http://people.iiis.tsinghua.edu.cn/~yuanyang/files/neurips19/learning_based_low_rank.pdf,,East Exhibition Hall B + C,"Components Analysis (e.g., CCA, ICA, LDA, PCA)"
Likelihood-Free Overcomplete ICA and Applications In Causal Discovery,Chenwei DING · Mingming Gong · Kun Zhang · Dacheng Tao,Algorithms,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15496,https://drive.google.com/drive/folders/12aoPugfHUZYl-xqBot8tN5tw87JoxAKZ?usp=sharing,,,East Exhibition Hall B + C,"Components Analysis (e.g., CCA, ICA, LDA, PCA)"
Sobolev Independence Criterion ,Youssef Mroueh · Tom Sercu · Mattia Rigotti · Inkit Padhi · Cicero Nogueira dos Santos,Algorithms,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15496,,http://github.com/IBM/SIC/blob/master/slides/sic_neurips_slides.pdf,,East Exhibition Hall B + C,"Components Analysis (e.g., CCA, ICA, LDA, PCA)"
Towards a Zero-One Law for Column Subset Selection,Zhao Song · David Woodruff · Peilin Zhong,Algorithms,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15496,https://github.com/zpl7840/general_loss_column_subset_selection/blob/master/poster.pdf,,,East Exhibition Hall B + C,"Components Analysis (e.g., CCA, ICA, LDA, PCA)"
Fisher Efficient Inference of Intractable Models,Song Liu · Takafumi Kanamori · Wittawat Jitkrittum · Yu Chen,Algorithms,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15497,,https://github.com/lamfeeling/Stein-Density-Ratio-Estimation/blob/master/slides.pdf,,East Exhibition Hall B + C,Density Estimation
Learning Distributions Generated by One-Layer ReLU Networks,Shanshan Wu · Alexandros Dimakis · Sujay Sanghavi,Algorithms,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15497,https://github.com/wushanshan/densityEstimation/tree/master/poster,,,East Exhibition Hall B + C,Density Estimation
On Fenchel Mini-Max Learning,Chenyang Tao · Liqun Chen · Shuyang Dai · Junya Chen · Ke Bai · Dong Wang · Jianfeng Feng · Wenlian Lu · Georgiy Bobashev · Lawrence Carin,Algorithms,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15497,https://github.com/chenyang-tao/FML/blob/master/poster/fml-poster.pdf,https://github.com/chenyang-tao/FML/blob/master/slides/fml-slides.pdf,https://github.com/chenyang-tao/FML/tree/master/video,East Exhibition Hall B + C,Density Estimation
Practical and Consistent Estimation of f-Divergences,Paul Rubenstein · Olivier Bousquet · Josip Djolonga · Carlos Riquelme · Ilya Tolstikhin,Algorithms,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15497,https://github.com/google-research/google-research/blob/master/f_divergence_estimation_ram_mc/poster.pdf,,,East Exhibition Hall B + C,Density Estimation
Re-examination of the Role of Latent Variables in Sequence Modeling,Guokun Lai · Zihang Dai · Yiming Yang · Shinjae Yoo,Algorithms,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15497,,https://drive.google.com/file/d/1RUvdUIOMwVEpHs7wk2jUHBkTrFwLWOUW/view,,East Exhibition Hall B + C,Density Estimation
Space and Time Efficient Kernel Density Estimation in High Dimensions,Arturs Backurs · Piotr Indyk · Tal Wagner,Algorithms,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15497,,http://www.mit.edu/~talw/publications/fastkde_slides.pdf,,East Exhibition Hall B + C,Density Estimation
Unconstrained Monotonic Neural Networks,Antoine Wehenkel · Gilles Louppe,Algorithms,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15497,https://github.com/AWehenkel/UMNN/blob/master/poster/UMNN-poster2.pdf,,,East Exhibition Hall B + C,Density Estimation
Mutually Regressive Point Processes,Ifigeneia Apostolopoulou · Scott Linderman · Kyle Miller · Artur Dubrawski,Algorithms,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15498,https://github.com/ifiaposto/Mutually-Regressive-Point-Processes,,,East Exhibition Hall B + C,Dynamical Systems
Neural Networks with Cheap Differential Operators,Tian Qi Chen · David Duvenaud,Algorithms,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15498,http://www.cs.toronto.edu/~rtqichen/posters/diffopnet_poster.pdf,,,East Exhibition Hall B + C,Dynamical Systems
Convergence Guarantees for Adaptive Bayesian Quadrature Methods,Motonobu Kanagawa · Philipp Hennig,Algorithms,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15499,,https://www.dropbox.com/s/cuynkxey4jwsed1/material_ABQ_NeurIPS.pdf?dl=0,,East Exhibition Hall B + C,Kernel Methods
Globally Convergent Newton Methods for Ill-conditioned Generalized Self-concordant Losses,Ulysse Marteau-Ferey · Francis Bach · Alessandro Rudi,Algorithms,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15499,https://github.com/umarteau/Newton-Method-for-GSC-losses-,,,East Exhibition Hall B + C,Kernel Methods
Kernel Instrumental Variable Regression,Rahul Singh · Maneesh Sahani · Arthur Gretton,Algorithms,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15499,,https://github.com/r4hu1-5in9h/KIV,,East Exhibition Hall B + C,Kernel Methods
Kernel Stein Tests for Multiple Model Comparison,Jen Ning Lim · Makoto Yamada · Bernhard Schölkopf · Wittawat Jitkrittum,Algorithms,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15499,https://github.com/jenninglim/model-comparison-test/raw/master/docs/poster.pdf,,,East Exhibition Hall B + C,Kernel Methods
On Exact Computation with an Infinitely Wide Neural Net,Sanjeev Arora · Simon Du · Wei Hu · Zhiyuan Li · Russ Salakhutdinov · Ruosong Wang,Algorithms,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15499,http://www.cs.cmu.edu/~ruosongw/poster_cntk.pdf,,,East Exhibition Hall B + C,Kernel Methods
Solving Interpretable Kernel Dimensionality Reduction,Chieh Wu · Jared Miller · Yale Chang · Mario Sznaier · Jennifer Dy,Algorithms,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15499,https://drive.google.com/file/d/1eU8JLJxy7EmGwlEcFqbIkeUoClPqBOHC/view?usp=sharing,https://docs.google.com/presentation/d/1BUHKyj79hG4QdRJlmcWHX-JDE_eBu537nbYFlJkofSo/edit?usp=sharing,https://youtu.be/q1ETeX3HvPY,East Exhibition Hall B + C,Kernel Methods
Missing Not at Random in Matrix Completion: The Effectiveness of Estimating Missingness Probabilities Under a Low Nuclear Norm Assumption,Wei Ma · George H Chen,Algorithms,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15500,,http://www.andrew.cmu.edu/user/georgech/presentations/mnar_mc_neurips2019.pdf,,East Exhibition Hall B + C,Missing Data
Aligning Visual Regions and Textual Concepts for Semantic-Grounded Image Representations,Fenglin Liu · Yuanxin Liu · Xuancheng Ren · Xiaodong He · Xu Sun,Algorithms,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15501,https://github.com/fenglinliu98/MIA/NeurIPS2019_MIA_poster.pdf,,,East Exhibition Hall B + C,Representation Learning
Augmented Neural ODEs,Emilien Dupont · Arnaud Doucet · Yee Whye Teh,Algorithms,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15501,https://emiliendupont.github.io/neurips2019_anode_poster.pdf,,,East Exhibition Hall B + C,Representation Learning
Beyond Vector Spaces: Compact Data Representation as Differentiable Weighted Graphs,Denis Mazur · Vage Egiazarian · Stanislav Morozov · Artem Babenko,Algorithms,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15501,https://drive.google.com/open?id=15s2zak93VRk-wIHBGEWeBqH04HHUDOtS,,,East Exhibition Hall B + C,Representation Learning
Exact Rate-Distortion in Autoencoders via Echo Noise,Rob Brekelmans · Daniel Moyer · Aram Galstyan · Greg Ver Steeg,Algorithms,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15501,https://drive.google.com/file/d/1TddQTjsvJrpXOU_pSvRaTlyPbuJJM-iP/view,https://www.isi.edu/sites/default/files/users/gregv/echo_slides.pdf,http://bit.ly/2Wdm6St,East Exhibition Hall B + C,Representation Learning
Information Competing Process for Learning Diversified Representations,Jie Hu · Rongrong Ji · ShengChuan Zhang · Xiaoshuai Sun · Qixiang Ye · Chia-Wen Lin · Qi Tian,Algorithms,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15501,https://github.com/hujiecpp/InformationCompetingProcess/blob/master/Paper/poster.pdf,,,East Exhibition Hall B + C,Representation Learning
Learning low-dimensional state embeddings and metastable clusters from time series data,Yifan Sun · Yaqi Duan · Hao Gong · Mengdi Wang,Algorithms,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15501,https://drive.google.com/open?id=1Jz0_WvN3FP2rxUv1Tyv11-f1mLi9G1lt,,,East Exhibition Hall B + C,Representation Learning
Learning Nonsymmetric Determinantal Point Processes,Mike Gartrell · Victor-Emmanuel Brunel · Elvis Dohmatob · Syrine Krichene,Algorithms,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15501,https://drive.google.com/file/d/1zM3dAqcskQFndZN8yTiMFS6s2rnjzVYB/view?usp=sharing,,,East Exhibition Hall B + C,Representation Learning
Provably Powerful Graph Networks,Haggai Maron · Heli Ben-Hamu · Hadar Serviansky · Yaron Lipman,Algorithms,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15501,http://haggaim.github.io/projects/powerful_graph/Provably_Powerful_Graph_Networks___Poster.pdf,,,East Exhibition Hall B + C,Representation Learning
Quaternion Knowledge Graph Embeddings,SHUAI ZHANG · Yi Tay · Lina Yao · Qi Liu,Algorithms,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15501,https://drive.google.com/open?id=1FbMNGzcyDgGBR6OJPAeR4kmBTjGqO3Fs,,,East Exhibition Hall B + C,Representation Learning
Semi-supervisedly Co-embedding Attributed Networks,Zaiqiao Meng · Shangsong Liang · Jinyuan Fang · Teng Xiao,Algorithms,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15501,"https://github.com/mengzaiqiao/SCAN/blob/master/poster.pdf
(will appear soon)",,,East Exhibition Hall B + C,Representation Learning
A Direct tilde{O}(1/epsilon) Iteration Parallel Algorithm for Optimal Transport,Arun Jambulapati · Aaron Sidford · Kevin Tian,Algorithms,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15502,https://drive.google.com/file/d/1971JqwXAkqoUQAil9BbdXr5GlzpIO26w/view?usp=sharing,,,East Exhibition Hall B + C,Similarity and Distance Learning
Conditional Independence Testing using Generative Adversarial Networks,Alexis Bellot · Mihaela van der Schaar,Algorithms,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15502,https://alexisbellot.github.io/Website/Poster_GCIT.pdf,,,East Exhibition Hall B + C,Similarity and Distance Learning
Generalized Sliced Wasserstein Distances,Soheil Kolouri · Kimia Nadjahi · Umut Simsekli · Roland Badeau · Gustavo Rohde,Algorithms,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15502,https://github.com/kimiandj/gsw/blob/master/poster_gsw.pdf,https://github.com/kimiandj/gsw/blob/master/slides_gsw.pdf,,East Exhibition Hall B + C,Similarity and Distance Learning
Hyperspherical Prototype Networks,Pascal Mettes · Elise van der Pol · Cees Snoek,Algorithms,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15502,isis-data.science.uva.nl/mettes/hpn/poster-neurips19.pdf,,,East Exhibition Hall B + C,Similarity and Distance Learning
Input Similarity from the Neural Network Perspective,Guillaume Charpiat · Nicolas Girard · Loris Felardos · Yuliya Tarabalka,Algorithms,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15502,https://www.lri.fr/~gcharpia/poster_NeurIPS2019.pdf,,,East Exhibition Hall B + C,Similarity and Distance Learning
Landmark Ordinal Embedding,Nikhil Ghosh · Yuxin Chen · Yisong Yue,Algorithms,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15502,https://yuxinchen.org/files/papers/ghosh19loe-poster.pdf,,,East Exhibition Hall B + C,Similarity and Distance Learning
Tree-Sliced Variants of Wasserstein Distances,Tam Le · Makoto Yamada · Kenji Fukumizu · Marco Cuturi,Algorithms,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15502,https://www.dropbox.com/s/4ugbmyu5jepxun0/TLMYKFMC_NeurIPS19_TSW.pdf?dl=0,,,East Exhibition Hall B + C,Similarity and Distance Learning
Communication-efficient Distributed SGD with Sketching,Nikita Ivkin · Daniel Rothchild · Enayat Ullah · Vladimir braverman · Ion Stoica · Raman Arora,Applications,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15503,http://enayatullah.github.io/sketchedsgd/poster.pdf,http://enayatullah.github.io/sketchedsgd/slides.pdf,http://enayatullah.github.io/sketchedsgd/video,East Exhibition Hall B + C,Communication- or Memory-Bounded Learning
Order Optimal One-Shot Distributed Learning,Arsalan Sharifnassab · Saber Salehkaleybar · S. Jamaloddin Golestani,Applications,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15503,https://www.dropbox.com/s/ydgwi41dgeeqe1u/Poster.pdf?dl=0,,,East Exhibition Hall B + C,Communication- or Memory-Bounded Learning
Approximating Interactive Human Evaluation with Self-Play for Open-Domain Dialog Systems,Asma Ghandeharioun · Judy Hanwen Shen · Natasha Jaques · Craig Ferguson · Noah Jones · Agata Lapedriza · Rosalind Picard,Applications,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15504,https://drive.google.com/file/d/1Ogk5xS5EI_qbQm0sFMWm3m48hn17-_PA/view?usp=sharing,,,East Exhibition Hall B + C,Dialog- or Communication-Based Learning
Game Design for Eliciting Distinguishable Behavior,Fan Yang · Liu Leqi · Yifan Wu · Zachary Lipton · Pradeep Ravikumar · Tom M Mitchell · William Cohen,Applications,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15505,https://drive.google.com/drive/folders/1wNdg4bQPDqRAr9eb1xkG5vPStXjRdOSM?usp=sharing,,,East Exhibition Hall B + C,Game Playing
"Adversarial Examples Are Not Bugs, They Are Features",Andrew Ilyas · Shibani Santurkar · Dimitris Tsipras · Logan Engstrom · Brandon Tran · Aleksander Madry,Applications,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15506,http://people.csail.mit.edu/tsipras/bugs_poster.pdf,,https://youtu.be/-vhUWSHOqIM,East Exhibition Hall B + C,"Privacy, Anonymity, and Security"
Average-Case Averages: Private Algorithms for Smooth Sensitivity and Mean Estimation,Mark Bun · Thomas Steinke,Applications,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15506,,http://www.thomas-steinke.net/BS19.pdf,,East Exhibition Hall B + C,"Privacy, Anonymity, and Security"
Capacity Bounded Differential Privacy,Kamalika Chaudhuri · Jacob Imola · Ashwin Machanavajjhala,Applications,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15506,https://github.com/jimola/Neurips2019Presentation,,,East Exhibition Hall B + C,"Privacy, Anonymity, and Security"
Differentially Private Anonymized Histograms,Ananda Theertha Suresh,Applications,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15506,https://drive.google.com/file/d/1Lh9sKZt2q_pR8o84uhRkLx9QnygVsRtB/view?usp=sharing,,,East Exhibition Hall B + C,"Privacy, Anonymity, and Security"
Differentially Private Bagging: Improved utility and cheaper privacy than subsample-and-aggregate,James Jordon · Jinsung Yoon · Mihaela van der Schaar,Applications,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15506,https://drive.google.com/drive/folders/1ZacEhZd4myNdkYZYpXLBGdmpeHDwVuYW?usp=sharing,,,East Exhibition Hall B + C,"Privacy, Anonymity, and Security"
Differentially Private Bayesian Linear Regression,Garrett Bernstein · Daniel Sheldon,Applications,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15506,https://people.cs.umass.edu/~gbernstein/Bernstein_NeurIPS2019.pdf,,,East Exhibition Hall B + C,"Privacy, Anonymity, and Security"
Efficiently Estimating Erdos-Renyi Graphs with Node Differential Privacy,Jonathan Ullman · Adam Sealfon,Applications,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15506,http://www.ccs.neu.edu/home/jullman/assets/gnps_neurips_poster.pdf,,,East Exhibition Hall B + C,"Privacy, Anonymity, and Security"
Locally Private Gaussian Estimation,Matthew Joseph · Janardhan Kulkarni · Jieming Mao · Steven Wu,Applications,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15506,https://www.cis.upenn.edu/~majos/neurips_19_poster.pdf,,,East Exhibition Hall B + C,"Privacy, Anonymity, and Security"
Minimax Optimal Estimation of Approximate Differential Privacy on Neighboring Databases,Xiyang Liu · Sewoong Oh,Applications,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15506,https://drive.google.com/file/d/1KUxXeiSD414YLcjgesmwYegqW6yz6P79/view?usp=sharing,,,East Exhibition Hall B + C,"Privacy, Anonymity, and Security"
Differentially Private Algorithms for Learning Mixtures of Separated Gaussians,Gautam Kamath · Or Sheffet · Vikrant Singhal · Jonathan Ullman,Applications,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15506,http://www.ccs.neu.edu/home/vikrantsinghal/pgmmposter.pdf,,,East Exhibition Hall B + C,"Privacy, Anonymity, and Security"
Partially Encrypted Deep Learning using Functional Encryption,Théo Ryffel · David Pointcheval · Francis Bach · Edouard Dufour-Sans · Romain Gay,Applications,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15506,,https://www.drauo.de/static/slides/mlfe.pdf,,East Exhibition Hall B + C,"Privacy, Anonymity, and Security"
Privacy-Preserving Classification of Personal Text Messages with Secure Multi-Party Computation,Devin Reich · Ariel Todoki · Rafael Dowsley · Martine De Cock · anderson nascimento,Applications,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15506,https://bitbucket.org/uwtppml/lynx/src/master/posters/TextClassificationPoster.pdf,,,East Exhibition Hall B + C,"Privacy, Anonymity, and Security"
Text-Based Interactive Recommendation via Constraint-Augmented Reinforcement Learning,Ruiyi Zhang · Tong Yu · Yilin Shen · Hongxia Jin · Changyou Chen,Applications,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15507,https://users.cs.duke.edu/~ryzhang/textrec/poster.pdf,,,East Exhibition Hall B + C,Recommender Systems
A Model-Based Reinforcement Learning with Adversarial Training for Online Recommendation,Xueying Bai · Jian Guan · Hongning Wang,Applications,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15507,https://drive.google.com/open?id=13Vfxo8vkdD8jOgG2N6sHc2X4_9s-LIbU,,,East Exhibition Hall B + C,Recommender Systems
Joint Optimization of Tree-based Index and Deep Model for Recommender Systems,Han Zhu · Daqing Chang · Ziru Xu · Pengye Zhang · Xiang Li · Jie He · Han Li · Jian Xu · Kun Gai,Applications,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15507,https://github.com/zhuhan1236/zhuhan1236.github.io/blob/master/attach/JTM_poster.pdf,,,East Exhibition Hall B + C,Recommender Systems
iSplit LBI: Individualized Partial Ranking with Ties via Split LBI,Qianqian Xu · Xinwei Sun · Zhiyong Yang · Xiaochun Cao · Qingming Huang · Yuan Yao,Applications,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15508,https://github.com/qianqianxu010/NeurIPS2019-iSplitLBI,,,East Exhibition Hall B + C,Web Applications and Internet Data
Structured and Deep Similarity Matching via  Structured and Deep Hebbian Networks,Dina Obeid · Hugo Ramambason · Cengiz Pehlevan,Deep Learning,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15509,https://github.com/Pehlevan-Group/Deep_Structured_SM/blob/master/NeurIPS_2019_poster.pdf,,,East Exhibition Hall B + C,Biologically Plausible Deep Networks
Deep Learning without Weight Transport,Mohamed Akrout · Collin Wilson · Peter Humphreys · Timothy Lillicrap · Douglas B Tweed,Deep Learning,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15509,https://makrout.github.io/pdf/Deep_learning_without_weight_transport_NeurIPS_2019_poster.pdf,,,East Exhibition Hall B + C,Biologically Plausible Deep Networks
Neural networks grown and self-organized by noise,Guruprasad Raghavan · Matt Thomson,Deep Learning,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15509,,,https://caltech.box.com/s/9tqfhrgo3cicoi5ue9z7qyhlsjfefdka,East Exhibition Hall B + C,Biologically Plausible Deep Networks
Spike-Train Level Backpropagation for Training Deep Recurrent Spiking Neural Networks,Wenrui Zhang · Peng Li,Deep Learning,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15509,https://www.dropbox.com/s/5737xvhv0s3ossq/st-rsbp_poster_neurips2019.pdf?dl=0,,,East Exhibition Hall B + C,Biologically Plausible Deep Networks
Surround Modulation: A Bio-inspired Connectivity Structure for Convolutional Neural Networks,Hosein Hasani · Mahdieh Soleymani · Hamid Aghajan,Deep Learning,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15509,https://github.com/HoseinHasani/SM-CNN/blob/master/poster/SM-CNN_poster.pdf,,,East Exhibition Hall B + C,Biologically Plausible Deep Networks
Updates of Equilibrium Prop Match Gradients of Backprop Through Time in an RNN with Static Input,Maxence Ernoult · Benjamin Scellier · Yoshua Bengio · Damien Querlioz · Julie Grollier,Deep Learning,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15509,,,https://www.youtube.com/watch?v=Xb5sM0NRy_0&feature=youtu.be,East Exhibition Hall B + C,Biologically Plausible Deep Networks
AGEM: Solving Linear Inverse Problems via Deep Priors and Sampling,Bichuan Guo · Yuxing Han · Jiangtao Wen,Deep Learning,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15510,https://github.com/gbc16/AGEM/blob/master/poster.pdf,,,East Exhibition Hall B + C,Deep Autoencoders
Bat-G net: Bat-inspired High-Resolution 3D Image Reconstruction using Ultrasonic Echoes,Gunpil Hwang · Seohyeon Kim · Hyeon-Min Bae,Deep Learning,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15510,https://sites.google.com/view/batgnet,https://sites.google.com/view/batgnet,,East Exhibition Hall B + C,Deep Autoencoders
Continuous Hierarchical Representations with Poincaré Variational Auto-Encoders ,Emile Mathieu · Charline Le Lan · Chris J. Maddison · Ryota Tomioka · Yee Whye Teh,Deep Learning,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15510,http://emilemathieu.fr/PDFs/pvae_poster.pdf,,,East Exhibition Hall B + C,Deep Autoencoders
Channel Gating Neural Networks,Weizhe Hua · Yuan Zhou · Christopher De Sa · Zhiru Zhang · G. Edward Suh,Deep Learning,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15511,,https://drive.google.com/drive/folders/1rsIvHaDIRFItlFapDUBcM0_xOg1qWfSh?usp=sharing,,East Exhibition Hall B + C,Efficient Inference Methods
"Deconstructing Lottery Tickets: Zeros, Signs, and the Supermask",Hattie Zhou · Janice Lan · Rosanne Liu · Jason Yosinski,Deep Learning,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15511,https://drive.google.com/file/d/1-R52kLHbJOEoNr6S_r4PHkbaIvvvQUkp/view?usp=sharing,,,East Exhibition Hall B + C,Efficient Inference Methods
Point-Voxel CNN for Efficient 3D Deep Learning,Zhijian Liu · Haotian Tang · Yujun Lin · Song Han,Deep Learning,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15511,,,https://pvcnn.mit.edu,East Exhibition Hall B + C,Efficient Inference Methods
Gate Decorator: Global Filter Pruning Method for Accelerating Deep Convolutional Neural Networks,Zhonghui You · Kun Yan · Jinmian Ye · Meng Ma · Ping Wang,Deep Learning,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15511,https://github.com/youzhonghui/youzhonghui.github.io/blob/master/material/gate-decorator-poster.pdf,,,East Exhibition Hall B + C,Efficient Inference Methods
Inherent Weight Normalization in Stochastic Neural Networks,Georgios Detorakis · Sourav Dutta ·  Abhishek Khanna · Matthew Jerry · Suman Datta · Emre Neftci,Deep Learning,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15511,https://github.com/nmi-lab/neural_sampling_machines/blob/master/NeurIPS2019Poster.pdf,,,East Exhibition Hall B + C,Efficient Inference Methods
MetaQuant: Learning to Quantize by Learning to Penetrate Non-differentiable Quantization,Shangyu Chen · Wenya Wang · Sinno Jialin Pan,Deep Learning,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15511,,https://github.com/csyhhu/MetaQuant,,East Exhibition Hall B + C,Efficient Inference Methods
Model Compression with Adversarial Robustness: A Unified Optimization Framework,Shupeng Gui · Haotao N Wang · Haichuan Yang · Chen Yu · Zhangyang Wang · Ji Liu,Deep Learning,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15511,https://github.com/shupenggui/ATMC/blob/master/materials/ATMC_NeurIPS19_poster.pdf,https://github.com/shupenggui/ATMC/blob/master/materials/ATMC_full.pdf,https://github.com/shupenggui/ATMC/blob/master/materials/video.link,East Exhibition Hall B + C,Efficient Inference Methods
Positive-Unlabeled Compression on the Cloud,Yixing Xu · Yunhe Wang · Jia Zeng · Kai Han · Chunjing XU · Dacheng Tao · Chang Xu,Deep Learning,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15511,https://github.com/xiaoshingshing/pucompress/blob/master/nips2019poster.pdf,,,East Exhibition Hall B + C,Efficient Inference Methods
A Primal-Dual link between GANs and Autoencoders,Hisham Husain · Richard Nock · Robert Williamson,Deep Learning,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15512,https://drive.google.com/open?id=1ifPldBOeuSa2Iwh3ESVGmRJQKzs9XgPv,,,East Exhibition Hall B + C,Generative Models
A Prior of a Googol Gaussians: a Tensor Ring Induced Prior for Generative Models,Maxim Kuznetsov · Daniil Polykovskiy · Dmitry Vetrov · Alex Zhebrak,Deep Learning,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15512,,,https://drive.google.com/file/d/1fDc9_BhTKT3gZAyCtuafL4tfuZivusia/view,East Exhibition Hall B + C,Generative Models
Adversarial Self-Defense for Cycle-Consistent GANs,Dina Bashkirova · Ben Usman · Kate Saenko,Deep Learning,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15512,http://ai.bu.edu/selfadv/neurips_2019_poster_dbash.pdf,,,East Exhibition Hall B + C,Generative Models
Controllable Text-to-Image Generation,Bowen Li · Xiaojuan Qi · Thomas Lukasiewicz · Philip Torr,Deep Learning,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15512,https://mrlibw.github.io/ControlGAN_Poster.pdf,,,East Exhibition Hall B + C,Generative Models
Dance to Music,Hsin-Ying Lee · Xiaodong Yang · Ming-Yu Liu · Ting-Chun Wang · Yu-Ding Lu · Ming-Hsuan Yang · Jan Kautz,Deep Learning,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15512,https://www.dropbox.com/s/78q2hdzsah4eo9j/Poster_v2.pdf?dl=0,,,East Exhibition Hall B + C,Generative Models
DppNet: Approximating Determinantal Point Processes with Deep Networks,Zelda Mariet · Yaniv Ovadia · Jasper Snoek,Deep Learning,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15512,https://drive.google.com/file/d/1L0Ge9IfWd7tw9anQUL9K5ToDDZ7QM0Xf/view?usp=sharing,,,East Exhibition Hall B + C,Generative Models
Efficient Graph Generation with Graph Recurrent Attention Networks,Renjie Liao · Yujia Li · Yang Song · Shenlong Wang · Will Hamilton · David Duvenaud · Raquel Urtasun · Richard Zemel,Deep Learning,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15512,http://www.cs.toronto.edu/~rjliao/poster/GRAN_poster.pdf,,,East Exhibition Hall B + C,Generative Models
Explicit Disentanglement of Appearance and Perspective in Generative Models,Nicki Skafte · Søren Hauberg,Deep Learning,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15512,https://github.com/SkafteNicki/unsuper/blob/master/poster.pdf,,,East Exhibition Hall B + C,Generative Models
Flow-based Image-to-Image Translation with Feature Disentanglement,Ruho Kondo · Keisuke Kawano · Satoshi Koide · Takuro Kutsuna,Deep Learning,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15512,https://github.com/ruhoruho/NeurIPS2019/blob/master/poster.pdf,,,East Exhibition Hall B + C,Generative Models
Generalization in Generative Adversarial Networks: A Novel Perspective from Privacy Protection,Bingzhe Wu · Shiwan Zhao · Chaochao Chen · Haoyang Xu · Li Wang · Xiaolu Zhang · Guangyu Sun · Jun Zhou,Deep Learning,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15512,https://github.com/BingzheWu/Poster/blob/master/nips19/nips_poster.pdf,,,East Exhibition Hall B + C,Generative Models
Improved Precision and Recall Metric for Assessing Generative Models,Tuomas Kynkäänniemi · Tero Karras · Samuli Laine · Jaakko Lehtinen · Timo Aila,Deep Learning,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15512,https://drive.google.com/open?id=1retJQJIuHnT4SOV2JczxEbmBmIpqC-rj,,,East Exhibition Hall B + C,Generative Models
Knowledge Extraction with No Observable Data,Jaemin Yoo · Minyong Cho · Taebum Kim · U Kang,Deep Learning,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15512,https://github.com/snudatalab/KegNet/blob/master/docs/YooCKK19_poster.pdf,,,East Exhibition Hall B + C,Generative Models
"Learn, Imagine and Create: Text-to-Image Generation from Prior Knowledge",Tingting Qiao · Jing Zhang · Duanqing Xu · Dacheng Tao,Deep Learning,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15512,https://drive.google.com/open?id=1LP3nEg8NeehyzAynjD8skp-1CYY7Ib4z,,,East Exhibition Hall B + C,Generative Models
PasteGAN: A Semi-Parametric Method to Generate Image from Scene Graph,Yikang LI · Tao Ma · Yeqi Bai · Nan Duan · Sining Wei · Xiaogang Wang,Deep Learning,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15512,https://www.dropbox.com/s/sppa2eytz1kvfse/PasteGAN_poster_pdf.pdf?dl=0,,,East Exhibition Hall B + C,Generative Models
Sequential Neural Processes,Gautam Singh · Jaesik Yoon · Youngsung Son · Sungjin Ahn,Deep Learning,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15512,,https://drive.google.com/open?id=1wAZD4l7hj_haCKWBbvKtPFOWtQxwhGwN,,East Exhibition Hall B + C,Generative Models
Unsupervised Keypoint Learning for Guiding Class-Conditional Video Prediction,Yunji Kim · Seonghyeon Nam · In Cho · Seon Joo Kim,Deep Learning,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15512,https://drive.google.com/open?id=1c-Dg6DU6_kfTPPbRwYuKA_5mthLWeudH,,,East Exhibition Hall B + C,Generative Models
GNNExplainer: Generating Explanations for Graph Neural Networks,Zhitao Ying · Dylan Bourgeois · Jiaxuan You · Marinka Zitnik · Jure Leskovec,Deep Learning,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15513,https://drive.google.com/file/d/1k7GvgDb1MsdKf8MdMhBylDjRDzPK7w1g/view?usp=sharing,,,East Exhibition Hall B + C,Interaction-Based Deep Networks
An Improved Analysis of Training Over-parameterized Deep Neural Networks,Difan Zou · Quanquan Gu,Deep Learning,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15514,https://sites.google.com/view/difan-zou/poster1?authuser=0,,,East Exhibition Hall B + C,Optimization for Deep Networks
Controlling Neural Level Sets,Matan Atzmon · Niv Haim · Lior Yariv · Ofer Israelov · Haggai Maron · Yaron Lipman,Deep Learning,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15514,https://github.com/matanatz/ControllingNeuralLevelsets/blob/master/Controlling_Neural_Level_Sets_Poster.pdf,,,East Exhibition Hall B + C,Optimization for Deep Networks
Deep Equilibrium Models,Shaojie Bai · J. Zico Kolter · Vladlen Koltun,Deep Learning,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15514,https://github.com/locuslab/deq/blob/master/presentations/DEQ_poster.pdf,https://github.com/locuslab/deq/blob/master/presentations/DEQ_slides.pdf,,East Exhibition Hall B + C,Optimization for Deep Networks
Differentiable Cloth Simulation for Inverse Problems,Junbang Liang · Ming Lin · Vladlen Koltun,Deep Learning,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15514,,,https://youtu.be/ipIM-c4lCJ0,East Exhibition Hall B + C,Optimization for Deep Networks
Efficient and Accurate Estimation of Lipschitz Constants for Deep Neural Networks,Mahyar Fazlyab · Alexander Robey · Hamed Hassani · Manfred Morari · George Pappas,Deep Learning,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15514,,https://www.seas.upenn.edu/~mahyarfa/files/Slides_NeurIPS_2019.pdf,,East Exhibition Hall B + C,Optimization for Deep Networks
Fine-grained Optimization of Deep Neural Networks,Mete Ozay,Deep Learning,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15514,https://github.com/meteozay/fg-sgd/blob/master/poster/NeurIPS19_poster.pdf,,,East Exhibition Hall B + C,Optimization for Deep Networks
Generalization Bounds of Stochastic Gradient Descent for Wide and Deep Neural Networks,Yuan Cao · Quanquan Gu,Deep Learning,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15514,,https://drive.google.com/drive/folders/1dHLGUG78Uei4c8YEVfv2qFSVO8MGfDy5?usp=sharing,,East Exhibition Hall B + C,Optimization for Deep Networks
On Learning Over-parameterized Neural Networks: A Functional Approximation Perspective,Lili Su · Pengkun Yang,Deep Learning,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15514,https://sites.google.com/site/lilisuece/home/neurips2019_poster,,,East Exhibition Hall B + C,Optimization for Deep Networks
Stagewise Training Accelerates Convergence of Testing Error Over SGD,Zhuoning Yuan · Yan Yan · Rong Jin · Tianbao Yang,Deep Learning,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15514,,https://drive.google.com/open?id=1-bqrLb0o4Jr0c4ZqMcL2y-81b2nKrI-Y,,East Exhibition Hall B + C,Optimization for Deep Networks
Towards Explaining the Regularization Effect of Initial Large Learning Rate in Training Neural Networks,Yuanzhi Li · Colin Wei · Tengyu Ma,Deep Learning,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15514,,https://drive.google.com/file/d/1lg8hg-1QMFUDvYzZWg83DF7X3yXSl9kw/view?usp=sharing,,East Exhibition Hall B + C,Optimization for Deep Networks
You Only Propagate Once: Accelerating Adversarial Training via Maximal Principle,Dinghuai Zhang · Tianyuan Zhang · Yiping  Lu · Zhanxing Zhu · Bin Dong,Deep Learning,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15514,https://github.com/zdhNarsil/zdhNarsil.github.io/raw/master/files/YOPO_NeurIPS2019_Poster.pdf,,,East Exhibition Hall B + C,Optimization for Deep Networks
A Simple Baseline for Bayesian Uncertainty in Deep Learning,Wesley J Maddox · Pavel Izmailov · Timur Garipov · Dmitry Vetrov · Andrew Gordon Wilson,Deep Learning,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15515,,https://github.com/wjmaddox/swa_gaussian/blob/master/slides.pdf,https://izmailovpavel.github.io/swag_video,East Exhibition Hall B + C,Predictive Models
DRUM: End-To-End Differentiable Rule Mining On Knowledge Graphs,Ali Sadeghian · Mohammadreza Armandpour · Patrick Ding · Daisy Zhe Wang,Deep Learning,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15515,https://drive.google.com/open?id=1eV__wR54076B__Jo13LTOaziUCuLlLKm,,,East Exhibition Hall B + C,Predictive Models
High Fidelity Video Prediction with Large Stochastic Recurrent Neural Networks,Ruben Villegas · Arkanath Pathak · Harini Kannan · Dumitru Erhan · Quoc V Le · Honglak Lee,Deep Learning,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15515,https://drive.google.com/file/d/15WlTfBri2NvMDUB4UQZ9uiLczZd_sZ_a/view?usp=sharing,,,East Exhibition Hall B + C,Predictive Models
Unsupervised learning of object structure and dynamics from videos,Matthias Minderer · Chen Sun · Ruben Villegas · Forrester Cole · Kevin Murphy · Honglak Lee,Deep Learning,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15515,https://mjlm.github.io/video_structure/neurips_2019_poster.pdf,,,East Exhibition Hall B + C,Predictive Models
Can SGD Learn Recurrent Neural Networks with Provable Generalization?,Zeyuan Allen-Zhu · Yuanzhi Li,Deep Learning,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15516,http://people.csail.mit.edu/zeyuan/paper/2019-NeurIPS-rnngen.pdf,,,East Exhibition Hall B + C,Recurrent Networks
Input-Cell Attention Reduces Vanishing Saliency of Recurrent Neural Networks,Aya Abdelsalam Ismail · Mohamed Gunady · Luiz Pessoa · Hector Corrada Bravo · Soheil Feizi,Deep Learning,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15516,https://github.com/ayaabdelsalam91/Input-Cell-Attention/blob/master/neurips_poster_2019.pdf,,,East Exhibition Hall B + C,Recurrent Networks
Input-Output Equivalence of Unitary and Contractive RNNs,Melikasadat Emami · Mojtaba Sahraee Ardakan · Sundeep Rangan · Alyson Fletcher,Deep Learning,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15516,https://github.com/melikaemami/URNN/blob/master/Poster_NeurIPS2019.pdf,,,East Exhibition Hall B + C,Recurrent Networks
Kernel-Based Approaches for Sequence Modeling: Connections to Neural Methods,Kevin Liang · Guoyin Wang · Yitong Li · Ricardo Henao · Lawrence Carin,Deep Learning,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15516,https://github.com/kevinjliang/kernels2rnns/blob/master/Poster/NeurIPS2019_poster.pdf,,,East Exhibition Hall B + C,Recurrent Networks
Legendre Memory Units: Continuous-Time Representation in Recurrent Neural Networks,Aaron Voelker · Ivana Kajić · Chris Eliasmith,Deep Learning,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15516,,https://docs.google.com/document/d/1uarYP9YqcKx2Qh7sHJJhrY87C-mVZbNTAVqRKVPDXmI/edit,https://docs.google.com/document/d/1uarYP9YqcKx2Qh7sHJJhrY87C-mVZbNTAVqRKVPDXmI/edit,East Exhibition Hall B + C,Recurrent Networks
Non-normal Recurrent Neural Network (nnRNN): learning long time dependencies while improving expressivity with transient dynamics,Giancarlo Kerg · Kyle Goyette · Maximilian Puelma Touzel · Gauthier Gidel · Eugene Vorontsov · Yoshua Bengio · Guillaume Lajoie,Deep Learning,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15516,https://github.com/nnRNN/nnRNN_release,,,East Exhibition Hall B + C,Recurrent Networks
Reverse engineering recurrent networks for sentiment classification reveals line attractor dynamics,Niru Maheswaranathan · Alex Williams · Matthew Golub · Surya Ganguli · David Sussillo,Deep Learning,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15516,,https://drive.google.com/open?id=17m1_URju-fIRXzWOVLQyESsyYYBUfk1f,https://drive.google.com/open?id=1J-YIS9aSMNz1WX1ifBK4KlZaWhH32vXp,East Exhibition Hall B + C,Recurrent Networks
Root Mean Square Layer Normalization,Biao Zhang · Rico Sennrich,Deep Learning,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15516,https://drive.google.com/open?id=1lGPeTMSvyzBUzd2iC3Ks5Tkh1jsxTWkF,,,East Exhibition Hall B + C,Recurrent Networks
Universal Approximation of Input-Output Maps by Temporal Convolutional Nets,Joshua Hanson · Maxim Raginsky,Deep Learning,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15516,http://maxim.ece.illinois.edu/pubs/Hanson_Raginsky_NeurIPS_Poster.pdf,,,East Exhibition Hall B + C,Recurrent Networks
A Benchmark for Interpretability Methods in Deep Neural Networks,Sara Hooker · Dumitru Erhan · Pieter-Jan Kindermans · Been Kim,Deep Learning,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15517,https://drive.google.com/file/d/1qGOZLdRpsRAU5NuPTyCym3F9A62AQgKF/view?usp=sharing,,,East Exhibition Hall B + C,Visualization or Exposition Techniques for Deep Networks
"Accurate, reliable and fast robustness evaluation",Wieland Brendel · Jonas Rauber · Matthias Kümmerer · Ivan Ustyuzhaninov · Matthias Bethge,Deep Learning,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15517,https://www.dropbox.com/s/2onzvdwf7arpfvs/brendel_neurips_2019.pdf?dl=0,,,East Exhibition Hall B + C,Visualization or Exposition Techniques for Deep Networks
Approximate Feature Collisions in Neural Nets,Ke Li · Tianhao Zhang · Jitendra Malik,Deep Learning,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15517,,,,East Exhibition Hall B + C,Visualization or Exposition Techniques for Deep Networks
Computing Linear Restrictions of Neural Networks,Matthew Sotoudeh · Aditya V Thakur,Deep Learning,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15517,https://doi.org/10.5281/zenodo.3520101,https://doi.org/10.5281/zenodo.3520103,,East Exhibition Hall B + C,Visualization or Exposition Techniques for Deep Networks
CXPlain: Causal Explanations for Model Interpretation under Uncertainty,Patrick Schwab · Walter Karlen,Deep Learning,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15517,http://schwabpatrick.com/posters/NeurIPS19-cxplain-poster1-23Oct2019.pdf,,,East Exhibition Hall B + C,Visualization or Exposition Techniques for Deep Networks
Deliberative Explanations: visualizing network insecurities,Pei Wang · Nuno Nvasconcelos,Deep Learning,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15517,http://www.svcl.ucsd.edu/~peiwang/neurips19poster.pdf,,,East Exhibition Hall B + C,Visualization or Exposition Techniques for Deep Networks
Explanations can be manipulated and geometry is to blame,Ann-Kathrin Dombrowski · Maximillian Alber · Christopher Anders · Marcel Ackermann · Klaus-Robert Müller · Pan Kessel,Deep Learning,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15517,,,https://www.youtube.com/playlist?list=PLPpfpYGbmCsoRah0LdcHBcr1qIcig28AK,East Exhibition Hall B + C,Visualization or Exposition Techniques for Deep Networks
Fooling Neural Network Interpretations via Adversarial Model Manipulation,Juyeon Heo · Sunghwan Joo · Taesup Moon,Deep Learning,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15517,https://github.com/rmrisforbidden/Fooling_Neural_Network-Interpretations/blob/master/Materials/Poster.pdf,https://github.com/rmrisforbidden/Fooling_Neural_Network-Interpretations/blob/master/Materials/PPT.pdf,https://github.com/rmrisforbidden/Fooling_Neural_Network-Interpretations/blob/master/Materials/Video.md,East Exhibition Hall B + C,Visualization or Exposition Techniques for Deep Networks
Full-Gradient Representation for Neural Network Visualization,Suraj Srinivas · François Fleuret,Deep Learning,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15517,https://drive.google.com/open?id=1aQdhvG4H_-Y9eZ5GXn3-KBjNDl2hPMHD,,,East Exhibition Hall B + C,Visualization or Exposition Techniques for Deep Networks
Grid Saliency for Context Explanations of Semantic Segmentation,Lukas Hoyer · Mauricio Munoz · Prateek Katiyar · Anna Khoreva · Volker Fischer,Deep Learning,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15517,https://github.com/boschresearch/GridSaliency-ToyDatasetGen/blob/master/poster/poster_grid-saliency.pdf,,,East Exhibition Hall B + C,Visualization or Exposition Techniques for Deep Networks
Intrinsic dimension of data representations in deep neural networks,Alessio Ansuini · Alessandro Laio · Jakob H Macke · Davide Zoccolan,Deep Learning,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15517,https://drive.google.com/open?id=14SgF5BSVeAwEYo52gDH4v0ZgkzR_NpTa,,,East Exhibition Hall B + C,Visualization or Exposition Techniques for Deep Networks
One ticket to win them all: generalizing lottery ticket initializations across datasets and optimizers,Ari Morcos · Haonan Yu · Michela Paganini · Yuandong Tian,Deep Learning,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15517,,https://drive.google.com/open?id=15trK4FyRfYSHQB--Js6J6FFseiTcVHm0,,East Exhibition Hall B + C,Visualization or Exposition Techniques for Deep Networks
The Geometry of Deep Networks: Power Diagram Subdivision,Randall Balestriero · Romain Cosentino · Behnaam Aazhang · Richard Baraniuk,Deep Learning,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15517,,https://www.dropbox.com/s/ui4cgyqknwx4jgj/GeometryofDN.pdf?dl=0,,East Exhibition Hall B + C,Visualization or Exposition Techniques for Deep Networks
Visualizing and Measuring the Geometry of BERT,Emily Reif · Ann Yuan · Martin Wattenberg · Fernanda B Viegas · Andy Coenen · Adam Pearce · Been Kim,Deep Learning,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15517,,https://drive.google.com/file/d/1B39tkOKLz62EuYDpUj84XfcpqduJAJ9T/view,,East Exhibition Hall B + C,Visualization or Exposition Techniques for Deep Networks
Visualizing the PHATE of Neural Networks,Scott Gigante · Adam S Charles · Smita Krishnaswamy · Gal Mishne,Deep Learning,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15517,https://github.com/scottgigante/m-phate/raw/master/img/poster.pdf,,http://mishne.ucsd.edu/m-phate-video.html,East Exhibition Hall B + C,Visualization or Exposition Techniques for Deep Networks
A Graph Theoretic Additive Approximation of Optimal Transport,Nathaniel Lahn · Deepika Mulchandani · Sharath Raghvendra,Optimization,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15518,http://people.cs.vt.edu/~sharathr/NeurIPS2019/NeuripsPoster.pdf,,,East Exhibition Hall B + C,Combinatorial Optimization
Combinatorial Bayesian Optimization using the Graph Cartesian Product,Changyong Oh · Jakub Tomczak · Efstratios Gavves · Max Welling,Optimization,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15518,https://github.com/QUVA-Lab/COMBO/blob/master/COMBO_POSTER.pdf,,,East Exhibition Hall B + C,Combinatorial Optimization
Exact Combinatorial Optimization with Graph Convolutional Neural Networks,Maxime Gasse · Didier Chetelat · Nicola Ferroni · Laurent Charlin · Andrea Lodi,Optimization,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15518,,https://github.com/gasse/gasse.github.io/blob/master/files/NeurIPS_2019_learn2branch_slides.pdf,,East Exhibition Hall B + C,Combinatorial Optimization
Learning Local Search Heuristics for Boolean Satisfiability,Emre Yolcu · Barnabas Poczos,Optimization,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15518,,https://drive.google.com/file/d/1nohiQS8P9FXjUkJACtahifIIiAc8GMC5/view?usp=sharing,,East Exhibition Hall B + C,Combinatorial Optimization
Learning to Perform Local Rewriting for Combinatorial Optimization,Xinyun Chen · Yuandong Tian,Optimization,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15518,https://drive.google.com/open?id=1XjIZkAW1Cx9DBEsW0cUCJU7GSvLIUCv4,,,East Exhibition Hall B + C,Combinatorial Optimization
Adapting Neural Networks for the Estimation of Treatment Effects,Claudia Shi · David Blei · Victor Veitch,Probabilistic Methods,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15519,,https://github.com/claudiashi57/dragonnet/blob/master/talk_camera_ready.pdf,,East Exhibition Hall B + C,Causal Inference
Causal Regularization,Dominik Janzing,Probabilistic Methods,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15519,https://github.com/janzing/janzing.github.io/tree/master/Poster,https://github.com/janzing/janzing.github.io/tree/master/slides,,East Exhibition Hall B + C,Causal Inference
Characterization and Learning of Causal Graphs with Latent Variables from Soft Interventions,Murat Kocaoglu · Amin Jaber · Karthikeyan Shanmugam · Elias Bareinboim,Probabilistic Methods,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15519,https://www.dropbox.com/s/i0wfbvldnv4jd00/characterization_w_latents.pdf?dl=0,,,East Exhibition Hall B + C,Causal Inference
Debiased Bayesian inference for average treatment effects,Kolyan Ray · Botond Szabo,Probabilistic Methods,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15519,https://github.com/kolyanray/Bayesian-Causal-Inference,,,East Exhibition Hall B + C,Causal Inference
Deep Generalized Method of Moments for Instrumental Variable Analysis,Andrew Bennett · Nathan Kallus · Tobias Schnabel,Probabilistic Methods,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15519,,https://raw.githubusercontent.com/CausalML/DeepGMM/master/slides.pdf,,East Exhibition Hall B + C,Causal Inference
Efficient Identification in Linear Structural Causal Models with Instrumental Cutsets,Daniel Kumor · Bryant Chen · Elias Bareinboim,Probabilistic Methods,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15519,https://dkumor.com/posts/technical/files/neurips19/poster.pdf,,,East Exhibition Hall B + C,Causal Inference
Machine Learning Estimation of Heterogeneous Treatment Effects with Instruments,Vasilis Syrgkanis · Victor Lei · Miruna Oprescu · Maggie Hei · Keith Battocchi · Greg Lewis,Probabilistic Methods,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15519,,http://vsyrgkanis.com/camera_ready/neurips19/ml_instruments/instruments.pdf,,East Exhibition Hall B + C,Causal Inference
Identification of Conditional Causal Effects under Markov Equivalence,Amin Jaber · Jiji Zhang · Elias Bareinboim,Probabilistic Methods,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15519,,,https://www.dropbox.com/s/qucyzi28s7ycka9/NeurIPS19-CID.m4v?dl=0,East Exhibition Hall B + C,Causal Inference
Variance Reduction in Bipartite Experiments through Correlation Clustering,Jean Pouget-Abadie · Kevin Aydin · Warren Schudy · Kay Brodersen · Vahab Mirrokni,Probabilistic Methods,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15519,https://jean.pouget-abadie.com/neurips19_poster,,,East Exhibition Hall B + C,Causal Inference
 Generalized Off-Policy Actor-Critic,Shangtong Zhang · Wendelin Boehmer · Shimon Whiteson,Reinforcement Learning and Planning,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15520,,https://drive.google.com/open?id=1hyHk6f7ZURpWLltQh3EMCa5qcjCbQBg8,,East Exhibition Hall B + C,Decision and Control
Learner-aware Teaching: Inverse Reinforcement Learning with Preferences and Constraints,Sebastian Tschiatschek · Ahana Ghosh · Luis Haug · Rati Devidze · Adish Singla,Reinforcement Learning and Planning,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15520,https://tschiatschek.net/material/2019/neurips/learner-aware-teaching.pdf,,,East Exhibition Hall B + C,Decision and Control
Logarithmic Regret for Online Control,Naman Agarwal · Elad Hazan · Karan Singh,Reinforcement Learning and Planning,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15520,,https://i-am-karan-singh.github.io/docs/log-control/,,East Exhibition Hall B + C,Decision and Control
Adaptive Auxiliary Task Weighting for Reinforcement Learning,Xingyu Lin · Harjatin Baweja · George Kantor · David Held,Reinforcement Learning and Planning,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15520,https://www.dropbox.com/s/ft398syj1lpnx63/NeurIPS2019_poster.pdf?dl=0,https://www.dropbox.com/s/ry2wd7i8qho9cqm/NeurIPS2019_slides.pdf?dl=0,,East Exhibition Hall B + C,Decision and Control
A Meta-MDP Approach to Exploration for Lifelong Reinforcement Learning,Francisco Garcia · Philip Thomas,Reinforcement Learning and Planning,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15521,https://github.com/fmaxgarcia/Meta-MDP/blob/master/MetaPoster.pdf,,,East Exhibition Hall B + C,Exploration
Limiting Extrapolation in Linear Approximate Value Iteration,Andrea Zanette · Alessandro Lazaric · Mykel J Kochenderfer · Emma Brunskill,Reinforcement Learning and Planning,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15521,https://drive.google.com/drive/folders/1f3DVBCM58eFa5_dc80v6FUg3HgyhwWi8?usp=sharing,,,East Exhibition Hall B + C,Exploration
Propagating Uncertainty in Reinforcement Learning via Wasserstein Barycenters,Alberto Maria Metelli · Amarildo Likmeta · Marcello Restelli,Reinforcement Learning and Planning,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15521,https://albertometelli.github.io/download/poster_neurips2019.pdf,,,East Exhibition Hall B + C,Exploration
Provably Efficient Q-Learning with Low Switching Cost,Yu Bai · Tengyang Xie · Nan Jiang · Yu-Xiang Wang,Reinforcement Learning and Planning,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15521,https://yubai.org/low-switching-poster.pdf,,,East Exhibition Hall B + C,Exploration
Regret Bounds for Learning State Representations in Reinforcement Learning,Ronald Ortner · Matteo Pirotta · Alessandro Lazaric · Ronan Fruit · Odalric-Ambrym Maillard,Reinforcement Learning and Planning,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15521,,http://teopir.github.io/files/2019/neurips2019_regretrep.pdf,,East Exhibition Hall B + C,Exploration
Safe Exploration for Interactive Machine Learning,Matteo Turchetta · Felix Berkenkamp · Andreas Krause,Reinforcement Learning and Planning,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15521,,https://las.inf.ethz.ch/files/turchetta19goose-slides.pdf,,East Exhibition Hall B + C,Exploration
Successor Uncertainties: Exploration and Uncertainty in Temporal Difference Learning,David Janz · Jiri Hron · Przemysław Mazur · Katja Hofmann · José Miguel Hernández-Lobato · Sebastian Tschiatschek,Reinforcement Learning and Planning,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15521,,,djanz.org/successor_uncertainties/video,East Exhibition Hall B + C,Exploration
A Family of Robust Stochastic Operators for Reinforcement Learning,Yingdong Lu · Mark Squillante · Chai Wah Wu,Reinforcement Learning and Planning,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15522,,https://drive.google.com/file/d/17puSR0Qfx_Z5I2FKZZdcviCfwv9KCUWX/view?usp=sharing,,East Exhibition Hall B + C,Markov Decision Processes
A Unified Bellman Optimality Principle Combining Reward Maximization and Empowerment,Felix Leibfried · Sergio Pascual-Díaz · Jordi Grau-Moya,Reinforcement Learning and Planning,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15522,https://drive.google.com/file/d/1pxGhmacJXPEzIBDNU02OXtVNJ3sT13Bk/view?usp=sharing,,,East Exhibition Hall B + C,Markov Decision Processes
Finite-Sample Analysis for SARSA with Linear Function Approximation,Shaofeng Zou · Tengyu Xu · Yingbin Liang,Reinforcement Learning and Planning,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15522,http://www.acsu.buffalo.edu/~szou3/sarsa_neurips2019poster.pdf,,,East Exhibition Hall B + C,Markov Decision Processes
Maximum Expected Hitting Cost of a Markov Decision Process and Informativeness of Rewards,Falcon Dai · Matthew Walter,Reinforcement Learning and Planning,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15522,https://github.com/falcondai/poster-MEHC-PBRS/raw/master/poster.pdf,,,East Exhibition Hall B + C,Markov Decision Processes
Non-Asymptotic Gap-Dependent Regret Bounds for Tabular MDPs,Max Simchowitz · Kevin Jamieson,Reinforcement Learning and Planning,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15522,,https://drive.google.com/file/d/1LyykLUNQS335YJtNK38hNl7m7Nk94wSJ/view?usp=sharing,,East Exhibition Hall B + C,Markov Decision Processes
Regret Minimization for Reinforcement Learning with Vectorial Feedback and Complex Objectives,Wang Chi Cheung,Reinforcement Learning and Planning,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15522,https://1drv.ms/b/s!AjwsJ4MpZDk_11Nn9bvf2d414oci?e=vgFSJb,,,East Exhibition Hall B + C,Markov Decision Processes
Sampling Networks and Aggregate Simulation for Online POMDP Planning,Hao(Jackson) Cui · Roni Khardon,Reinforcement Learning and Planning,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15522,,,https://youtu.be/IcC-O1AALXE,East Exhibition Hall B + C,Markov Decision Processes
Two Time-scale Off-Policy TD Learning: Non-asymptotic Analysis over Markovian Samples,Tengyu Xu · Shaofeng Zou · Yingbin Liang,Reinforcement Learning and Planning,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15522,https://drive.google.com/drive/folders/1qRozMUG6bdXVpTolgmmEKthBEvu03d_Q?usp=sharing,,,East Exhibition Hall B + C,Markov Decision Processes
Value Function in Frequency Domain and the Characteristic Value Iteration Algorithm,Amir-massoud Farahmand,Reinforcement Learning and Planning,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15522,http://academic.sologen.net/2019/10/28/value-function-in-frequency-domain-and-the-characteristic-value-iteration-algorithm/,,,East Exhibition Hall B + C,Markov Decision Processes
Addressing Sample Complexity in Visual Tasks Using HER and Hallucinatory GANs,Himanshu Sahni · Toby Buckley · Pieter Abbeel · Ilya Kuzovkin,Reinforcement Learning and Planning,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15523,https://drive.google.com/open?id=1Vf89lDBaV1tG1ZAymSb_tNAXW_34mUak,,,East Exhibition Hall B + C,Navigation
Chasing Ghosts: Instruction Following as Bayesian State Tracking,Peter Anderson · Ayush Shrivastava · Devi Parikh · Dhruv Batra · Stefan Lee,Reinforcement Learning and Planning,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15523,,,https://www.panderson.me/images/vln-chasing-ghosts.mp4,East Exhibition Hall B + C,Navigation
(Nearly) Efficient Algorithms for the Graph Matching Problem on Correlated Random Graphs,Boaz Barak · Chi-Ning Chou · Zhixian Lei · Tselil Schramm · Yueqi Sheng,Theory,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15524,,https://cnchou.github.io/docs/research/slides/slides-neurips19.pdf,,East Exhibition Hall B + C,Computational Complexity
The Parameterized Complexity of Cascading Portfolio Scheduling,Eduard Eiben · Robert Ganian · Iyad Kanj · Stefan Szeider,Theory,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15524,https://www.dropbox.com/s/0wpip8zuzankupq/poster_NeurIPS_4172.pdf?dl=0,,,East Exhibition Hall B + C,Computational Complexity
ADDIS: an adaptive discarding algorithm for online FDR control with conservative nulls,Jinjin Tian · Aaditya Ramdas,Theory,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15525,https://www.dropbox.com/s/uj6tnyqzgulxx76/Nuerips2019poster.pdf?dl=0,,,East Exhibition Hall B + C,Frequentist Statistics
Conformal Prediction Under Covariate Shift,Ryan Tibshirani · Rina Foygel Barber · Emmanuel Candes · Aaditya Ramdas,Theory,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15525,http://www.stat.cmu.edu/~ryantibs/posters/weightedcp.pdf,,,East Exhibition Hall B + C,Frequentist Statistics
Approximation Ratios of Graph Neural Networks for Combinatorial Problems,Ryoma Sato · Makoto Yamada · Hisashi Kashima,Theory,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15526,https://drive.google.com/file/d/1WbUeyeXg-wz8Pi4Y0AO9br8T1gvjmfvv/view?usp=sharing,,,East Exhibition Hall B + C,Hardness of Learning and Approximations
Deep ReLU Networks Have Surprisingly Few Activation Patterns,Boris Hanin · David Rolnick,Theory,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15526,,https://drive.google.com/open?id=1A9JdmMI1CP_BkQMxOlvRrX5PvvIRVelv,,East Exhibition Hall B + C,Hardness of Learning and Approximations
Efficient Approximation of Deep ReLU Networks for Functions on Low Dimensional Manifolds,Minshuo Chen · Haoming Jiang · Wenjing Liao · Tuo Zhao,Theory,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15526,https://www2.isye.gatech.edu/~tzhao80/posters/chen2019efficient.pdf,,,East Exhibition Hall B + C,Hardness of Learning and Approximations
Efficient Deep Approximation of GMMs,Shirin Jalali · Carl Nuzman · Iraj Saniee,Theory,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15526,https://sites.google.com/site/shirinjalali/NeurIPS2019_poster.pdf,,,East Exhibition Hall B + C,Hardness of Learning and Approximations
Universal Invariant and Equivariant Graph Neural Networks,Nicolas Keriven · Gabriel Peyré,Theory,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15526,,nkeriven.github.io/files/19_10_gdr_isis.pdf,,East Exhibition Hall B + C,Hardness of Learning and Approximations
Control Batch Size and Learning Rate to Generalize Well: Theoretical and Empirical Evidence,Fengxiang He · Tongliang Liu · Dacheng Tao,Theory,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15527,https://www.dropbox.com/s/no9nhhqqig8ofep/676%20-%20summary%20slid.pdf?dl=0,,,East Exhibition Hall B + C,Learning Theory
Data-dependent Sample Complexity of Deep Neural Networks via Lipschitz Augmentation,Colin Wei · Tengyu Ma,Theory,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15527,,https://drive.google.com/file/d/1E5SV6Mx_YDCPqnE5aAISSTk09mUkNu6L/view?usp=sharing,,East Exhibition Hall B + C,Learning Theory
Exact inference in structured prediction,Kevin Bello · Jean Honorio,Theory,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15527,https://kevinsbello.github.io/files/exact-inference-poster.pdf,,,East Exhibition Hall B + C,Learning Theory
Globally optimal score-based learning of directed acyclic graphs in high-dimensions,Bryon Aragam · Arash Amini · Qing Zhou,Theory,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15527,https://www.dropbox.com/s/qjsxkjbpdu47ggw/neurips_poster_2019.pdf?dl=0,,,East Exhibition Hall B + C,Learning Theory
List-decodable Linear Regression,Sushrut Karmalkar · Adam Klivans · Pravesh Kothari,Theory,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15527,https://drive.google.com/drive/folders/1xpZ77WUCcfLO1lIQMHedAz8EVxDBione?usp=sharing,,,East Exhibition Hall B + C,Learning Theory
On the Calibration of Multiclass Classification  with Rejection,Chenri Ni · Nontawat Charoenphakdee · Junya Honda · Masashi Sugiyama,Theory,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15527,https://nolfwin.github.io/assets/poster/NeurIPS2019_calibration_poster.pdf,,,East Exhibition Hall B + C,Learning Theory
On the Hardness of Robust Classification,Pascale Gourdeau · Varun Kanade · Marta Kwiatkowska · James Worrell,Theory,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15527,,http://www.cs.ox.ac.uk/files/11245/long-presentation-slides.pdf,,East Exhibition Hall B + C,Learning Theory
Optimal Analysis of Subset-Selection Based L_p Low-Rank Approximation,Chen Dan · Hong Wang · Hongyang Zhang · Yuchen Zhou · Pradeep Ravikumar,Theory,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15527,https://chendancmu.github.io/files/NeurIPS_Lp_poster.pdf,https://chendancmu.github.io/files/NeurIPS_Lp_slides.pdf,,East Exhibition Hall B + C,Learning Theory
PAC-Bayes under potentially heavy tails,Matthew Holland,Theory,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15527,https://github.com/feedbackward/1dim,,,East Exhibition Hall B + C,Learning Theory
Quantum Entropy Scoring for Fast Robust Mean Estimation and Improved Outlier Detection,Yihe Dong · Samuel Hopkins · Jerry Li,Theory,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15527,http://www.samuelbhopkins.com/que_summary.pdf,,,East Exhibition Hall B + C,Learning Theory
Uniform convergence may be unable to explain generalization in deep learning,Vaishnavh Nagarajan · J. Zico Kolter,Theory,Poster,Tue Dec 10th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15527,http://www.cs.cmu.edu/~vaishnan/talks/neurips19_uc_poster.pdf,http://www.cs.cmu.edu/~vaishnan/talks/neurips19_uc_slides.pdf,https://www.youtube.com/watch?v=o3GfnEjTdIQ,East Exhibition Hall B + C,Learning Theory
D-VAE: A Variational Autoencoder for Directed Acyclic Graphs,Muhan Zhang · Shali Jiang · Zhicheng Cui · Roman Garnett · Yixin Chen,Algorithms,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15528,,https://www.dropbox.com/s/29m3igqojo6m4lg/slides.pptx?dl=0,,East Exhibition Hall B + C,AutoML
DATA: Differentiable ArchiTecture Approximation,Jianlong Chang · xinbang zhang · Yiwen Guo · GAOFENG MENG · SHIMING XIANG · Chunhong Pan,Algorithms,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15528,https://github.com/XinbangZhang/DATA-NAS/tree/master/poster,,,East Exhibition Hall B + C,AutoML
DetNAS: Backbone Search for Object Detection,Yukang Chen · Tong Yang · Xiangyu Zhang · GAOFENG MENG · Xinyu Xiao · Jian Sun,Algorithms,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15528,,https://drive.google.com/open?id=1K0CHE7jh0DrXtscsRjDBKkWRbzMSP3hL,,East Exhibition Hall B + C,AutoML
Discovering Neural Wirings,Mitchell Wortsman · Ali Farhadi · Mohammad Rastegari,Algorithms,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15528,https://mitchellnw.github.io/assets/pdf/dnw_poster.pdf,,,East Exhibition Hall B + C,AutoML
Fast AutoAugment,Sungbin Lim · Ildoo Kim · Taesup Kim · Chiheon Kim · Sungwoong  Kim,Algorithms,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15528,https://www.dropbox.com/s/ritpl5wwb3y2vqb/poster_faa.pdf?dl=0,,,East Exhibition Hall B + C,AutoML
Meta-Surrogate Benchmarking for Hyperparameter Optimization,Aaron Klein · Zhenwen Dai · Frank Hutter · Neil Lawrence · Javier Gonzalez,Algorithms,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15528,http://www.ml4aad.org/wp-content/uploads/2019/05/profet_poster.pdf,,,East Exhibition Hall B + C,AutoML
NAT: Neural Architecture Transformer for Accurate and Compact Architectures,Yong Guo · Yin Zheng · Mingkui Tan · Qi Chen · Jian Chen · Peilin Zhao · Junzhou Huang,Algorithms,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15528,https://guoyongcs.github.io/NAT-Materials/NAT_Poster.pdf,https://guoyongcs.github.io/NAT-Materials/NAT_Slides.pdf,,East Exhibition Hall B + C,AutoML
Network Pruning via Transformable Architecture Search,Xuanyi Dong · Yi Yang,Algorithms,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15528,http://d-x-y.github.io/resources/posters/NeurIPS-2019-TAS.pdf,,,East Exhibition Hall B + C,AutoML
Scalable Global Optimization via Local Bayesian Optimization,David Eriksson · Michael Pearce · Jacob Gardner · Ryan Turner · Matthias Poloczek,Algorithms,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15528,,https://drive.google.com/file/d/1I7Xsqh87GenYU9sXnWf1R2dZFKctqlYx/view?usp=sharing,,East Exhibition Hall B + C,AutoML
XNAS: Neural Architecture Search with Expert Advice,Niv Nayman · Asaf Noy · Tal Ridnik · Itamar Friedman · Rong Jin · Lihi Zelnik,Algorithms,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15528,https://drive.google.com/file/d/1sRfDYJwOCeWJeISIjug4bwI3pgSj__i1/view?usp=sharing,,,East Exhibition Hall B + C,AutoML
Bayesian Optimization under Heavy-tailed Payoffs,Sayak Ray Chowdhury · Aditya Gopalan,Algorithms,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15494,,https://github.com/sayakrc/Bayesian-Optimization-under-Heavy-tailed-Payoffs/blob/master/slides.pdf,,East Exhibition Hall B + C,Bandit Algorithms
"Connections Between Mirror Descent, Thompson Sampling and the Information Ratio",Julian Zimmert · Tor Lattimore,Algorithms,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15494,https://drive.google.com/file/d/1LqeSTmTw4l56IwlEsVzWMQO0aS9aDAVN/view?usp=sharing,,,East Exhibition Hall B + C,Bandit Algorithms
Individual Regret in Cooperative Nonstochastic Multi-Armed Bandits,Yogev Bar-On · Yishay Mansour,Algorithms,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15494,https://drive.google.com/file/d/19GCxBWvXwoWqYIZqwZje4-qR12O69lpw/view?usp=sharing,,,East Exhibition Hall B + C,Bandit Algorithms
Learning Multiple Markov Chains via Adaptive Allocation,Mohammad Sadegh Talebi · Odalric-Ambrym Maillard,Algorithms,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15494,,http://researchers.lille.inria.fr/~mtalebim/nips2019_slides.pdf,,East Exhibition Hall B + C,Bandit Algorithms
Linear Stochastic Bandits Under Safety Constraints,Sanae Amani · Mahnoosh Alizadeh · Christos Thrampoulidis,Algorithms,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15494,https://drive.google.com/file/d/1pAzHyo-EA9aYXDKqZftuMQneQVNwku4X/view?usp=sharing,,,East Exhibition Hall B + C,Bandit Algorithms
Personalizing Many Decisions with High-Dimensional Covariates,Nima Hamidi · Mohsen Bayati · Kapil Gupta,Algorithms,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15494,,https://github.com/nimily/real-bandit/blob/master/slides/real-bandit.pdf,,East Exhibition Hall B + C,Bandit Algorithms
Non-Asymptotic Pure Exploration by Solving Games,Rémy Degenne · Wouter Koolen · Pierre Ménard,Algorithms,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15494,,https://remydegenne.github.io/docs/exploration_with_games_talk_2019/talk.pdf,,East Exhibition Hall B + C,Bandit Algorithms
Online EXP3 Learning in Adversarial Bandits with Delayed Feedback,Ilai Bistritz · Zhengyuan Zhou · Xi Chen · Nicholas Bambos · Jose Blanchet,Algorithms,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15494,https://www.dropbox.com/s/uvay0x0uhwg5i5v/Poster-NIPS2019.pdf?dl=0,,,East Exhibition Hall B + C,Bandit Algorithms
Optimal Best Markovian Arm Identification with Fixed Confidence,Vrettos Moulos,Algorithms,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15494,https://vrettos.github.io/NeurIPS19/poster.pdf,,,East Exhibition Hall B + C,Bandit Algorithms
Oracle-Efficient Algorithms for Online Linear Optimization with Bandit Feedback,Shinji Ito · Daisuke Hatano · Hanna Sumita · Kei Takemura · Takuro Fukunaga · Naonori Kakimura · Ken-Ichi Kawarabayashi,Algorithms,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15494,https://www.dropbox.com/s/ff8sor6vaspmakp/NeurIPS2019-poster-oracle-efficient.pdf?dl=0,,,East Exhibition Hall B + C,Bandit Algorithms
Regret Bounds for Thompson Sampling in Episodic Restless Bandit Problems,Young Hun Jung · Ambuj Tewari,Algorithms,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15494,https://drive.google.com/file/d/1mrQGG7esp1YoyIWd__W9JQnSUpxRL1PS/view?usp=sharing,,,East Exhibition Hall B + C,Bandit Algorithms
Thresholding Bandit with Optimal Aggregate Regret,Chao Tao · Saúl Blanco · Jian Peng · Yuan Zhou,Algorithms,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15494,https://www.dropbox.com/s/jrvzmzmvyz66xoj/main.pdf?dl=0,,,East Exhibition Hall B + C,Bandit Algorithms
Weighted Linear Bandits for Non-Stationary Environments,Yoan Russac · Claire Vernade · Olivier Cappé,Algorithms,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15494,,https://www.yoanrussac.com/en/publication/conference-paper/NIPS_pres.pdf,,East Exhibition Hall B + C,Bandit Algorithms
A Linearly Convergent Proximal Gradient Algorithm for Decentralized  Optimization,Sulaiman Alghunaim · Kun Yuan · Ali H Sayed,Algorithms,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15529,https://asl.epfl.ch/conferences/,,,East Exhibition Hall B + C,Large Scale Learning
Asymptotics for Sketching in Least Squares Regression,Edgar Dobriban · Sifan Liu,Algorithms,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15529,,https://github.com/dobriban/Talks/blob/master/Dobriban_-_A_new_theory_for_sketching_in_linear_regression_-_Montreal_Mar_2019.pdf,,East Exhibition Hall B + C,Large Scale Learning
DETOX: A Redundancy-based Framework for Faster and More Robust Gradient Aggregation,Shashank Rajput · Hongyi Wang · Zachary Charles · Dimitris Papailiopoulos,Algorithms,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15529,http://pages.cs.wisc.edu/~hongyiwang/poster_neurips19/DETOX_NeurIPS2019.pdf,,,East Exhibition Hall B + C,Large Scale Learning
Large-scale optimal transport map estimation using projection pursuit,Cheng Meng · Yuan Ke · Jingyi Zhang · Mengrui Zhang · Wenxuan Zhong · Ping Ma,Algorithms,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15529,https://slack-files.com/TPMRMF5R6-FPQ2E8ZD4-a59bebb964,,,East Exhibition Hall B + C,Large Scale Learning
Locality-Sensitive Hashing for f-Divergences: Mutual Information Loss and Beyond,Lin Chen · Hossein Esfandiari · Gang Fu · Vahab Mirrokni,Algorithms,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15529,https://github.com/lchen91/Locality-Sensitive-Hashing-for-f-Divergences-and-Krein-Kernels/blob/master/poster.pdf,,,East Exhibition Hall B + C,Large Scale Learning
Massively scalable Sinkhorn distances via the Nyström method,Jason Altschuler · Francis Bach · Alessandro Rudi · Jonathan Niles-Weed,Algorithms,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15529,,https://www.jonathannilesweed.com/files/ABNR19_neurips.pdf,,East Exhibition Hall B + C,Large Scale Learning
On the Global Convergence of (Fast) Incremental Expectation Maximization Methods,Belhal Karimi · Hoi-To Wai · Eric Moulines · Marc Lavielle,Algorithms,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15529,,http://www1.se.cuhk.edu.hk/~htwai/pdf/fiempres.pdf,,East Exhibition Hall B + C,Large Scale Learning
Optimal Sparsity-Sensitive Bounds for  Distributed Mean Estimation,zengfeng Huang · Ziyue Huang · Yilei WANG · Ke Yi,Algorithms,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15529,https://www.dropbox.com/s/v3nbt1wa7pis3z5/DME_nips_poster.pdf?dl=0,,,East Exhibition Hall B + C,Large Scale Learning
"Qsparse-local-SGD: Distributed SGD with Quantization, Sparsification and Local Computations",Debraj Basu · Deepesh Data · Can Karakus · Suhas Diggavi,Algorithms,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15529,,https://drive.google.com/file/d/1Tx0KTnu1VOi_yAxcrsLwc9JzTMdsvy5S/view,https://youtu.be/UxXdAdkyAF0,East Exhibition Hall B + C,Large Scale Learning
Random Projections with Asymmetric Quantization,Xiaoyun Li · Ping Li,Algorithms,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15529,,https://drive.google.com/file/d/1t0qcFYwdEb_XLtyL4Vedp4Nn26XZ69pZ/view,,East Exhibition Hall B + C,Large Scale Learning
Re-randomized Densification for One Permutation Hashing and Bin-wise Consistent Weighted Sampling,Ping Li · Xiaoyun Li · Cun-Hui Zhang,Algorithms,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15529,https://drive.google.com/open?id=1hkRNoRzGbywx25ctejzAhsIPFvALLzHG,,,East Exhibition Hall B + C,Large Scale Learning
Robust and Communication-Efficient Collaborative Learning,Amirhossein Reisizadeh · Hossein Taheri · Aryan Mokhtari · Hamed Hassani · Ramtin Pedarsani,Algorithms,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15529,https://web.ece.ucsb.edu/~reisizadeh/publication/QuanTimed-DSGS-NeurIPS19/poster.pdf,https://web.ece.ucsb.edu/~reisizadeh/publication/QuanTimed-DSGS-NeurIPS19/slides.pdf,,East Exhibition Hall B + C,Large Scale Learning
Sampled Softmax with Random Fourier Features,Ankit Singh Rawat · Jiecao Chen · Felix Xinnan Yu · Ananda Theertha Suresh · Sanjiv Kumar,Algorithms,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15529,https://ankitsrawat.github.io/home/RFsoftmax-poster.pdf,,,East Exhibition Hall B + C,Large Scale Learning
Extreme Classification in Log Memory using Count-Min Sketch: A Case Study of Amazon Search with 50M Products,Tharun Kumar Reddy Medini · Qixuan Huang · Yiqiu Wang · Vijai Mohan · Anshumali Shrivastava,Algorithms,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15529,https://tharun24.github.io/Tharun_Medini_Poster.pdf,,,East Exhibition Hall B + C,Large Scale Learning
Sliced Gromov-Wasserstein,Vayer Titouan · Rémi Flamary · Nicolas Courty · Romain Tavenard · Laetitia Chapel,Algorithms,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15529,,https://github.com/tvayer/SGW/blob/master/sgw.pdf,,East Exhibition Hall B + C,Large Scale Learning
SySCD: A System-Aware Parallel Coordinate Descent Algorithm,Nikolas Ioannou · Celestine Mendler-Dünner · Thomas Parnell,Algorithms,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15529,https://www.zurich.ibm.com/snapml/neurips19/SySCD-poster-neurips19.pdf,http://celestine.ai/neurips19/cdu-syscd-neurips19.pdf,,East Exhibition Hall B + C,Large Scale Learning
GPipe: Efficient Training of Giant Neural Networks using Pipeline Parallelism,Yanping Huang · Youlong Cheng · Ankur Bapna · Orhan Firat · Dehao Chen · Mia Chen · HyoukJoong Lee · Jiquan Ngiam · Quoc V Le · Yonghui Wu · zhifeng Chen,Algorithms,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15529,https://drive.google.com/open?id=13E55PM34SWigjlSKYAtS2DX6TM6FATiK,https://drive.google.com/open?id=1-lblHhNOa65pyk2J9RQKMOZyIKJCNZes,,East Exhibition Hall B + C,Large Scale Learning
Adaptive Gradient-Based Meta-Learning Methods,Mikhail Khodak · Maria-Florina Balcan · Ameet Talwalkar,Algorithms,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15530,http://www.cs.cmu.edu/~mkhodak/docs/ARUBA2019Poster.pdf,http://www.cs.cmu.edu/~mkhodak/docs/ARUBA2019Slides.pdf,,East Exhibition Hall B + C,Meta-Learning
Guided Meta-Policy Search,Russell Mendonca · Abhishek Gupta · Rosen Kralev · Pieter Abbeel · Sergey Levine · Chelsea Finn,Algorithms,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15530,https://drive.google.com/file/d/1JHKFFmTnMX1IvauTkeDc6AOJVCdgGkGJ/view?usp=sharing,https://drive.google.com/file/d/1n4KsWoaMVSIhdateZ5UMNv84EAwRHB7n/view?usp=sharing,https://drive.google.com/file/d/1hwnb9TaY4uPTvsLv1C6WULqcVWMm9AIc/view?usp=sharing,East Exhibition Hall B + C,Meta-Learning
Learning to Propagate for Graph Meta-Learning,LU LIU · Tianyi Zhou · Guodong Long · Jing Jiang · Chengqi Zhang,Algorithms,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15530,https://liulu112601.github.io/resources/Graph-Meta-Learning-Poster-revised.pdf,https://liulu112601.github.io/resources/GPN-NeurIPS-Slides-revised.pdf,,East Exhibition Hall B + C,Meta-Learning
Meta Learning with Relational Information for Short Sequences,Yujia Xie · Haoming Jiang · Feng Liu · Tuo Zhao · Hongyuan Zha,Algorithms,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15530,https://github.com/HMJiangGatech/harmless/blob/master/paper_poster/HARMLESS.pdf,,,East Exhibition Hall B + C,Meta-Learning
Meta-Curvature,Eunbyung Park · Junier Oliva,Algorithms,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15530,,https://github.com/silverbottlep/meta_curvature,,East Exhibition Hall B + C,Meta-Learning
Meta-Learning Representations for Continual Learning,Khurram Javed · Martha White,Algorithms,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15530,https://sites.ualberta.ca/~kjaved/posters/mrcl.pdf,https://sites.ualberta.ca/~kjaved/mrcl.html,,East Exhibition Hall B + C,Meta-Learning
Meta-Learning with Implicit Gradients,Aravind Rajeswaran · Chelsea Finn · Sham Kakade · Sergey Levine,Algorithms,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15530,,https://sites.google.com/view/imaml,,East Exhibition Hall B + C,Meta-Learning
Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting,Jun Shu · Qi Xie · Lixuan Yi · Qian Zhao · Sanping Zhou · Zongben Xu · Deyu Meng,Algorithms,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15530,,,,East Exhibition Hall B + C,Meta-Learning
Self-Supervised Generalisation with Meta Auxiliary Learning,Shikun Liu · Andrew Davison · Edward Johns,Algorithms,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15530,https://shikun.io/pdfs/maxl_poster.pdf,,,East Exhibition Hall B + C,Meta-Learning
Iterative Least Trimmed Squares for Mixed Linear Regression,Yanyao Shen · Sujay Sanghavi,Algorithms,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15531,https://www.dropbox.com/s/ub7d9g9jyd3gjek/Poster_NeurIPS2019_MLR.pdf?dl=0,,,East Exhibition Hall B + C,Regression
"Kalman Filter, Sensor Fusion, and Constrained Regression: Equivalences and Insights",Maria Jahja · David Farrow · Roni Rosenfeld · Ryan Tibshirani,Algorithms,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15531,http://www.stat.cmu.edu/~ryantibs/posters/sensorfus.pdf,,,East Exhibition Hall B + C,Regression
Multivariate Distributionally Robust Convex Regression under Absolute Error Loss,Jose Blanchet · Peter W Glynn · Jun Yan · Zhengqing Zhou,Algorithms,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15531,,https://web.stanford.edu/~zqzhou/DRCR_Slides.pdf,,East Exhibition Hall B + C,Regression
Optimal Sketching for Kronecker Product Regression and Low Rank Approximation,Huaian Diao · Rajesh Jayaram · Zhao Song · Wen Sun · David Woodruff,Algorithms,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15531,http://rajeshjayaram.com/Neurips19Poster.pdf,,,East Exhibition Hall B + C,Regression
Deep Set Prediction Networks,Yan Zhang · Jonathon Hare · Adam Prugel-Bennett,Algorithms,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15532,https://www.cyanogenoid.com/files/dspn-poster.pdf,,,East Exhibition Hall B + C,Structured Prediction
Learning Positive Functions with Pseudo Mirror Descent,Yingxiang Yang · Haoxiang Wang · Negar Kiyavash · Niao He,Algorithms,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15532,,,https://www.dropbox.com/sh/veks5wyi9p1s4wd/AACfKZ-D-gjlorqfqT_bH_Gea?dl=0,East Exhibition Hall B + C,Structured Prediction
Localized Structured Prediction,Carlo Ciliberto · Francis Bach · Alessandro Rudi,Algorithms,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15532,,https://cciliber.github.io/localized-structured-prediction/slides/localized-structured-prediction.pdf,,East Exhibition Hall B + C,Structured Prediction
Online Markov Decoding: Lower Bounds and Near-Optimal Approximation Algorithms,Vikas Garg · Tamar Pichkhadze,Algorithms,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15532,,https://www.mit.edu/~vgarg/OnlineMarkovSlides.pdf,,East Exhibition Hall B + C,Structured Prediction
Retrosynthesis Prediction with Conditional Graph Logic Network,Hanjun Dai · Chengtao Li · Connor Coley · Bo Dai · Le Song,Algorithms,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15532,https://www.dropbox.com/s/b29h7jiwctt1c4p/poster.pdf?dl=0,https://www.dropbox.com/s/smoz48fcv4z2aum/slides.pdf?dl=0,,East Exhibition Hall B + C,Structured Prediction
DeepUSPS: Deep Robust Unsupervised Saliency Prediction via Self-supervision,Tam Nguyen · Maximilian Dax · Chaithanya Kumar Mummadi · Nhung Ngo · Thi Hoai Phuong Nguyen · Zhongyu Lou · Thomas Brox,Algorithms,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15533,https://drive.google.com/file/d/17gXUU3gEhVMVSUj0WQChHtEA3fVeqkiz/view?usp=sharing,,,East Exhibition Hall B + C,Unsupervised Learning
Emergence of Object Segmentation in Perturbed Generative Models,Adam Bielski · Paolo Favaro,Algorithms,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15533,http://www.cvg.unibe.ch/media/publications/pdf/neurips19_perturbedseg_poster.pdf,,,East Exhibition Hall B + C,Unsupervised Learning
On Adversarial Mixup Resynthesis,Christopher Beckham · Sina Honari · Alex Lamb · Vikas Verma · Farnoosh Ghadiri · R Devon Hjelm · Yoshua Bengio · Chris Pal,Algorithms,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15533,,,https://www.youtube.com/watch?v=ezbC3_VZeNY,East Exhibition Hall B + C,Unsupervised Learning
q-means: A quantum algorithm for unsupervised machine learning,Iordanis Kerenidis · Jonas Landman · Alessandro Luongo · Anupam Prakash,Algorithms,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15533,https://www.dropbox.com/s/fvagesams0qixuv/poster.pdf?dl=0,,,East Exhibition Hall B + C,Unsupervised Learning
Scalable Gromov-Wasserstein Learning for Graph Partitioning and Matching,Hongteng Xu · Dixin Luo · Lawrence Carin,Algorithms,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15533,https://drive.google.com/file/d/1WIAMFvXPpjNaJSN-_4uwWr9Al8byNKZQ/view?usp=sharing,,,East Exhibition Hall B + C,Unsupervised Learning
Symmetry-Based Disentangled Representation Learning requires Interaction with Environments,Hugo Caselles-Dupré · Michael Garcia Ortiz · David Filliat,Algorithms,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15533,https://github.com/Caselles/NeurIPS19-SBDRL/blob/master/static/_NeurIPS19_Poster__SBDRL_requires_Interactions_w_Env.pdf,https://github.com/Caselles/NeurIPS19-SBDRL/blob/master/static/%5BNeurIPS19%5D%20SBDRL%20requires%20Interactions%20with%20Environments.pdf,https://youtu.be/jyN3ZQNH1GI,East Exhibition Hall B + C,Unsupervised Learning
Deep Structured Prediction for Facial Landmark Detection,Lisha Chen · Hui Su · Qiang Ji,Applications,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15534,https://www.dropbox.com/sh/vpc754afpoyohi8/AABfOa246WnIa4Uq_fRUodC6a?dl=0,,,East Exhibition Hall B + C,"Body Pose, Face, and Gesture Analysis"
Dual Variational Generation for Low Shot Heterogeneous Face Recognition,Chaoyou Fu · Xiang Wu · Yibo Hu · Huaibo Huang · Ran He,Applications,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15534,https://drive.google.com/file/d/1fRxKyvQE2mmjhH64rsyQNq2xuQCF8G0z/view?usp=sharing,,,East Exhibition Hall B + C,"Body Pose, Face, and Gesture Analysis"
Face Reconstruction from Voice using Generative Adversarial Networks,Yandong Wen · Bhiksha Raj · Rita Singh,Applications,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15534,http://ydwen.github.io/papers/WenNeurIPS19-poster.pdf,,,East Exhibition Hall B + C,"Body Pose, Face, and Gesture Analysis"
Learning Temporal Pose Estimation from Sparsely-Labeled Videos,Gedas Bertasius · Christoph Feichtenhofer · Du Tran · Jianbo Shi · Lorenzo Torresani,Applications,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15534,https://gberta.github.io/uploads/3/1/4/8/31486883/posewarper_poster_small.pdf,,,East Exhibition Hall B + C,"Body Pose, Face, and Gesture Analysis"
Multi-label Co-regularization for Semi-supervised Facial Action Unit Recognition,Xuesong Niu · Hu Han · Shiguang Shan · Xilin Chen,Applications,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15534,https://nxsedson.github.io/poster/NeurIPS2019_poster.pdf,,,East Exhibition Hall B + C,"Body Pose, Face, and Gesture Analysis"
Sim2real transfer learning for 3D human pose estimation: motion to the rescue,Carl Doersch · Andrew Zisserman,Applications,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15534,,https://drive.google.com/open?id=1yXW9PvId4xUFzkD9s3CI6XNn1p8vBz-S,,East Exhibition Hall B + C,"Body Pose, Face, and Gesture Analysis"
Adaptive Density Estimation for Generative Models,Thomas Lucas · Konstantin Shmelkov · Karteek Alahari · Cordelia Schmid · Jakob Verbeek,Deep Learning,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15512,https://thoth.inrialpes.fr/people/tlucas/poster.pdf,,,East Exhibition Hall B + C,Generative Models
Adversarial Fisher Vectors for Unsupervised Representation Learning,Joshua Susskind · Shuangfei Zhai · Walter Talbott · Carlos Guestrin,Deep Learning,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15512,https://github.com/apple/ml-afv/blob/master/poster.pdf,,,East Exhibition Hall B + C,Generative Models
Co-Generation with GANs using AIS based HMC,Tiantian Fang · Alexander Schwing,Deep Learning,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15512,,https://drive.google.com/file/d/1Vt9era-OcLA-yL_o1tExZL7BQgAlVDiW/view?usp=sharing,,East Exhibition Hall B + C,Generative Models
Compression with Flows via Local Bits-Back Coding,Jonathan Ho · Evan Lohn · Pieter Abbeel,Deep Learning,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15512,,https://drive.google.com/open?id=1A6t2F88GJBkhSZgyn26ImjzNi3O1A-FT,,East Exhibition Hall B + C,Generative Models
Direct Optimization through $\arg \max$ for Discrete Variational Auto-Encoder,Guy Lorberbom · Tommi Jaakkola · Andreea Gane · Tamir Hazan,Deep Learning,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15512,,https://github.com/GuyLor/direct_vae,,East Exhibition Hall B + C,Generative Models
Fast and Provable ADMM for Learning with Generative Priors,Fabian Latorre · Armin eftekhari · Volkan Cevher,Deep Learning,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15512,https://drive.google.com/open?id=1-JiLpwp9iQQwkFOrMtmG6uEI35j9MQaw,,,East Exhibition Hall B + C,Generative Models
Generative Modeling by Estimating Gradients of the Data Distribution,Yang Song · Stefano Ermon,Deep Learning,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15512,https://yang-song.github.io/papers/NeurIPS2019/ncsn-poster.pdf,,,East Exhibition Hall B + C,Generative Models
HYPE: A Benchmark for Human eYe Perceptual Evaluation of Generative Models,Sharon Zhou · Mitchell Gordon · Ranjay Krishna · Austin Narcomey · Li Fei-Fei · Michael Bernstein,Deep Learning,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15512,https://drive.google.com/file/d/1_Rz1oLBd49woRwwX-v3LHgxn9XteEPkP/view?usp=sharing,,,East Exhibition Hall B + C,Generative Models
Implicit Generation and Modeling with Energy Based Models,Yilun Du · Igor Mordatch,Deep Learning,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15512,,,https://sites.google.com/view/igebm,East Exhibition Hall B + C,Generative Models
Invertible Convolutional Flow,Mahdi Karami · Dale Schuurmans · Jascha Sohl-Dickstein · Laurent Dinh · Daniel Duckworth,Deep Learning,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15512,https://drive.google.com/file/d/1dCJ9tPQKfXwonWMFxIpap9VjwhOLkSzr/view?usp=sharing,https://drive.google.com/file/d/17a3bnHk9WO7TGW_Pizm3OsQ2ED_Pz_l-/view?usp=sharing,,East Exhibition Hall B + C,Generative Models
Latent Ordinary Differential Equations for Irregularly-Sampled Time Series,Yulia Rubanova · Tian Qi Chen · David Duvenaud,Deep Learning,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15512,http://www.cs.toronto.edu/~rubanova/pdf/Latent_ODE_poster.pdf,,,East Exhibition Hall B + C,Generative Models
MaCow: Masked Convolutional Generative Flow,Xuezhe Ma · Xiang Kong · Shanghang Zhang · Eduard Hovy,Deep Learning,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15512,https://github.com/XuezheMax/macow,,,East Exhibition Hall B + C,Generative Models
Mining GOLD Samples for Conditional GANs,Sangwoo Mo · Chiheon Kim · Sungwoong  Kim · Minsu Cho · Jinwoo Shin,Deep Learning,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15512,https://drive.google.com/file/d/1FGdjyXa3dReE-fFGvjtnXy8EZB_H0rVh/view?usp=sharing,,,East Exhibition Hall B + C,Generative Models
Learning Non-Convergent Non-Persistent Short-Run MCMC Toward Energy-Based Model,Erik Nijkamp · Mitch Hill · Song-Chun Zhu · Ying Nian Wu,Deep Learning,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15512,https://raw.githubusercontent.com/enijkamp/project_short_run/master/poster.pdf,,,East Exhibition Hall B + C,Generative Models
Residual Flows for Invertible Generative Modeling,Tian Qi Chen · Jens Behrmann · David Duvenaud · Joern-Henrik Jacobsen,Deep Learning,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15512,,http://www.cs.toronto.edu/~rtqichen/pdfs/residual_flows_slides.pdf,http://www.cs.toronto.edu/~rtqichen/posters/residual_flows_poster.pdf,East Exhibition Hall B + C,Generative Models
Time-series Generative Adversarial Networks,Jinsung Yoon · Daniel Jarrett · M Van Der Schaar,Deep Learning,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15512,,https://drive.google.com/drive/folders/1jtqjGGCjbRx1pN7PgQDbMzEKTZgb-HrL?usp=sharing,,East Exhibition Hall B + C,Generative Models
Twin Auxilary Classifiers GAN,Mingming Gong · Yanwu Xu · Chunyuan Li · Kun Zhang · Kayhan Batmanghelich,Deep Learning,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15512,,https://github.com/batmanlab/twin_ac/blob/master/TAC-GAN.pdf,,East Exhibition Hall B + C,Generative Models
Constrained deep neural network architecture search for IoT devices accounting for hardware calibration,Florian Scheidegger · Luca Benini · Costas Bekas · A. Cristiano I. Malossi,Deep Learning,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15514,https://ibm.box.com/v/ConstrainedCNNs,,,East Exhibition Hall B + C,Optimization for Deep Networks
Implicit Regularization of Discrete Gradient Dynamics in Linear Neural Networks,Gauthier Gidel · Francis Bach · Simon Lacoste-Julien,Deep Learning,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15514,https://github.com/GauthierGidel/Implicit-Regularization-of-Discrete-Gradient-Dynamics-in-Linear-Neural-Networks/blob/master/poster/poster.pdf,,,East Exhibition Hall B + C,Optimization for Deep Networks
In-Place Zero-Space Memory Protection for CNN,Hui Guan · Lin Ning · Zhen Lin · Xipeng Shen · Huiyang Zhou · Seung-Hwan Lim,Deep Learning,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15514,https://drive.google.com/file/d/1EAW6aO-LQoLoWA4FjLzsP08Bj3jY69TD/view?usp=sharing,,,East Exhibition Hall B + C,Optimization for Deep Networks
Large Scale Structure of Neural Network Loss Landscapes,Stanislav Fort · Stanislaw Jastrzebski,Deep Learning,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15514,http://stanford.edu/~sfort1/landscape_neurips2019_poster_vertical.pdf,,,East Exhibition Hall B + C,Optimization for Deep Networks
"Learning and Generalization in Overparameterized Neural Networks, Going Beyond Two Layers",Zeyuan Allen-Zhu · Yuanzhi Li · Yingyu Liang,Deep Learning,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15514,,http://pages.cs.wisc.edu/~yliang/three-layer.pdf,,East Exhibition Hall B + C,Optimization for Deep Networks
Limitations of the empirical Fisher approximation for natural gradient descent,Frederik Kunstner · Philipp Hennig · Lukas Balles,Deep Learning,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15514,,,https://www.youtube.com/watch?v=f0jeOi4pW_A,East Exhibition Hall B + C,Optimization for Deep Networks
Maximum Mean Discrepancy Gradient Flow,Michael Arbel · Anna Korba · Adil SALIM · Arthur Gretton,Deep Learning,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15514,https://michaelarbel.github.io/materials/poster_MMD_flow.pdf,,https://michaelarbel.github.io/materials/MMD_flow.mp4,East Exhibition Hall B + C,Optimization for Deep Networks
On Lazy Training in Differentiable Programming,Lénaïc Chizat · Edouard Oyallon · Francis Bach,Deep Learning,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15514,https://lchizat.github.io/files/posters/lazy2019poster.pdf,,,East Exhibition Hall B + C,Optimization for Deep Networks
Reducing the variance in online optimization by transporting past gradients,Sébastien Arnold · Pierre-Antoine Manzagol · Reza Babanezhad Harikandeh · Ioannis Mitliagkas · Nicolas Le Roux,Deep Learning,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15514,http://seba1511.net/projects/igt/,http://seba1511.net/projects/igt/igt_neurips19_slides.pdf,,East Exhibition Hall B + C,Optimization for Deep Networks
Tight Sample Complexity of Learning One-hidden-layer Convolutional Neural Networks,Yuan Cao · Quanquan Gu,Deep Learning,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15514,https://drive.google.com/drive/folders/17a50TvpGUePNNxtjOR84Y0DyTp4x_We5?usp=sharing,,,East Exhibition Hall B + C,Optimization for Deep Networks
Understanding and Improving Layer Normalization,Jingjing Xu · Xu Sun · Zhiyuan Zhang · Guangxiang Zhao · Junyang Lin,Deep Learning,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15514,https://github.com/lancopku/AdaNorm,,,East Exhibition Hall B + C,Optimization for Deep Networks
LCA: Loss Change Allocation for Neural Network Training,Janice Lan · Rosanne Liu · Hattie Zhou · Jason Yosinski,Deep Learning,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15514,https://www.dropbox.com/sh/sanqhku7s4wq8cx/AACAvlfQUd1r5MbNe_vAqZ7sa?dl=0,,,East Exhibition Hall B + C,Optimization for Deep Networks
A Communication Efficient Stochastic Multi-Block Alternating Direction Method of Multipliers,Hao Yu,Optimization,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15535,https://eeyuhao.github.io/conference/nips2019poster.pdf,,,East Exhibition Hall B + C,Convex Optimization
A First-Order Algorithmic Framework for Distributionally Robust Logistic Regression,JIAJIN LI · SEN HUANG · Anthony Man-Cho So,Optimization,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15535,https://drive.google.com/file/d/1hXACTfadyGiP6XdQew881u4p5uD6Fka4/view?usp=sharing,,,East Exhibition Hall B + C,Convex Optimization
Acceleration via Symplectic Discretization of High-Resolution Differential Equations,Bin Shi · Simon Du · Weijie Su · Michael Jordan,Optimization,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15535,,https://www.dropbox.com/s/2lvsidjj9q8army/presentation_1.pdf?dl=0,,East Exhibition Hall B + C,Convex Optimization
An Accelerated Decentralized Stochastic Proximal Algorithm for Finite Sums,Hadrien Hendrikx · Francis Bach · Laurent Massoulié,Optimization,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15535,https://github.com/HadrienHx/ADFS_NeurIPS/blob/master/poster_ADFS.pdf,,,East Exhibition Hall B + C,Convex Optimization
An adaptive Mirror-Prox method for variational inequalities with singular operators,Kimon Antonakopoulos · Veronica Belmega · Panayotis Mertikopoulos,Optimization,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15535,https://www.dropbox.com/s/9dq9550ulkc7tt3/Main.pdf?dl=0,,,East Exhibition Hall B + C,Convex Optimization
Blended Matching Pursuit,Cyrille Combettes · Sebastian Pokutta,Optimization,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15535,,https://cyrillewcombettes.github.io/bmp_slides.pdf,,East Exhibition Hall B + C,Convex Optimization
Communication-Efficient Distributed Learning via Lazily Aggregated Quantized Gradients,Jun Sun · Tianyi Chen · Georgios Giannakis · Zaiyue  Yang,Optimization,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15535,,https://www.dropbox.com/s/kfq9rkmfiv1djkk/LAQ%40neurips.pdf?dl=0,,East Exhibition Hall B + C,Convex Optimization
Complexity of Highly Parallel Non-Smooth Convex Optimization,Sebastien Bubeck · Qijia Jiang · Yin-Tat Lee · Yuanzhi Li · Aaron Sidford,Optimization,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15535,,http://www.aaronsidford.com/ref/BJLLS2019_NeurIPS_slides.pdf,,East Exhibition Hall B + C,Convex Optimization
Efficient Symmetric Norm Regression via Linear Sketching,Zhao Song · Ruosong Wang · Lin Yang · Hongyang Zhang · Peilin Zhong,Optimization,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15535,http://www.cs.cmu.edu/~ruosongw/poster_orlicz.pdf,,,East Exhibition Hall B + C,Convex Optimization
General Proximal Incremental Aggregated Gradient Algorithms: Better and Novel Results under General Scheme,Tao Sun · Yuejiao Sun · Dongsheng Li · Qing Liao,Optimization,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15535,https://github.com/blindmanGG/neurips2019poster,,,East Exhibition Hall B + C,Convex Optimization
Interior-Point Methods Strike Back: Solving the Wasserstein Barycenter Problem,DongDong Ge · Haoyue Wang · Zikai Xiong · Yinyu  Ye,Optimization,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15535,,https://gitlab.com/ZXiong/wasserstein-barycenter/blob/master/The%20slides/barycenter_slides.pdf,,East Exhibition Hall B + C,Convex Optimization
Necessary and Sufficient Geometries for Gradient Methods,Daniel Levy · John Duchi,Optimization,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15535,http://ai.stanford.edu/~danilevy/pdf/LevyDu19dawnretreat.pdf,,,East Exhibition Hall B + C,Convex Optimization
On the Curved Geometry of Accelerated Optimization,Aaron Defazio,Optimization,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15535,https://www.aarondefazio.com/curved_geom_poster.pdf,,,East Exhibition Hall B + C,Convex Optimization
Sinkhorn Barycenters with Free Support via Frank-Wolfe Algorithm,Giulia Luise · Saverio Salzo · Massimiliano Pontil · Carlo Ciliberto,Optimization,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15535,,https://giulslu.github.io/Sinkhorn-Barycenters/slides/sinkhorn-barycenters-via-frank-wolfe.pdf,,East Exhibition Hall B + C,Convex Optimization
Tight Dimension Independent Lower Bound on the Expected Convergence Rate for Diminishing Step Sizes in SGD,PHUONG_HA NGUYEN · Lam Nguyen · Marten van Dijk,Optimization,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15535,https://drive.google.com/file/d/16-1vGnbxycM5Wz_HFySa2jT1osR1Qrw1/view,https://drive.google.com/file/d/1AKJR9ef5TZgX4uQUbGqVvm0gsdRGehAj/view,https://drive.google.com/file/d/18st_NJYsYWUimP3HhM1UW-LTALupQ-ms/view?usp=sharing,East Exhibition Hall B + C,Convex Optimization
Trajectory of Alternating Direction Method of Multipliers and Adaptive Acceleration,Clarice Poon · Jingwei Liang,Optimization,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15535,,https://jliang993.github.io/files/slides/admm_neurips19.pdf,,East Exhibition Hall B + C,Convex Optimization
Asymmetric Valleys: Beyond Sharp and Flat Local Minima,Haowei He · Gao Huang · Yang Yuan,Optimization,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15536,,https://github.com/962086838/code-for-Asymmetric-Valley/blob/master/asymmetric_ppt.pdf,https://youtu.be/zWwaJ3gbv_Q,East Exhibition Hall B + C,Non-Convex Optimization
Beyond Alternating Updates for Matrix Factorization with Inertial Bregman Proximal Gradient Algorithms,Mahesh Chandra Mukkamala · Peter Ochs,Optimization,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15536,,https://www.dropbox.com/s/73m7i1zp4oemode/neurips_slides.pdf?dl=0,,East Exhibition Hall B + C,Non-Convex Optimization
Efficiently escaping saddle points on manifolds,Christopher Criscitiello · Nicolas Boumal,Optimization,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15536,http://www.nicolasboumal.net/papers/NeurIPS2019_PRGD_poster.pdf,,,East Exhibition Hall B + C,Non-Convex Optimization
Global Convergence of Least Squares EM for Demixing Two Log-Concave Densities,Wei Qian · Yuqian Zhang · Yudong Chen,Optimization,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15536,https://github.com/weiiew28/Least-Squares-EM,,,East Exhibition Hall B + C,Non-Convex Optimization
Learning dynamic polynomial proofs,Alhussein Fawzi · Mateusz Malinowski · Hamza Fawzi · Omar Fawzi,Optimization,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15536,https://drive.google.com/open?id=1aumoMfbnyZ-YCX739kCUTbH0y0dwkuDK,,,East Exhibition Hall B + C,Non-Convex Optimization
Non-asymptotic Analysis of Stochastic Methods for Non-Smooth Non-Convex Regularized Problems,Yi Xu · Rong Jin · Tianbao Yang,Optimization,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15536,https://github.com/yxu71/NCNS-regularizer/blob/master/neurips_2019_SPG-poster.pdf,,,East Exhibition Hall B + C,Non-Convex Optimization
Nonconvex Low-Rank Tensor Completion from Noisy Data,Changxiao Cai · Gen Li · H. Vincent Poor · Yuxin Chen,Optimization,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15536,https://www.dropbox.com/s/8c5692alqgo1q6d/poster.pdf?dl=0,,,East Exhibition Hall B + C,Non-Convex Optimization
"Painless Stochastic Gradient: Interpolation, Line-Search, and Convergence Rates",Sharan Vaswani · Aaron Mishkin · Issam Laradji · Mark Schmidt · Gauthier Gidel · Simon Lacoste-Julien,Optimization,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15536,https://github.com/IssamLaradji/sls/tree/master/Poster,,https://github.com/IssamLaradji/sls/tree/master/Video,East Exhibition Hall B + C,Non-Convex Optimization
SpiderBoost and Momentum: Faster Variance Reduction Algorithms,Zhe Wang · Kaiyi Ji · Yi Zhou · Yingbin Liang · Vahid Tarokh,Optimization,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15536,https://www.dropbox.com/sh/zwg6314ite6m7us/AADso9RTID9bxlUVFpjCkFJja?dl=0,,,East Exhibition Hall B + C,Non-Convex Optimization
SSRGD: Simple Stochastic Recursive Gradient Descent for Escaping Saddle Points,Zhize Li,Optimization,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15536,https://zhizeli.github.io/files/ssrgd_poster.pdf,,,East Exhibition Hall B + C,Non-Convex Optimization
The Landscape of Non-convex Empirical Risk with Degenerate Population Risk,Shuang Li · Gongguo Tang · Michael B Wakin,Optimization,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15536,http://inside.mines.edu/~mwakin/posters/NeurIPS19-Landscape.pdf,,,East Exhibition Hall B + C,Non-Convex Optimization
Who is Afraid of Big Bad Minima? Analysis of gradient-flow in spiked matrix-tensor models,Stefano Sarao Mannelli · Giulio Biroli · Chiara Cammarota · Florent Krzakala · Lenka Zdeborová,Optimization,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15536,,https://www.slideshare.net/StefanoSarao2/who-is-afraid-of-big-bad-minima,,East Exhibition Hall B + C,Non-Convex Optimization
Double Quantization for Communication-Efficient Distributed Optimization,Yue Yu · Jiaxiang Wu · Longbo Huang,Optimization,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15537,https://www.dropbox.com/s/ajztvinij878ki8/DQ-poster.pdf?dl=0,,,East Exhibition Hall B + C,Stochastic Optimization
Optimal Decision Tree with Noisy Outcomes,Su Jia · viswanath  nagarajan · Fatemeh Navidi · R Ravi,Optimization,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15537,https://www.contrib.andrew.cmu.edu/~ravi/neurips19poster.pdf,,,East Exhibition Hall B + C,Stochastic Optimization
Optimal Statistical Rates for Decentralised Non-Parametric Regression with Linear Speed-Up,Dominic Richards · Patrick Rebeschini,Optimization,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15537,http://www.stats.ox.ac.uk/~rebeschi/pdf/neurips_2019_poster.pdf,,,East Exhibition Hall B + C,Stochastic Optimization
RSN: Randomized Subspace Newton,Robert Gower · Dmitry Koralev · Felix Lieder · Peter Richtarik,Optimization,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15537,https://gowerrobert.github.io/,,,East Exhibition Hall B + C,Stochastic Optimization
Towards closing the gap between the theory and practice of SVRG,Othmane Sebbouh · Nidham Gazagnadou · Samy Jelassi · Francis Bach · Robert Gower,Optimization,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15537,https://gowerrobert.github.io/pdf/posters/svrg_poster_neurips.pdf,,,East Exhibition Hall B + C,Stochastic Optimization
"UniXGrad: A Universal, Adaptive Algorithm with Optimal Guarantees for Constrained Optimization",Ali Kavis · Kfir Y. Levy · Francis Bach · Volkan Cevher,Optimization,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15537,,https://drive.google.com/file/d/1CS4iwSmk-sQxROGkTe2XznO07eBek6d-/view?usp=sharing,,East Exhibition Hall B + C,Stochastic Optimization
Identifying Causal Effects via Context-specific Independence Relations,Santtu Tikka · Antti Hyttinen · Juha Karvanen,Probabilistic Methods,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15519,http://users.jyu.fi/~santikka/neurips2019/tikka_hyttinen_karvanen_poster.pdf,,,East Exhibition Hall B + C,Causal Inference
Integrating Markov processes with structural causal modeling enables counterfactual inference in complex systems,Robert Ness · Kaushal Paneri · Olga Vitek,Probabilistic Methods,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15519,http://bit.ly/MarkovP2SCM,http://bit.ly/MarkovP2SCM,http://bit.ly/MarkovP2SCM,East Exhibition Hall B + C,Causal Inference
Near-Optimal Reinforcement Learning in Dynamic Treatment Regimes,Junzhe Zhang · Elias Bareinboim,Probabilistic Methods,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15519,https://www.dropbox.com/s/csmlqqlxj2lngag/poster.pdf?dl=0,,,East Exhibition Hall B + C,Causal Inference
Policy Evaluation with Latent Confounders via Optimal Balance,Andrew Bennett · Nathan Kallus,Probabilistic Methods,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15519,,https://raw.githubusercontent.com/CausalML/LatentConfounderBalancing/master/slides.pdf,,East Exhibition Hall B + C,Causal Inference
Sample Efficient Active Learning of Causal Trees,Kristjan Greenewald · Dmitriy Katz · Karthikeyan Shanmugam · Sara Magliacane · Murat Kocaoglu · Enric Boix Adsera · Guy Bresler,Probabilistic Methods,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15519,https://ibm.box.com/v/sampleEfficientActiveCausal,,,East Exhibition Hall B + C,Causal Inference
Selecting causal brain features with a single conditional independence test per feature,Atalanti Mastakouri · Bernhard Schölkopf · Dominik Janzing,Probabilistic Methods,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15519,https://owncloud.tuebingen.mpg.de/index.php/s/kyBCCXPHycy9bDS,,,East Exhibition Hall B + C,Causal Inference
Specific and Shared Causal Relation Modeling and Mechanism-Based Clustering,Biwei Huang · Kun Zhang · Pengtao Xie · Mingming Gong · Eric Xing · Clark Glymour,Probabilistic Methods,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15519,https://www.dropbox.com/s/1l4ck9i7leutvzv/SSCM_NeurIPS.pdf?dl=0,,,East Exhibition Hall B + C,Causal Inference
The Case for Evaluating Causal Models Using Interventional Measures and Empirical Data,Amanda Gentzel · Dan Garant · David Jensen,Probabilistic Methods,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15519,https://agentzel.github.io/publications/Evaluation%20poster%20NeurIPS.pdf,,https://agentzel.github.io/publications/neurips-2019-video.m4v,East Exhibition Hall B + C,Causal Inference
Triad Constraints for Learning Causal Structure of Latent Variables,Ruichu Cai · Feng Xie · Clark Glymour · Zhifeng Hao · Kun Zhang,Probabilistic Methods,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15519,https://drive.google.com/open?id=1Q8uHVFMsnSmdZlmzSUal_ofVBFBd7Tvb,,,East Exhibition Hall B + C,Causal Inference
Using Embeddings to Correct for Unobserved Confounding in Networks,Victor Veitch · Yixin Wang · David Blei,Probabilistic Methods,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15519,github.com/vveitch/causal-network-embeddings/blob/master/poster/poster.pdf,,,East Exhibition Hall B + C,Causal Inference
Robust Multi-agent Counterfactual Prediction,Alexander Peysakhovich · Christian Kroer · Adam Lerer,Probabilistic Methods,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15538,http://alexpeys.github.io/rmacposter.pdf,,,East Exhibition Hall B + C,Distributed Inference
Statistical Model Aggregation via Parameter Matching,Mikhail Yurochkin · Mayank Agarwal · Soumya Ghosh · Kristjan Greenewald · Nghia Hoang,Probabilistic Methods,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15538,http://soumyaghosh.com/publications/presentations/SPAHM2019.pdf,,,East Exhibition Hall B + C,Distributed Inference
Implicit Posterior Variational Inference for Deep Gaussian Processes,Haibin YU · Yizhou Chen · Bryan Kian Hsiang Low · Patrick Jaillet · Zhongxiang Dai,Probabilistic Methods,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15539,,https://github.com/HeroKillerEver/ipvi-dgp/blob/master/slides/neurips_slides.pdf,,East Exhibition Hall B + C,Gaussian Processes
Multivariate Sparse Coding of Nonstationary Covariances with Gaussian Processes,Rui Li,Probabilistic Methods,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15539,https://drive.google.com/file/d/1JsKgS33YLf2nsTToe9pTboBmReenjeIf/view?usp=sharing,,,East Exhibition Hall B + C,Gaussian Processes
Nonparametric Regressive Point Processes Based on Conditional Gaussian Processes,Siqi Liu · Milos Hauskrecht,Probabilistic Methods,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15539,http://people.cs.pitt.edu/~siqiliu/res/neurips2019/poster.pdf,,,East Exhibition Hall B + C,Gaussian Processes
Offline Contextual Bayesian Optimization,Ian Char · Youngseog Chung · Willie Neiswanger · Kirthevasan Kandasamy · Oak Nelson · Mark Boyer ·  Egemen Kolemen · Jeff Schneider,Probabilistic Methods,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15539,https://github.com/fusion-ml/OCBO/blob/master/ocbo_poster.pdf,,,East Exhibition Hall B + C,Gaussian Processes
Scalable Bayesian dynamic covariance modeling with variational Wishart and inverse Wishart processes,Creighton Heaukulani · Mark van der Wilk,Probabilistic Methods,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15539,https://github.com/ckheaukulani/swpr/blob/master/poster.pdf,,,East Exhibition Hall B + C,Gaussian Processes
Spatially Aggregated Gaussian Processes with Multivariate Areal Outputs,Yusuke Tanaka · Toshiyuki Tanaka · Tomoharu Iwata · Takeshi Kurashima · Maya Okawa · Yasunori Akagi · Hiroyuki Toda,Probabilistic Methods,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15539,https://drive.google.com/open?id=12z0RTA3sDL_RoC8a09d06bwsCptGv7DR,,,East Exhibition Hall B + C,Gaussian Processes
Uniform Error Bounds for Gaussian Process Regression with Application to Safe Control,Armin Lederer · Jonas Umlauft · Sandra Hirche,Probabilistic Methods,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15539,https://mediatum.ub.tum.de/doc/1521855/1521855.pdf,,,East Exhibition Hall B + C,Gaussian Processes
Learning Hierarchical Priors in VAEs,Alexej Klushyn · Nutan Chen · Richard Kurle · Botond Cseke · Patrick van der Smagt,Probabilistic Methods,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15540,https://github.com/AKlushyn/NeurIPS,,,East Exhibition Hall B + C,Hierarchical Models
Poisson-Randomized Gamma Dynamical Systems,Aaron Schein · Scott Linderman · Mingyuan Zhou · David Blei · Hanna Wallach,Probabilistic Methods,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15540,http://www.columbia.edu/~as5530/ScheinLindermanZhouBleiWallach2019_summary.pdf,,,East Exhibition Hall B + C,Hierarchical Models
Efficient Probabilistic Inference in the Quest for Physics Beyond the Standard Model,Atilim Gunes Baydin · Lei Shao · Wahid Bhimji · Lukas Heinrich · Saeid Naderiparizi · Andreas Munk · Jialin Liu · Bradley Gram-Hansen · Gilles Louppe · Lawrence Meadows · Philip Torr · Victor Lee · Kyle Cranmer · Mr. Prabhat · Frank Wood,Probabilistic Methods,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15541,,http://www.robots.ox.ac.uk/~gunes/assets/pdf/baydin-2019-neurips-slides.pdf,,East Exhibition Hall B + C,MCMC
Online sampling from log-concave distributions,Holden Lee · Oren Mangoubi · Nisheeth Vishnoi,Probabilistic Methods,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15541,,tiny.cc/lmv19slides,,East Exhibition Hall B + C,MCMC
Parameter elimination in particle Gibbs sampling,Anna Wigren · Riccardo Sven Risuleo · Lawrence Murray · Fredrik Lindsten,Probabilistic Methods,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15541,https://www.it.uu.se/katalog/annwi999/Publications/Neurips2019,,https://www.it.uu.se/katalog/annwi999/Publications/Neurips2019,East Exhibition Hall B + C,MCMC
Poisson-Minibatching for Gibbs Sampling with Convergence Rate Guarantees,Ruqi Zhang · Christopher De Sa,Probabilistic Methods,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15541,https://drive.google.com/open?id=1SvASsf9E3u2mdcco-58QCZYB1-XLcVZj,,,East Exhibition Hall B + C,MCMC
Pseudo-Extended Markov chain Monte Carlo,Christopher Nemeth · Fredrik Lindsten · Maurizio Filippone · James Hensman,Probabilistic Methods,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15541,https://github.com/chris-nemeth/pseudo-extended-mcmc-code/blob/master/poster.pdf,,,East Exhibition Hall B + C,MCMC
Stochastic Gradient Hamiltonian Monte Carlo Methods with Recursive Variance Reduction,Difan Zou · Pan Xu · Quanquan Gu,Probabilistic Methods,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15541,https://sites.google.com/view/difan-zou/poster2?authuser=0,,,East Exhibition Hall B + C,MCMC
Stochastic Proximal Langevin Algorithm: Potential Splitting and Nonasymptotic Rates,Adil SALIM · Dmitry Koralev · Peter Richtarik,Probabilistic Methods,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15541,https://adil-salim.github.io/Research/poster-langevin19.pdf,,,East Exhibition Hall B + C,MCMC
Stochastic Runge-Kutta Accelerates Langevin Monte Carlo and Beyond,Xuechen Li · Yi Wu · Lester Mackey · Murat Erdogdu,Probabilistic Methods,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15541,,https://docs.google.com/presentation/d/1DSFKht31v7Xe6uZHDgMTX7iwFPSJzeFo1Xj93eNOKVI/edit?usp=sharing,,East Exhibition Hall B + C,MCMC
The Randomized Midpoint Method for Log-Concave Sampling,Ruoqi Shen · Yin Tat Lee,Probabilistic Methods,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15541,,https://drive.google.com/drive/folders/1Fv4HCeMkccdUIvtB6oWn-TcPdgmp6S1t?usp=sharing,,East Exhibition Hall B + C,MCMC
Approximate Inference Turns Deep Networks into Gaussian Processes,Mohammad Emtiyaz Khan · Alexander Immer · Ehsan Abedi · Maciej Korzepa,Probabilistic Methods,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15542,https://github.com/team-approx-bayes/neurips2019_poster.pdf,,,East Exhibition Hall B + C,Variational Inference
Copula-like Variational Inference,Marcel Hirt · Petros Dellaportas · Alain Durmus,Probabilistic Methods,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15542,https://github.com/marcelah/copula-like-vi/blob/master/neurips_poster.pdf,,,East Exhibition Hall B + C,Variational Inference
Divide and Couple: Using Monte Carlo Variational Objectives for Posterior Approximation,Justin Domke · Daniel Sheldon,Probabilistic Methods,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15542,https://people.cs.umass.edu/~domke/papers/2019neurips2_poster.pdf,,,East Exhibition Hall B + C,Variational Inference
Importance Weighted Hierarchical Variational Inference,Artem Sobolev · Dmitry Vetrov,Probabilistic Methods,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15542,https://drive.google.com/file/d/1jFPgL8Qe8zvD2TvV2fWa769eYSZBH0IK/view?usp=sharing,https://slides.com/asobolev/importance-weighted-hierarchical-variational-inference-4,,East Exhibition Hall B + C,Variational Inference
Practical Deep Learning with Bayesian Principles,Kazuki Osawa · Siddharth Swaroop · Mohammad Emtiyaz Khan · Anirudh Jain · Runa Eschenhagen · Richard E Turner · Rio Yokota,Probabilistic Methods,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15542,https://github.com/team-approx-bayes/dl-with-bayes/neurips2019_poster.pdf,,,East Exhibition Hall B + C,Variational Inference
Scalable Structure Learning of Continuous-Time Bayesian Networks from Incomplete Data,Dominik Linzner · Michael Schmidt · Heinz Koeppl,Probabilistic Methods,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15542,https://git.rwth-aachen.de/bcs/ssl-ctbn-poster,,,East Exhibition Hall B + C,Variational Inference
Universal Boosting Variational Inference,Trevor Campbell · Xinglong Li,Probabilistic Methods,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15542,https://drive.google.com/file/d/11EIN8-WtsuyBUu9KxH2FDJ3utFdst75c,,,East Exhibition Hall B + C,Variational Inference
Variational Bayes under Model Misspecification,Yixin Wang · David Blei,Probabilistic Methods,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15542,,https://github.com/yixinwang/vbmisspec-public,,East Exhibition Hall B + C,Variational Inference
Variational Bayesian Decision-making for Continuous Utilities,Tomasz Kuśmierczyk · Joseph Sakaya · Arto Klami,Probabilistic Methods,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15542,https://github.com/tkusmierczyk/lcvi/raw/master/poster.pdf,,,East Exhibition Hall B + C,Variational Inference
Variational Bayesian Optimal Experimental Design,Adam Foster · Martin Jankowiak · Elias Bingham · Paul Horsfall · Yee Whye Teh · Thomas Rainforth · Noah Goodman,Probabilistic Methods,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15542,https://github.com/twgr/variational_oed/blob/master/poster/poster.pdf,,,East Exhibition Hall B + C,Variational Inference
Causal Confusion in Imitation Learning,Pim de Haan · Dinesh Jayaraman · Sergey Levine,Reinforcement Learning and Planning,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15520,,https://sites.google.com/view/causal-confusion,https://sites.google.com/view/causal-confusion,East Exhibition Hall B + C,Decision and Control
Hierarchical Decision Making by Generating and Following Natural Language Instructions,Hengyuan Hu · Denis Yarats · Qucheng Gong · Yuandong Tian · Mike Lewis,Reinforcement Learning and Planning,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15520,https://drive.google.com/file/d/1CqBXP-fXdx4G5k5vLQNvyzCzGyzjGUJe/view?usp=sharing,,,East Exhibition Hall B + C,Decision and Control
Non-Cooperative Inverse Reinforcement Learning,Xiangyuan Zhang · Kaiqing Zhang · Erik Miehling · Tamer Basar,Reinforcement Learning and Planning,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15520,,https://drive.google.com/open?id=11r3cG6IpHinJb1wkG8vlyaaYR1xDGrYC,,East Exhibition Hall B + C,Decision and Control
Robust exploration in linear quadratic reinforcement learning ,Jack Umenberger · Mina Ferizbegovic · Thomas Schön · Håkan Hjalmarsson,Reinforcement Learning and Planning,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15520,http://user.it.uu.se/~jacum349/pdfs/poster_l4dc19.pdf,,,East Exhibition Hall B + C,Decision and Control
Almost Horizon-Free Structure-Aware Best Policy Identification with a Generative Model,Andrea Zanette · Mykel J Kochenderfer · Emma Brunskill,Reinforcement Learning and Planning,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15521,https://drive.google.com/drive/folders/1KxCiZpZz7U6hDBK_iH5cZxtIwJDLsj-p?usp=sharing,,,East Exhibition Hall B + C,Exploration
Better Exploration with Optimistic Actor Critic,Kamil Ciosek · Quan Vuong · Robert Loftin · Katja Hofmann,Reinforcement Learning and Planning,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15521,,https://github.com/kciosek/oac-slides/raw/master/oac-slides.pdf,,East Exhibition Hall B + C,Exploration
Provably Efficient Q-learning with Function Approximation via Distribution Shift Error Checking Oracle,Simon Du · Yuping Luo · Ruosong Wang · Hanrui Zhang,Reinforcement Learning and Planning,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15521,http://www.cs.cmu.edu/~ruosongw/poster_linear_q.pdf,,,East Exhibition Hall B + C,Exploration
Explicit Planning for Efficient Exploration in Reinforcement Learning,Liangpeng Zhang · Ke Tang · Xin Yao,Reinforcement Learning and Planning,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15521,https://lpzhang-uob.github.io/NeurIPS_2019_poster.pdf,,,East Exhibition Hall B + C,Exploration
Exploration Bonus for Regret Minimization in Discrete and Continuous Average Reward MDPs,Jian QIAN · Ronan Fruit · Matteo Pirotta · Alessandro Lazaric,Reinforcement Learning and Planning,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15521,http://teopir.github.io/files/2019/neurips2019_expbonus.pdf,,,East Exhibition Hall B + C,Exploration
Information-Theoretic Confidence Bounds for Reinforcement Learning,Xiuyuan Lu · Benjamin Van Roy,Reinforcement Learning and Planning,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15521,,https://drive.google.com/file/d/1ekMra8sMVd3d0WmyMTq9T54tfLL_dXFk/view?usp=sharing,,East Exhibition Hall B + C,Exploration
Worst-Case Regret Bounds for Exploration via Randomized Value Functions,Daniel Russo,Reinforcement Learning and Planning,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15521,,https://drive.google.com/open?id=1fdb8HA1ewSJoRYdwisChKad3gza9cVj0,,East Exhibition Hall B + C,Exploration
Beyond Confidence Regions: Tight Bayesian Ambiguity Sets for Robust MDPs,Marek Petrik · Reazul Hasan Russel,Reinforcement Learning and Planning,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15543,https://cs.unh.edu/~mpetrik/pub/nips2019_presentation.pdf,,,East Exhibition Hall B + C,Model-Based RL
Correlation Priors for Reinforcement Learning,Bastian Alt · Adrian Šošić · Heinz Koeppl,Reinforcement Learning and Planning,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15543,https://git.rwth-aachen.de/bcs/correlation_priors_for_rl_poster,,,East Exhibition Hall B + C,Model-Based RL
Explicit Explore-Exploit Algorithms in Continuous State Spaces,Mikael Henaff,Reinforcement Learning and Planning,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15543,http://mikaelhenaff.com/files/neurips2019_e3_poster.pdf,,,East Exhibition Hall B + C,Model-Based RL
Learning to Predict Without Looking Ahead: World Models Without Forward Prediction,Daniel Freeman · David Ha · Luke Metz,Reinforcement Learning and Planning,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15543,https://learningtopredict.github.io/slides/neurips2019_poster.pdf,,,East Exhibition Hall B + C,Model-Based RL
Mapping State Space using Landmarks for Universal Goal Reaching,Zhiao Huang · Hao Su · Fangchen Liu,Reinforcement Learning and Planning,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15543,https://drive.google.com/file/d/1d76-Tq0Y0ZNeLm4JATw0F_29COn5ibvg/view?usp=sharing,,,East Exhibition Hall B + C,Model-Based RL
Regularizing Trajectory Optimization with Denoising Autoencoders,Rinu Boney · Norman Di Palo · Mathias Berglund · Alexander Ilin · Juho Kannala · Antti Rasmus · Harri Valpola,Reinforcement Learning and Planning,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15543,https://drive.google.com/file/d/1Ad1EO6QXSJXwVzhfHNZ7fGrcRw8XXHPd/view?usp=sharing,,,East Exhibition Hall B + C,Model-Based RL
Tight Regret Bounds for Model-Based Reinforcement Learning with Greedy Policies,Yonathan Efroni · Nadav Merlis · Mohammad Ghavamzadeh · Shie Mannor,Reinforcement Learning and Planning,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15543,https://www.dropbox.com/s/7ort0shbowwv8dv/Poster.pptx?dl=0,,,East Exhibition Hall B + C,Model-Based RL
When to Trust Your Model: Model-Based Policy Optimization,Michael Janner · Justin Fu · Marvin Zhang · Sergey Levine,Reinforcement Learning and Planning,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15543,https://people.eecs.berkeley.edu/~janner/mbpo/mbpo_poster_neurips_2019.pdf,https://people.eecs.berkeley.edu/~janner/mbpo/mbpo_slides_neurips_2019.pdf,https://people.eecs.berkeley.edu/~janner/mbpo/,East Exhibition Hall B + C,Model-Based RL
When to use parametric models in reinforcement learning?,Hado van Hasselt · Matteo Hessel · John Aslanides,Reinforcement Learning and Planning,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15543,,https://hadovanhasselt.files.wordpress.com/2019/10/mbrl-neurips.pdf,,East Exhibition Hall B + C,Model-Based RL
A Structured Prediction Approach for Generalization in Cooperative Multi-Agent Reinforcement Learning,Nicolas Carion · Nicolas Usunier · Gabriel Synnaeve · Alessandro Lazaric,Reinforcement Learning and Planning,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15544,https://drive.google.com/file/d/1p7_4h78k-8pbbf6csDs3KYSrqkGZUvBP/view?usp=sharing,,,East Exhibition Hall B + C,Multi-Agent RL
Efficient Communication in Multi-Agent Reinforcement Learning via Variance Based Control,Sai Qian Zhang · Qi  Zhang · Jieyu Lin,Reinforcement Learning and Planning,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15544,https://github.com/saizhang0218/VBC/blob/master/NIPS2019_Poster.pdf,,,East Exhibition Hall B + C,Multi-Agent RL
Learning Mean-Field Games,Xin Guo · Anran Hu · Renyuan Xu · Junzi Zhang,Reinforcement Learning and Planning,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15544,,https://github.com/AnranHu/LMFG_slides/blob/master/LMFG-talk-informs.pdf,,East Exhibition Hall B + C,Multi-Agent RL
Learning to Control Self-Assembling Morphologies: A Study of Generalization via Modularity,Deepak Pathak · Christopher Lu · Trevor Darrell · Phillip Isola · Alexei Efros,Reinforcement Learning and Planning,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15544,,,,East Exhibition Hall B + C,Multi-Agent RL
LIIR: Learning Individual Intrinsic Reward in Multi-Agent Reinforcement Learning,Yali Du · Lei Han · Meng Fang · Ji Liu · Tianhong Dai · Dacheng Tao,Reinforcement Learning and Planning,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15544,,https://drive.google.com/drive/folders/1j3gP0S1_wquSizbS2VsDihXWfVnpxY0l?usp=sharing,,East Exhibition Hall B + C,Multi-Agent RL
On the Utility of Learning about Humans for Human-AI Coordination,Micah Carroll · Rohin Shah · Mark Ho · Tom Griffiths · Sanjit Seshia · Pieter Abbeel · Anca Dragan,Reinforcement Learning and Planning,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15544,https://drive.google.com/file/d/1y4CghZjgLu5K57Gq5P0ZXz4jQScY7Mb2/view?usp=sharing,https://drive.google.com/file/d/1RwkXWwPksOR75dGrAwSBSVLMEnAvk0jE/view?usp=sharing,https://drive.google.com/file/d/13XjCGQ-suZGQOmCZQNbSiL1rMfExnKGj/view?usp=sharing,East Exhibition Hall B + C,Multi-Agent RL
 Value Propagation for Decentralized Networked Deep Multi-agent  Reinforcement Learning,Chao Qu · Shie Mannor · Huan Xu · Yuan Qi · Le Song · Junwu Xiong,Reinforcement Learning and Planning,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15544,,https://drive.google.com/drive/folders/1-KtJI-HNuXLw1EYtFn43TFMMWfI3K32U?usp=sharing,,East Exhibition Hall B + C,Multi-Agent RL
Convergent Policy Optimization for Safe Reinforcement Learning,Ming Yu · Zhuoran Yang · Mladen Kolar · Zhaoran Wang,Reinforcement Learning and Planning,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15545,https://github.com/ming93/Safe_reinforcement_learning/blob/master/poster.pdf,,,East Exhibition Hall B + C,Reinforcement Learning
Experience Replay for Continual Learning,David Rolnick · Arun Ahuja · Jonathan Schwarz · Timothy Lillicrap · Gregory Wayne,Reinforcement Learning and Planning,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15545,,https://drive.google.com/open?id=1veH3UcO_OA4ijoosmOCjCL9ITZhlSIjT,,East Exhibition Hall B + C,Reinforcement Learning
Exploration via Hindsight Goal Generation,Zhizhou Ren · Kefan Dong · Yuan Zhou · Qiang Liu · Jian Peng,Reinforcement Learning and Planning,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15545,,https://github.com/Stilwell-Git/Hindsight-Goal-Generation/blob/master/slides.pdf,,East Exhibition Hall B + C,Reinforcement Learning
Hindsight Credit Assignment,Anna Harutyunyan · Will Dabney · Thomas Mesnard · Mohammad Gheshlaghi Azar · Bilal Piot · Nicolas Heess · Hado van Hasselt · Gregory Wayne · Satinder Singh · Doina Precup · Remi Munos,Reinforcement Learning and Planning,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15545,,,https://youtu.be/2EnckznIV2o,East Exhibition Hall B + C,Reinforcement Learning
Imitation Learning from Observations by Minimizing Inverse Dynamics Disagreement,Chao Yang · Xiaojian Ma · Wenbing Huang · Fuchun Sun · Huaping Liu · Junzhou Huang · Chuang Gan,Reinforcement Learning and Planning,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15545,https://sites.google.com/view/neurips19-iddm/home,https://sites.google.com/view/neurips19-iddm/home,https://sites.google.com/view/neurips19-iddm/home,East Exhibition Hall B + C,Reinforcement Learning
Importance Resampling for Off-policy Prediction,Matthew Schlegel · Wesley Chung · Daniel Graves · Jian Qian · Martha White,Reinforcement Learning and Planning,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15545,https://github.com/mkschleg/Resampling.jl/blob/gh-pages/resources/poster.pdf,https://github.com/mkschleg/Resampling.jl/blob/gh-pages/resources/IR_neurips2019.pdf,,East Exhibition Hall B + C,Reinforcement Learning
Learning Compositional Neural Programs with Recursive Tree Search and Planning,Thomas PIERROT · Guillaume Ligner · Scott Reed · Olivier Sigaud · Nicolas Perrin · Alexandre Laterre · David Kas · Karim Beguir · Nando de Freitas,Reinforcement Learning and Planning,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15545,https://drive.google.com/file/d/1EfLGyM14MCbxQM57-HWSnx-aUbATi9Jr/view,,,East Exhibition Hall B + C,Reinforcement Learning
Multi-View Reinforcement Learning,Minne Li · Lisheng Wu · Jun WANG · Haitham Bou Ammar,Reinforcement Learning and Planning,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15545,https://github.com/mlii/mvrl,,,East Exhibition Hall B + C,Reinforcement Learning
Real-Time Reinforcement Learning,Simon Ramstedt · Chris Pal,Reinforcement Learning and Planning,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15545,https://github.com/rmst/rtrl/poster.pdf,,,East Exhibition Hall B + C,Reinforcement Learning
Reconciling λ-Returns with Experience Replay,Brett Daley · Christopher Amato,Reinforcement Learning and Planning,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15545,https://drive.google.com/drive/u/1/folders/1Ipy8XZBrFygF3kQ97wvVSJ922dCvPNMj,,,East Exhibition Hall B + C,Reinforcement Learning
Regret Minimization for Reinforcement Learning by Evaluating the Optimal Bias Function,Zihan Zhang · Xiangyang Ji,Reinforcement Learning and Planning,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15545,,https://github.com/Zsubfunc/github.io/blob/master/1600%20Regret%20Minimization%20for%20RL%20by%20Evaluating%20the%20Bias%20Function.pdf,,East Exhibition Hall B + C,Reinforcement Learning
Sample-Efficient Deep Reinforcement Learning via Episodic Backward Update,Su Young Lee · Choi Sungik · Sae-Young Chung,Reinforcement Learning and Planning,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15545,https://drive.google.com/file/d/1wQqWZosNvGqEEN78QPf_UPa-THDF8bj3/view?usp=sharing,,,East Exhibition Hall B + C,Reinforcement Learning
Staying up to Date with Online Content Changes Using Reinforcement Learning for Scheduling,Andrey Kolobov · Yuval Peres · Cheng Lu · Eric Horvitz,Reinforcement Learning and Planning,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15545,https://github.com/microsoft/Optimal-Freshness-Crawl-Scheduling/blob/master/NeurIPS-2019_poster.pdf,,,East Exhibition Hall B + C,Reinforcement Learning
Trust Region-Guided Proximal Policy Optimization,Yuhui Wang · Hao He · Xiaoyang Tan · Yaozhong Gan,Reinforcement Learning and Planning,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15545,,https://wangyuhuix.github.io/TRGPPO/,,East Exhibition Hall B + C,Reinforcement Learning
Using a Logarithmic Mapping to Enable Lower Discount Factors in Reinforcement Learning,Harm Van Seijen · Mehdi Fatemi · Arash Tavakoli,Reinforcement Learning and Planning,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15545,https://www.dropbox.com/s/1xw0t1vy5jt9n9o/NeurIPS_LogDQN_poster.pdf?dl=0,,,East Exhibition Hall B + C,Reinforcement Learning
Certainty Equivalence is Efficient for Linear Quadratic Control,Horia Mania · Stephen Tu · Benjamin Recht,Theory,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15546,https://drive.google.com/drive/folders/1Nf7HB545T1Ckts57npj4k2lRcWZ2G82h?usp=sharing,,,East Exhibition Hall B + C,Control Theory
A Polynomial Time Algorithm for Log-Concave Maximum Likelihood via Locally Exponential Families,Brian Axelrod · Ilias Diakonikolas · Alistair Stewart · Anastasios Sidiropoulos · Gregory Valiant,Theory,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15527,https://cs.stanford.edu/people/baxelrod/logconcaveposter.pdf,,,East Exhibition Hall B + C,Learning Theory
Dichotomize and Generalize: PAC-Bayesian Binary Activated Deep Neural Networks,Gaël Letarte · Pascal Germain · Benjamin Guedj · Francois Laviolette,Theory,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15527,https://gletarte.github.io/pdf/letarte_neurips2019_poster.pdf,,,East Exhibition Hall B + C,Learning Theory
Finite-time Analysis of Approximate Policy Iteration for the Linear Quadratic Regulator,Karl Krauth · Stephen Tu · Benjamin Recht,Theory,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15527,www.karlk.net/docs/lspi_poster.pdf,,,East Exhibition Hall B + C,Learning Theory
Hypothesis Set Stability and Generalization,Dylan Foster · Spencer Greenberg · Satyen Kale · Haipeng Luo · Mehryar Mohri · Karthik Sridharan,Theory,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15527,,https://drive.google.com/file/d/1yzUCeXhD2wUbM6T_zS3ei9Tqt4rW56be/view?usp=sharing,,East Exhibition Hall B + C,Learning Theory
Minimizers of the Empirical Risk and Risk Monotonicity,Marco Loog · Tom Viering · Alexander Mey,Theory,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15527,,http://tomviering.nl/pdf/slides_NIPS_monotone_2019.pdf,,East Exhibition Hall B + C,Learning Theory
Multiclass Learning from Contradictions,Sauptik Dhar · Vladimir Cherkassky · Mohak Shah,Theory,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15527,,,https://youtu.be/6TayjC7qqPg,East Exhibition Hall B + C,Learning Theory
On the Correctness and Sample Complexity of Inverse Reinforcement Learning,Abi Komanduru · Jean Honorio,Theory,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15527,https://github.com/akomandu/L1SVMIRL/blob/master/preliminary_NIPS_Poster_komanduru_v1.pdf,,,East Exhibition Hall B + C,Learning Theory
On the Power and Limitations of Random Features for Understanding Neural Networks,Gilad Yehudai · Ohad Shamir,Theory,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15527,https://drive.google.com/open?id=1Imdc2YvhJfDJaAS1hywjmm93U-Ei3Zgm,,,East Exhibition Hall B + C,Learning Theory
Robustness to Adversarial Perturbations in Learning from Incomplete Data,Amir Najafi · Shin-ichi Maeda · Masanori Koyama · Takeru Miyato,Theory,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15527,https://drive.google.com/file/d/1HDG4KWYiZtCZwWLV13OtbCk0XSW9GwJv/view,,,East Exhibition Hall B + C,Learning Theory
Stability of Graph Scattering Transforms,Fernando Gama · Alejandro Ribeiro · Joan Bruna,Theory,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15527,http://www.seas.upenn.edu/~fgama/stabilityPosterNeurIPS.pdf,,,East Exhibition Hall B + C,Learning Theory
State Aggregation Learning from Markov Transition Data,Yaqi Duan · Tracy Ke · Mengdi Wang,Theory,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15527,https://drive.google.com/file/d/1IXb9S3jw7QivoOAkG5dp_e4w5fzM6IJs/view?usp=sharing,,,East Exhibition Hall B + C,Learning Theory
Toward a Characterization of Loss Functions for Distribution Learning,Nika Haghtalab · Cameron Musco · Bo Waggoner,Theory,Poster,Tue Dec 10th 05:30  -- 07:30 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15527,https://bowaggoner.com/talks/2019/neurips-characterization-losses-poster.pdf,,,East Exhibition Hall B + C,Learning Theory
A Meta-Analysis of Overfitting in Machine Learning,Rebecca Roelofs · Vaishaal Shankar · Benjamin Recht · Sara Fridovich-Keil · Moritz Hardt · John Miller · Ludwig Schmidt,Algorithms,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15548,https://drive.google.com/open?id=1_rh_KPtcBc4C7g-e7SB7yjmnjXk1ZBAp,,,East Exhibition Hall B + C,Adaptive Data Analysis
A Necessary and Sufficient Stability Notion for Adaptive Generalization,Moshe Shenfeld · Katrina Ligett,Algorithms,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15548,,https://drive.google.com/file/d/1ToQ6nY19ATHRy3QLAnftytxYKRCuxZAL/view?usp=sharing,,East Exhibition Hall B + C,Adaptive Data Analysis
Model Similarity Mitigates Test Set Overuse,Horia Mania · John Miller · Ludwig Schmidt · Moritz Hardt · Benjamin Recht,Algorithms,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15548,https://drive.google.com/file/d/1smxzlS2jidJtjn8rjBi8FcmpzJNTFNMT/view?usp=sharing,,,East Exhibition Hall B + C,Adaptive Data Analysis
Optimal Sampling and Clustering in the Stochastic Block Model,Se-Young Yun · Alexandre Proutiere,Algorithms,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15548,,https://www.slc.eecs.kth.se/nips2019-slides/,,East Exhibition Hall B + C,Adaptive Data Analysis
A Debiased MDI Feature Importance Measure for Random Forests,Xiao Li · Yu Wang · Sumanta Basu · Karl Kumbier · Bin Yu,Algorithms,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15549,,https://drive.google.com/file/d/1Tv8kXAkdWCPltDEVLYiX2WHNkqIuEJ6q/view?usp=sharing,,East Exhibition Hall B + C,Boosting and Ensemble Methods
A Refined Margin Distribution Analysis for Forest Representation Learning,Shen-Huan Lyu · Liang Yang · Zhi-Hua Zhou,Algorithms,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15549,http://www.lamda.nju.edu.cn/lvsh/,,,East Exhibition Hall B + C,Boosting and Ensemble Methods
Faster Boosting with Smaller Memory,Julaiti Alafate · Yoav S Freund,Algorithms,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15549,http://jalafate.com/papers/sparrow19-poster.pdf,,,East Exhibition Hall B + C,Boosting and Ensemble Methods
Margin-Based Generalization Lower Bounds for Boosted Classifiers,Allan Grønlund · Lior Kamma · Kasper Green Larsen · Alexander Mathiasen · Jelani Nelson,Algorithms,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15549,,http://cs.au.dk/~larsen/papers/SlidesNeurIPS2019.pdf,,East Exhibition Hall B + C,Boosting and Ensemble Methods
Minimal Variance Sampling in Stochastic Gradient Boosting,Bulat Ibragimov · Gleb Gusev,Algorithms,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15549,https://github.com/ibr11/mvs_paper/blob/master/mvs_poster.pdf,,,East Exhibition Hall B + C,Boosting and Ensemble Methods
MonoForest framework for tree ensemble analysis,Igor Kuralenok · Vasilii Ershov · Igor Labutin,Algorithms,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15549,https://yadi.sk/d/TrDTe8khLt1_8w,,,East Exhibition Hall B + C,Boosting and Ensemble Methods
Regularized Gradient Boosting,Corinna Cortes · Mehryar Mohri · Dmitry Storcheus,Algorithms,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15549,https://drive.google.com/file/d/1XvF3229ZkFHtGN50I57QMJlJSk45hVbj/view?usp=sharing,,,East Exhibition Hall B + C,Boosting and Ensemble Methods
Rethinking Generative Mode Coverage: A Pointwise Guaranteed Approach,Peilin Zhong · Yuchen Mo · Chang Xiao · Pengyu Chen · Changxi Zheng,Algorithms,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15549,https://github.com/yuchenmo/MWUGAN_NeurIPS/blob/master/poster.pdf,,,East Exhibition Hall B + C,Boosting and Ensemble Methods
An Adaptive Empirical  Bayesian Method for Sparse Deep Learning,Wei Deng · Xiao Zhang · Faming Liang · Guang Lin,Algorithms,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15550,https://github.com/WayneDW/Bayesian-Sparse-Deep-Learning/blob/master/data/NeurIPS_2019_Poster.pdf,https://github.com/WayneDW/Bayesian-Sparse-Deep-Learning/blob/master/data/NeurIPS_2019_slides.pdf,,East Exhibition Hall B + C,Model Selection and Structure Learning
AutoPrune: Automatic Network Pruning by Regularizing Auxiliary Parameters,XIA XIAO · Zigeng Wang · Sanguthevar Rajasekaran,Algorithms,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15550,https://github.com/xxshdw/auto_prune_poster,,,East Exhibition Hall B + C,Model Selection and Structure Learning
Constraint-based Causal Structure Learning with Consistent Separating Sets,Honghao Li · Vincent Cabeli · Nadir Sella · Herve Isambert,Algorithms,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15550,https://github.com/honghaoli42/consistent_pcalg/raw/master/Neurips_poster.pdf,,,East Exhibition Hall B + C,Model Selection and Structure Learning
Fast structure learning with modular regularization,Greg Ver Steeg · Hrayr Harutyunyan · Daniel Moyer · Aram Galstyan,Algorithms,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15550,,https://www.isi.edu/sites/default/files/users/gregv/corex_slides.pdf,http://bit.ly/2N9IJ66,East Exhibition Hall B + C,Model Selection and Structure Learning
Generalized Block-Diagonal Structure Pursuit: Learning Soft Latent Task Assignment against Negative Transfer,Zhiyong Yang · Qianqian Xu · Yangbangyan Jiang · Xiaochun Cao · Qingming Huang,Algorithms,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15550,https://github.com/joshuaas/GBDSP-NeurIPS19,,,East Exhibition Hall B + C,Model Selection and Structure Learning
Learning Erdos-Renyi Random Graphs via Edge Detecting Queries,Zihan Li · Matthias Fresacher · Jonathan Scarlett,Algorithms,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15550,https://github.com/scarlett-nus/er_edge_det/blob/master/Poster_NeurIPS2019.pdf,,,East Exhibition Hall B + C,Model Selection and Structure Learning
Fixing Implicit Derivatives: Trust-Region Based Learning of Continuous Energy Functions,Chris Russell · Matteo Toso · Neill Campbell,Algorithms,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15550,https://drive.google.com/open?id=1TPu-PsVCDSstlKqNKuw5R9y0B8bDRA6x,,,East Exhibition Hall B + C,Model Selection and Structure Learning
Fast and Accurate Least-Mean-Squares Solvers,Ibrahim Jubran · Alaa Maalouf · Dan Feldman,Algorithms,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15551,https://drive.google.com/drive/folders/1ZmOd6_R5Pw_0J3V8WEW2Gl3JxexZtYra?usp=sharing,https://drive.google.com/drive/folders/1dgn69AkBLQhCNzHFPgfXRbS-oUrXDb5V?usp=sharing,,East Exhibition Hall B + C,Regression
Partitioning Structure Learning for Segmented Linear Regression Trees,Xiangyu Zheng · Song Xi Chen,Algorithms,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15551,,https://github.com/xy-zheng/Poster-NeurIPS19,,East Exhibition Hall B + C,Regression
Sparse High-Dimensional Isotonic Regression,David Gamarnik · Julia Gaudio,Algorithms,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15551,http://web.mit.edu/jgaudio/www/poster.pdf,,,East Exhibition Hall B + C,Regression
Total Least Squares Regression in Input Sparsity Time,Huaian Diao · Zhao Song · David Woodruff · Xin Yang,Algorithms,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15551,https://github.com/yangxinuw/total_least_squares_code/blob/master/poster/poster.pptx,,,East Exhibition Hall B + C,Regression
A Unified Framework for Data Poisoning Attack to Graph-based Semi-supervised Learning,Xuanqing Liu · Si Si · Jerry Zhu · Yang Li · Cho-Jui Hsieh,Algorithms,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15552,https://drive.google.com/open?id=1qUWVD0cb4wBsSuaDq9w8SRIXKt1_Y7i1,,,East Exhibition Hall B + C,Semi-Supervised Learning
Are Anchor Points Really Indispensable in Label-Noise Learning?,Xiaobo Xia · Tongliang Liu · Nannan Wang · Bo Han · Chen Gong · Gang Niu · Masashi Sugiyama,Algorithms,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15552,https://tongliang-liu.github.io/papers/NeurIPS2019arePoster.pdf,,,East Exhibition Hall B + C,Semi-Supervised Learning
Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks,Sitao Luan · Mingde Zhao · Xiao-Wen Chang · Doina Precup,Algorithms,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15552,https://github.com/PwnerHarry/Stronger_GCN/blob/master/GCN_POSTER.pdf,,,East Exhibition Hall B + C,Semi-Supervised Learning
Generalized Matrix Means for Semi-Supervised Learning with Multilayer Graphs,Pedro Mercado · Francesco Tudisco · Matthias Hein,Algorithms,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15552,https://github.com/melopeo/PM_SSL,,,East Exhibition Hall B + C,Semi-Supervised Learning
Graph Agreement Models for Semi-Supervised Learning,Otilia Stretcu · Krishnamurthy Viswanathan · Dana Movshovitz-Attias · Emmanouil Platanios · Sujith Ravi · Andrew Tomkins,Algorithms,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15552,https://drive.google.com/file/d/1BZNR4B-xM41hdLLqx4mLsQ4KKJOhjgqV/view?usp=sharing,,,East Exhibition Hall B + C,Semi-Supervised Learning
Graph-Based Semi-Supervised Learning with Non-ignorable Non-response,Fan Zhou · Tengfei Li · Haibo Zhou · Hongtu Zhu · Ye Jieping,Algorithms,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15552,,https://github.com/mlzxzhou/keras-gnm/blob/master/nips_slide.pdf,,East Exhibition Hall B + C,Semi-Supervised Learning
HyperGCN: A New Method For Training Graph Convolutional Networks on Hypergraphs,Naganand Yadati · Madhav Nimishakavi · Prateek Yadav · Vikram Nitin · Anand Louis · Partha Talukdar,Algorithms,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15552,,https://github.com/malllabiisc/HyperGCN/blob/master/slides/HyperGCN.pdf,,East Exhibition Hall B + C,Semi-Supervised Learning
A Condition Number for Joint Optimization of Cycle-Consistent Networks,Leonidas J Guibas · Qixing Huang · Zhenxiao Liang,Algorithms,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15552,,www.cs.utexas.edu/~huangqx/nips2019_slides.pdf,,East Exhibition Hall B + C,Semi-Supervised Learning
MixMatch: A Holistic Approach to Semi-Supervised Learning,David Berthelot · Nicholas Carlini · Ian Goodfellow · Nicolas Papernot · Avital Oliver · Colin A Raffel,Algorithms,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15552,https://github.com/google-research/mixmatch/blob/master/PDF/MixMatch%20NeurIPS%202019%20poster.pdf,,,East Exhibition Hall B + C,Semi-Supervised Learning
Uncoupled Regression from Pairwise Comparison Data,Liyuan Xu · Junya Honda · Gang Niu · Masashi Sugiyama,Algorithms,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15552,https://github.com/liyuan9988/UncoupledRegressionComparison/blob/master/NIPS2019_poster.pdf,,,East Exhibition Hall B + C,Semi-Supervised Learning
Unlabeled Data Improves Adversarial Robustness,Yair Carmon · Aditi Raghunathan · Ludwig Schmidt · John Duchi · Percy Liang,Algorithms,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15552,https://drive.google.com/file/d/1M5Ja357pQ-KTQ6g_wQfm9JEbQzt17Cml/view?usp=sharing,,,East Exhibition Hall B + C,Semi-Supervised Learning
Accurate Layerwise Interpretable Competence Estimation,Vickram Rajendran · William LeVine,Algorithms,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15553,,https://github.com/vickraj/ALICE/blob/master/ALICE_slides.pdf,,East Exhibition Hall B + C,Uncertainty Estimation
Accurate Uncertainty Estimation and Decomposition in Ensemble Learning,Jeremiah Liu · John Paisley · Marianthi-Anna Kioumourtzoglou · Brent Coull,Algorithms,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15553,https://drive.google.com/drive/folders/11FopJswG1i81untgn_1soxMvYH2iityL?usp=sharing,,,East Exhibition Hall B + C,Uncertainty Estimation
Addressing Failure Detection by Learning Model Confidence,Charles Corbière · Nicolas THOME · Avner Bar-Hen · Matthieu Cord · Patrick Pérez,Algorithms,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15553,https://chcorbi.github.io/files/posterNeurIPS2019-AddFailPred.pdf,,,East Exhibition Hall B + C,Uncertainty Estimation
Beyond temperature scaling: Obtaining well-calibrated multi-class probabilities with Dirichlet calibration,Meelis Kull · Miquel Perello Nieto · Markus Kängsepp · Telmo Silva Filho · Hao Song · Peter Flach,Algorithms,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15553,https://dirichletcal.github.io/documents/neurips2019/poster.pdf,https://dirichletcal.github.io/documents/neurips2019/slides.pdf,https://dirichletcal.github.io/documents/neurips2019/video/,East Exhibition Hall B + C,Uncertainty Estimation
Calibration tests in multi-class classification: A unifying framework,David Widmann · Fredrik Lindsten · Dave Zachariah,Algorithms,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15553,https://github.com/devmotion/CalibrationPaper/tree/master/poster/neurips.pdf,https://github.com/devmotion/CalibrationPaper/tree/master/slides/spotlight.pdf,https://vimeo.com/369295144,East Exhibition Hall B + C,Uncertainty Estimation
Can you trust your model's uncertainty?  Evaluating predictive uncertainty under dataset shift,Jasper Snoek · Yaniv Ovadia · Emily Fertig · Balaji Lakshminarayanan · Sebastian Nowozin · D. Sculley · Joshua Dillon · Jie Ren · Zachary Nado,Algorithms,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15553,https://storage.googleapis.com/uq-benchmark-2019/Can%20You%20Trust%20Your%20Model%E2%80%99s%20Uncertainty_%20Evaluating%20Predictive%20Uncertainty%20Under%20Dataset%20Shift%20-%20Poster.pdf,https://storage.googleapis.com/uq-benchmark-2019/Can%20You%20Trust%20Your%20Model%E2%80%99s%20Uncertainty_%20Evaluating%20Predictive%20Uncertainty%20Under%20Dataset%20Shift.pdf,,East Exhibition Hall B + C,Uncertainty Estimation
Computing Full Conformal Prediction Set with Approximate Homotopy,Eugene Ndiaye · Ichiro Takeuchi,Algorithms,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15553,,https://github.com/EugeneNdiaye/homotopy_conformal_prediction,,East Exhibition Hall B + C,Uncertainty Estimation
Conformalized Quantile Regression,Yaniv Romano · Evan Patterson · Emmanuel Candes,Algorithms,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15553,https://github.com/yromano/cqr/blob/master/poster/CQR_Poster.pdf,,,East Exhibition Hall B + C,Uncertainty Estimation
Deep Gamblers: Learning to Abstain with Portfolio Theory,Ziyin Liu · Zhikang Wang · Paul Pu Liang · Russ Salakhutdinov · Louis-Philippe Morency · Masahito Ueda,Algorithms,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15553,http://cat.phys.s.u-tokyo.ac.jp/~zliu/slides/neurips2019_poster_gblers.pdf,,,East Exhibition Hall B + C,Uncertainty Estimation
Likelihood Ratios for Out-of-Distribution Detection,Jie Ren · Peter J. Liu · Emily Fertig · Jasper Snoek · Ryan  Poplin · Mark Depristo · Joshua Dillon · Balaji Lakshminarayanan,Algorithms,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15553,http://www.gatsby.ucl.ac.uk/~balaji/NeurIPS2019-llr-ood-poster.pdf,http://www.gatsby.ucl.ac.uk/~balaji/NeurIPS2019-llr-ood-slides.pdf,https://youtu.be/-FduW9ZWAR4,East Exhibition Hall B + C,Uncertainty Estimation
Modeling Uncertainty by Learning a Hierarchy of Deep Neural Connections,Raanan Yehezkel Rohekar · Yaniv Gurwicz · Shami Nisimov · Gal Novik,Algorithms,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15553,https://drive.google.com/open?id=1GJcVFcxIoM0h5hL9J3wiNnmszCZECSEG,,,East Exhibition Hall B + C,Uncertainty Estimation
Modelling heterogeneous distributions with an Uncountable Mixture of Asymmetric Laplacians,Axel Brando · Jose A Rodriguez · Jordi Vitria · Alberto Rubio Muñoz,Algorithms,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15553,,,https://vimeo.com/369179175/a17d3de911,East Exhibition Hall B + C,Uncertainty Estimation
On Mixup Training: Improved Calibration and Predictive Uncertainty for Deep Neural Networks,Sunil Thulasidasan · Gopinath Chennupati · Jeff Bilmes · Tanmoy Bhattacharya · Sarah Michalak,Algorithms,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15553,http://public.lanl.gov/sunil/pubs/neurips2019_poster.pdf,,,East Exhibition Hall B + C,Uncertainty Estimation
Prediction of Spatial Point Processes: Regularized Method with Out-of-Sample Guarantees,Muhammad Osama · Dave Zachariah · Peter Stoica,Algorithms,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15553,https://www.dropbox.com/s/r2q1dvvitgp357j/Poster_Spatial_process_neurips19.pdf?dl=0,https://www.dropbox.com/s/scoifhfbtl63f7c/neurips19_presentation.pdf?dl=0,https://youtu.be/pg3Z3HEKHjc,East Exhibition Hall B + C,Uncertainty Estimation
Reliable training and estimation of variance networks,Nicki Skafte · Martin Jørgensen · Søren Hauberg,Algorithms,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15553,https://github.com/SkafteNicki/john/blob/master/poster.pdf,,,East Exhibition Hall B + C,Uncertainty Estimation
Reverse KL-Divergence Training of Prior Networks: Improved Uncertainty and Adversarial Robustness,Andrey Malinin · Mark Gales,Algorithms,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15553,,https://malinin.io/rkl_presentation.pdf,,East Exhibition Hall B + C,Uncertainty Estimation
Single-Model Uncertainties for Deep Learning,Natasa Tagasovska · David Lopez-Paz,Algorithms,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15553,https://drive.google.com/open?id=10qmUU29CYjd44bMFl277hCdA1vapT21I,,,East Exhibition Hall B + C,Uncertainty Estimation
The Functional Neural Process,Christos Louizos · Xiahan Shi · Klamer Schutte · Max Welling,Algorithms,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15553,,https://drive.google.com/open?id=1N9XyB77SqNlONiHCnnnm-wkOul78-6EW,,East Exhibition Hall B + C,Uncertainty Estimation
Uncertainty on Asynchronous Time Event Prediction,Bertrand Charpentier · Marin Biloš · Stephan Günnemann,Algorithms,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15553,https://github.com/sharpenb/Uncertainty-Event-Prediction/blob/master/assets/poster.pdf,,,East Exhibition Hall B + C,Uncertainty Estimation
Verified Uncertainty Calibration,Ananya Kumar · Percy Liang · Tengyu Ma,Algorithms,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15553,,https://github.com/AnanyaKumar/calibration_paper/raw/master/slides.pdf,,East Exhibition Hall B + C,Uncertainty Estimation
Coresets for Archetypal Analysis,Sebastian Mair · Ulf Brefeld,Algorithms,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15554,https://github.com/smair/archetypalanalysis-coreset/raw/master/paper/poster.pdf,,,East Exhibition Hall B + C,Unsupervised Learning
Multivariate Triangular Quantile Maps for Novelty Detection,Jingjing Wang · Sun Sun · Yaoliang Yu,Algorithms,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15554,https://github.com/GinGinWang/MTQ/blob/master/poster/poster_nips.pdf,,,East Exhibition Hall B + C,Unsupervised Learning
Effective End-to-end Unsupervised Outlier Detection via Inlier Priority of Discriminative Network,Siqi Wang · Yijie Zeng · Xinwang Liu · En Zhu · Jianping Yin · Chuanfu Xu · Marius Kloft,Algorithms,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15554,https://github.com/demonzyj56/E3Outlier/releases/download/v0.1/NeurIPS19_poster_yijie.pdf,,,East Exhibition Hall B + C,Unsupervised Learning
High-Quality Self-Supervised Deep Image Denoising,Samuli Laine · Tero Karras · Jaakko Lehtinen · Timo Aila,Algorithms,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15554,,https://users.aalto.fi/~laines9/publications/laine2019denoising_slides.pdf,,East Exhibition Hall B + C,Unsupervised Learning
Object landmark discovery through unsupervised adaptation,Enrique Sanchez · Georgios Tzimiropoulos,Algorithms,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15554,https://esanchezlozano.github.io/files/PosterNeurIPS.pdf,,,East Exhibition Hall B + C,Unsupervised Learning
PIDForest: Anomaly Detection via Partial Identification,Parikshit Gopalan · Vatsal Sharan · Udi Wieder,Algorithms,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15554,https://www.dropbox.com/s/idzv52s5bk0wcdu/pidforest_poster.pdf?dl=0,https://www.dropbox.com/s/7001asjanb1nyec/pidforest_slides.pdf?dl=0,,East Exhibition Hall B + C,Unsupervised Learning
Robust Principal Component Analysis with Adaptive Neighbors,Rui Zhang · Hanghang Tong,Algorithms,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15554,https://gitlab.com/rzhan132/robust-principal-component-analysis-with-adaptive-neighbors/blob/master/NeurIPS_2019.pdf,,,East Exhibition Hall B + C,Unsupervised Learning
DISN: Deep Implicit Surface Network for High-quality Single-view 3D Reconstruction,Qiangeng Xu · Weiyue Wang · Duygu Ceylan ·  Radomir Mech · Ulrich Neumann,Applications,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15555,https://xharlie.github.io/papers/neurips2019_DISN.pdf,,,East Exhibition Hall B + C,Computer Vision
DM2C: Deep Mixed-Modal Clustering,Yangbangyan Jiang · Qianqian Xu · Zhiyong Yang · Xiaochun Cao · Qingming Huang,Applications,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15555,https://github.com/jiangyangby/DM2C/blob/master/poster/NeurIPS2019-DM2C-Poster.pdf,,,East Exhibition Hall B + C,Computer Vision
ETNet: Error Transition Network for Arbitrary Style Transfer,Chunjin Song · Zhijie Wu · Yang Zhou · Minglun Gong · Hui Huang,Applications,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15555,https://github.com/zhijieW94/ETNet/blob/master/docs/ETNet_poster.pdf,,,East Exhibition Hall B + C,Computer Vision
Joint-task Self-supervised Learning for Temporal Correspondence,Xueting Li · Sifei Liu · Shalini De Mello · Xiaolong Wang · Jan Kautz · Ming-Hsuan Yang,Applications,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15555,,,https://www.youtube.com/watch?v=Rfy3dG3lRpM&feature=youtu.be,East Exhibition Hall B + C,Computer Vision
Learning Conditional Deformable Templates with Convolutional Networks,Adrian Dalca · Marianne Rakic · John Guttag · Mert Sabuncu,Applications,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15555,http://voxelmorph.mit.edu/atlas_creation/files/cr_poster.pdf,http://voxelmorph.mit.edu/atlas_creation/files/cr_slides.pdf,http://voxelmorph.mit.edu/atlas_creation/files/cr_video.mp4,East Exhibition Hall B + C,Computer Vision
Learning Object Bounding Boxes for 3D Instance Segmentation on Point Clouds,Bo Yang · Jianan Wang · Ronald Clark · Qingyong Hu · Sen Wang · Andrew Markham · Niki Trigoni,Applications,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15555,,https://www.dropbox.com/sh/aw0eqik174eh96k/AAAmBdooiW-HjeWOntgH-0aDa?dl=0,,East Exhibition Hall B + C,Computer Vision
Learning to Predict Layout-to-image Conditional Convolutions for Semantic Image Synthesis,Xihui Liu · Guojun Yin · Jing Shao · Xiaogang Wang · hongsheng Li,Applications,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15555,https://drive.google.com/open?id=194B8-t6IowmxKvrat4fqhr4jM7f-EBCM,,,East Exhibition Hall B + C,Computer Vision
NeurVPS: Neural Vanishing Point Scanning via Conic Convolution,Yichao Zhou · Haozhi Qi · Jingwei Huang · Yi Ma,Applications,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15555,,https://yichaozhou.com/publication/1905neurvps/slides.pdf,,East Exhibition Hall B + C,Computer Vision
Saccader: Improving Accuracy of Hard Attention Models for Vision,Gamaleldin Elsayed · Simon Kornblith · Quoc V Le,Applications,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15555,https://drive.google.com/open?id=1YMMS8En0H6J9boKLrhY5T5SnUgulUj5-,,,East Exhibition Hall B + C,Computer Vision
Scene Representation Networks: Continuous 3D-Structure-Aware Neural Scene Representations,Vincent Sitzmann · Michael Zollhoefer · Gordon Wetzstein,Applications,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15555,https://vsitzmann.github.io/srns/poster.pdf,https://vsitzmann.github.io/srns/slides.pdf,https://vsitzmann.github.io/srns/video/,East Exhibition Hall B + C,Computer Vision
Stand-Alone Self-Attention in Vision Models,Niki Parmar · Prajit Ramachandran · Ashish Vaswani · Irwan Bello · Anselm Levskaya · Jon Shlens,Applications,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15555,https://drive.google.com/open?id=1TqHNFd3Y3tLYLrL-87r5tu8Ip8mGqZyk,,,East Exhibition Hall B + C,Computer Vision
Unsupervised Scale-consistent Depth and Ego-motion Learning from Monocular Video,Jiawang Bian · Zhichao Li · Naiyan Wang · Huangying Zhan · Chunhua Shen · Ming-Ming Cheng · Ian Reid,Applications,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15555,http://jwbian.net/Papers/SC_SfMLearner_Poster.pdf,,,East Exhibition Hall B + C,Computer Vision
Volumetric Correspondence Networks for Optical Flow,Gengshan Yang · Deva Ramanan,Applications,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15555,,https://docs.google.com/presentation/d/1XKNFx7b4HQzauuU1bYi_9ZQmcQ0eknjSgljRa_kFaXQ/edit?usp=sharing,,East Exhibition Hall B + C,Computer Vision
Zero-Shot Semantic Segmentation,Maxime Bucher · Tuan-Hung VU · Matthieu Cord · Patrick Pérez,Applications,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15555,https://maximebucher.github.io/files/NeurIPS19_Zero_Shot_Semantic_Segmentation_poster.pdf,,,East Exhibition Hall B + C,Computer Vision
Category Anchor-Guided Unsupervised Domain Adaptation for Semantic Segmentation,Qiming ZHANG · Jing Zhang · Wei Liu · Dacheng Tao,Applications,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15556,https://github.com/RogerZhangzz/CAG_UDA/blob/master/Qiming%20ZHANG-NIPS_UDA.pdf,,,East Exhibition Hall B + C,Image Segmentation
Exploiting Local and Global Structure for Point Cloud Semantic Segmentation with Contextual Point Representations,Xu Wang · Jingming He · Lin Ma,Applications,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15556,https://github.com/fly519/ELGS/blob/master/poster/Poster：Exploiting%20Local%20and%20Global%20Structure%20for%20Point%20Exploiting%20Local%20and%20Global%20Structure%20for%20Point%20Exploiting%20Local%20and%20Global%20Structure%20for%20Point.pdf,,,East Exhibition Hall B + C,Image Segmentation
Learnable Tree Filter for Structure-preserving Feature Transform,Lin Song · Yanwei Li · Zeming Li · Gang Yu · Hongbin Sun · Jian Sun · Nanning Zheng,Applications,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15556,https://www.dropbox.com/sh/wrcsdimztvacqro/AAAOx353HMaAqAYF6V6Rkgana?dl=0,,,East Exhibition Hall B + C,Image Segmentation
Memory-oriented Decoder for Light Field Salient Object Detection,Miao Zhang · Jingjing Li · JI WEI · Yongri Piao · Huchuan Lu,Applications,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15556,https://pan.baidu.com/s/15mMh4FkaSrmU3ytpbTwF9A,,,East Exhibition Hall B + C,Image Segmentation
Multi-source Domain Adaptation for Semantic Segmentation,Sicheng Zhao · Bo Li · Xiangyu Yue · Yang Gu · Pengfei Xu · Runbo Hu · Hua Chai · Kurt Keutzer,Applications,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15556,https://drive.google.com/file/d/17l9ZNCglzLlVJefhZg9_wI-k9tX8Vyb_/view?usp=sharing,,,East Exhibition Hall B + C,Image Segmentation
Probabilistic Watershed: Sampling all spanning forests for seeded segmentation and semi-supervised learning,Enrique Fita Sanmartin · Sebastian Damrich · Fred Hamprecht,Applications,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15556,,https://github.com/hci-unihd/Probabilistic_Watershed/blob/master/Slides/Probabilistic_Watershed_slides.pdf,,East Exhibition Hall B + C,Image Segmentation
Region Mutual Information Loss for Semantic Segmentation,Shuai Zhao · Yang Wang · Zheng Yang · Deng Cai,Applications,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15556,https://drive.google.com/open?id=15fvdkVIvJ893Nt2xmdDNT9FolLaMspWB,,,East Exhibition Hall B + C,Image Segmentation
Topology-Preserving Deep Image Segmentation,Xiaoling Hu · Fuxin Li · Dimitris Samaras · Chao Chen,Applications,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15556,,https://drive.google.com/file/d/1RIrar79G6zLeae06cavWrP7UEDQsNQ79/view?usp=sharing,,East Exhibition Hall B + C,Image Segmentation
Unsupervised Object Segmentation by Redrawing,Mickaël Chen · Thierry Artières · Ludovic Denoyer,Applications,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15556,http://webia.lip6.fr/~chenm/paper/Unsupervised_Object_Segmentation_by_Redrawing__poster_.pdf,,,East Exhibition Hall B + C,Image Segmentation
PerspectiveNet: 3D Object Detection from a Single RGB Image via Perspective Points,Siyuan Huang · Yixin Chen · Tao Yuan · Siyuan Qi · Yixin Zhu · Song-Chun Zhu,Applications,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15557,https://siyuanhuang.com/perspectivenet/poster.pdf,,,East Exhibition Hall B + C,Object Detection
Cascade RPN: Delving into High-Quality Region Proposal Network with Adaptive Convolution,Thang Vu · Hyunjun Jang · Trung X. Pham · Chang Yoo,Applications,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15557,,https://github.com/thangvubk/Cascade-RPN/raw/master/docs/Cascade-RPN.pdf,,East Exhibition Hall B + C,Object Detection
Consistency-based Semi-supervised Learning for Object detection,Jisoo Jeong · Seungeui Lee · Jeesoo Kim · Nojun Kwak,Applications,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15557,https://github.com/soo89/CSD-SSD,,,East Exhibition Hall B + C,Object Detection
FreeAnchor: Learning to Match Anchors for Visual Object Detection,Xiaosong Zhang · Fang Wan · Chang Liu · Rongrong Ji · Qixiang Ye,Applications,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15557,https://drive.google.com/open?id=1XMpvGK8TMAj6KUQyHeYGlGVM1oanD90U,,,East Exhibition Hall B + C,Object Detection
One-Shot Object Detection with Co-Attention and Co-Excitation,Ting-I Hsieh · Yi-Chen Lo · Hwann-Tzong Chen · Tyng-Luh Liu,Applications,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15557,https://drive.google.com/drive/u/0/folders/1sTjR75hgDDML2owb9erRdnKVLRvuluo4,https://drive.google.com/drive/u/0/folders/1sTjR75hgDDML2owb9erRdnKVLRvuluo4,,East Exhibition Hall B + C,Object Detection
Learning-In-The-Loop Optimization: End-To-End Control And Co-Design Of Soft Robots Through Learned Deep Latent Representations,Andrew Spielberg · Allan Zhao · Yuanming Hu · Tao Du · Wojciech Matusik · Daniela Rus,Applications,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15558,,,https://youtu.be/umWPhw9o968,East Exhibition Hall B + C,Robotics
Multiple Futures Prediction,Charlie Tang · Russ Salakhutdinov,Applications,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15558,https://github.com/apple/ml-multiple-futures-prediction,,,East Exhibition Hall B + C,Robotics
Neural Lyapunov Control,Ya-Chien Chang · Nima Roohi · Sicun Gao,Applications,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15558,https://github.com/YaChienChang/yachienchang.github.io/blob/master/NeurIPS2019/poster.pdf,,,East Exhibition Hall B + C,Robotics
On Single Source Robustness in Deep Fusion Models,Taewan Kim · Joydeep Ghosh,Applications,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15558,,https://drive.google.com/open?id=1TgOIz-AW8MKRbZlLWIh4os-J35kgSOVV,,East Exhibition Hall B + C,Robotics
Third-Person Visual Imitation Learning via Decoupled Hierarchical Controller,Pratyusha Sharma · Deepak Pathak · Abhinav Gupta,Applications,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15558,https://pathak22.github.io/hierarchical-imitation/resources/poster.pdf,https://pathak22.github.io/hierarchical-imitation/resources/slides.pdf,https://youtu.be/eWBkDuNFEKA,East Exhibition Hall B + C,Robotics
Adaptively Aligned Image Captioning via Adaptive Attention Time,Lun Huang · Wenmin Wang · Yaxian Xia · Jie Chen,Applications,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15559,https://husthuaan.github.io/research/aat_poster.pdf,,,East Exhibition Hall B + C,Visual Scene Analysis and Interpretation
Multiview Aggregation for Learning Category-Specific Shape Reconstruction,Srinath Sridhar · Davis Rempe · Julien Valentin · Bouaziz Sofien · Leonidas J Guibas,Applications,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15559,https://geometry.stanford.edu/projects/xnocs,https://geometry.stanford.edu/projects/xnocs,https://geometry.stanford.edu/projects/xnocs,East Exhibition Hall B + C,Visual Scene Analysis and Interpretation
TAB-VCR: Tags and Attributes based VCR Baselines,Jingxiang Lin · Unnat Jain · Alexander Schwing,Applications,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15559,,https://deanplayerljx.github.io/tabvcr/neurips_2019_slides.pdf,https://youtu.be/FS66skIlIYQ,East Exhibition Hall B + C,Visual Scene Analysis and Interpretation
Weakly Supervised Instance Segmentation using the Bounding Box Tightness Prior,Cheng-Chun Hsu · Kuang-Jui Hsu · Chung-Chi Tsai  · Yen-Yu Lin · Yung-Yu Chuang,Applications,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15559,https://drive.google.com/file/d/1ef2I0bBAIwitu8OO2LFXvlRmwaoQfemB/view?usp=sharing,,,East Exhibition Hall B + C,Visual Scene Analysis and Interpretation
Combining Generative and Discriminative Models for Hybrid Inference,Victor Garcia Satorras · Max Welling · Zeynep Akata,Deep Learning,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15560,https://drive.google.com/open?id=1HN_0bbz_JfRL8Of0C3Hjj9nKHmWVCDdL,,,East Exhibition Hall B + C,Efficient Inference Methods
Deep Model Transferability from Attribution Maps,Jie Song · Yixin Chen · Xinchao Wang · Chengchao Shen · Mingli Song,Deep Learning,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15560,https://pan.zju.edu.cn/share/00c0d6f4d16ccde8b6fd92ec20,,,East Exhibition Hall B + C,Efficient Inference Methods
Focused Quantization for Sparse CNNs,Yiren Zhao · Xitong Gao · Daniel Bates · Robert Mullins · Cheng-Zhong Xu,Deep Learning,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15560,https://github.com/deep-fry/mayo/blob/master/docs/focused.pdf,,,East Exhibition Hall B + C,Efficient Inference Methods
Global Sparse Momentum SGD for Pruning Very Deep Neural Networks,Xiaohan Ding · guiguang ding · Xiangxin Zhou · Yuchen Guo · Jungong Han · Ji Liu,Deep Learning,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15560,https://github.com/DingXiaoH/GSM-SGD/blob/master/poster.pdf,,,East Exhibition Hall B + C,Efficient Inference Methods
Latent Weights Do Not Exist: Rethinking Binarized Neural Network Optimization,Koen Helwegen · James Widdicombe · Lukas Geiger · Zechun Liu · Kwang-Ting Cheng · Roeland Nusselder,Deep Learning,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15560,https://drive.google.com/drive/folders/1T_xuqgD9VIWCDcGaTmP48Ii0Yr8O0jXJ?usp=sharing,,,East Exhibition Hall B + C,Efficient Inference Methods
Normalization Helps Training of Quantized LSTM,Lu Hou · Jinhua Zhu · James Kwok · Fei Gao · Tao Qin · Tie-Yan Liu,Deep Learning,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15560,https://github.com/houlu369/Normalized-Quantized-LSTM/blob/master/posterV1.pdf,,,East Exhibition Hall B + C,Efficient Inference Methods
Post training 4-bit quantization of convolutional networks for rapid-deployment,Ron Banner · Yury Nahshan · Daniel Soudry,Deep Learning,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15560,https://github.com/submission2019/cnn-quantization/blob/master/Neurips2019Poster.pdf,https://github.com/submission2019/cnn-quantization/blob/master/Neurips2019Presentation.pdf,,East Exhibition Hall B + C,Efficient Inference Methods
SCAN: A Scalable Neural Networks Framework Towards Compact and Efficient Models,Linfeng Zhang · Zhanhong Tan · Jiebo Song · Jingwei Chen · Chenglong Bao · Kaisheng Ma,Deep Learning,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15560,https://github.com/ArchipLab-LinfengZhang/pytorch-scalable-neural-networks/blob/master/Poster-SCAN-v0.1.pptx,,,East Exhibition Hall B + C,Efficient Inference Methods
Shallow RNN:  Accurate Time-series Classification on Resource Constrained Devices,Don Dennis · Durmus Alp Emre Acar · Vikram Mandikal · Vinu Sankar Sadasivan · Venkatesh Saligrama · Harsha Vardhan Simhadri · Prateek Jain,Deep Learning,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15560,,https://dkdennis.xyz/static/sharnn-neurips19-slides.pdf,,East Exhibition Hall B + C,Efficient Inference Methods
Deep Generative Video Compression,Salvator Lombardo · JUN HAN · Christopher Schroers · Stephan Mandt,Deep Learning,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15561,http://www.stephanmandt.com/files/Han_etal_NeurIPS_2019.pdf,,,East Exhibition Hall B + C,Generative Models
A Model to Search for Synthesizable Molecules,John Bradshaw · Brooks Paige · Matt Kusner · Marwin Segler · José Miguel Hernández-Lobato,Deep Learning,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15561,https://github.com/john-bradshaw/molecule-chef/blob/master/poster/poster.pdf,,,East Exhibition Hall B + C,Generative Models
BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling,Lars Maaløe · Marco Fraccaro · Valentin Liévin · Ole Winther,Deep Learning,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15561,https://drive.google.com/file/d/1kW-oNLtAmQBxXLPEpluLtGv4GpoVKY7R/view?usp=sharing,,,East Exhibition Hall B + C,Generative Models
Classification Accuracy Score for Conditional Generative Models,Suman Ravuri · Oriol Vinyals,Deep Learning,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15561,https://drive.google.com/open?id=1XkrLSUzk4NHb3PRZ_6wPlC8DVcdmFM42,,,East Exhibition Hall B + C,Generative Models
Discrete Flows: Invertible Generative Models of Discrete Data,Dustin Tran · Keyon Vafa · Kumar Agrawal · Laurent Dinh · Ben Poole,Deep Learning,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15561,http://dustintran.com/papers/TranVafaAgrawalDinhPoole2019_poster.pdf,,,East Exhibition Hall B + C,Generative Models
First Order Motion Model for Image Animation,Aliaksandr Siarohin · Stephane Lathuillere · Sergey Tulyakov · Elisa Ricci · Nicu Sebe,Deep Learning,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15561,https://aliaksandrsiarohin.github.io/first-order-model-website/poster.pdf,,,East Exhibition Hall B + C,Generative Models
G2SAT: Learning to Generate SAT Formulas,Jiaxuan You · Haoze Wu · Clark Barrett · Raghuram Ramanujan · Jure Leskovec,Deep Learning,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15561,https://drive.google.com/open?id=1zU-2yI-c6xCrFlAfROOJxnKXCrP9kiWr,,,East Exhibition Hall B + C,Generative Models
Multi-objects Generation with Amortized Structural Regularization,Taufik Xu · Chongxuan LI · Jun Zhu · Bo Zhang,Deep Learning,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15561,http://ml.cs.tsinghua.edu.cn/~kunxu/ASR-poster.pdf,,,East Exhibition Hall B + C,Generative Models
Neural Multisensory Scene Inference,Jae Hyun Lim · Pedro O. Pinheiro · Negar Rostamzadeh · Chris Pal · Sungjin Ahn,Deep Learning,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15561,,https://docs.google.com/presentation/d/139asf3V2rLFiNXBwsxqWP_ifxQqKr5UkD_lzTM7z0mU/edit?usp=sharing,,East Exhibition Hall B + C,Generative Models
Neural Spline Flows,Conor Durkan · Artur Bekasov · Iain Murray · George Papamakarios,Deep Learning,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15561,https://www.dropbox.com/s/vk3sdxryjhdyfhy/nsf-poster.pdf?raw=1,,,East Exhibition Hall B + C,Generative Models
Progressive Augmentation of GANs,Dan Zhang · Anna Khoreva,Deep Learning,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15561,https://github.com/boschresearch/PA-GAN/blob/master/poster/PA-GAN%20Poster.pdf,,,East Exhibition Hall B + C,Generative Models
Quantum Wasserstein Generative Adversarial Networks,Shouvanik Chakrabarti · Huang Yiming · Tongyang Li · Soheil Feizi · Xiaodi Wu,Deep Learning,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15561,https://www.cs.umd.edu/~xwu/papers/neurips_2019_poster.pdf,,,East Exhibition Hall B + C,Generative Models
Energy-Inspired Models: Learning with Sampler-Induced Distributions,John Lawson · George Tucker · Bo Dai · Rajesh Ranganath,Deep Learning,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15561,https://sites.google.com/view/energy-inspired-models,,,East Exhibition Hall B + C,Generative Models
Sequence Modeling with Unconstrained Generation Order,Dmitrii Emelianenko · Elena Voita · Pavel Serdyukov,Deep Learning,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15561,https://github.com/TIXFeniks/neurips2019_intrus/raw/master/resources/poster.pdf,,,East Exhibition Hall B + C,Generative Models
Symmetry-adapted generation of 3d point sets for the targeted discovery of molecules,Niklas Gebauer · Michael Gastegger · Kristof Schütt,Deep Learning,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15561,https://drive.google.com/file/d/1XCU8Evt07DaqD-blMwYX-frSVbpVT8v0,,,East Exhibition Hall B + C,Generative Models
Don't Blame the ELBO! A Linear VAE Perspective on Posterior Collapse,James Lucas · George Tucker · Roger Grosse · Mohammad Norouzi,Deep Learning,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15561,https://www.cs.toronto.edu/~jlucas/papers/DontBlameELBO_Poster.pdf,,,East Exhibition Hall B + C,Generative Models
Unsupervised Learning of Object Keypoints for Perception and Control,Tejas Kulkarni · Ankush Gupta · Catalin Ionescu · Sebastian Borgeaud · Malcolm Reynolds · Andrew Zisserman · Volodymyr Mnih,Deep Learning,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15561,https://drive.google.com/drive/folders/1mRIreitKQecX7AfI8Fago2XyLozRFshh?usp=sharing,,,East Exhibition Hall B + C,Generative Models
Combinatorial Inference against Label Noise,Paul Hongsuck Seo · Geeho Kim · Bohyung Han,Deep Learning,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15562,https://github.com/snow12345/Combinatorial_Classification/tree/master/poster/poster.pdf,,,East Exhibition Hall B + C,Supervised Deep Networks
Deep Signature Transforms,Patrick Kidger · Patric Bonnier · Imanol Perez Arribas · Cristopher Salvi · Terry Lyons,Deep Learning,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15562,https://github.com/patrick-kidger/Deep-Signature-Transforms/blob/master/poster/deepsig_poster.pdf,,,East Exhibition Hall B + C,Supervised Deep Networks
Data Parameters: A New Family of Parameters for Learning a Differentiable Curriculum,Shreyas Saxena · Oncel Tuzel · Dennis DeCoste,Deep Learning,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15562,,https://github.com/apple/ml-data-parameters,,East Exhibition Hall B + C,Supervised Deep Networks
Implicit Semantic Data Augmentation for Deep Networks,Yulin Wang · Xuran Pan · Shiji Song · Hong Zhang · Gao Huang · Cheng Wu,Deep Learning,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15562,https://github.com/blackfeather-wang/ISDA-for-Deep-Networks/tree/master/Poster,,,East Exhibition Hall B + C,Supervised Deep Networks
Is Deeper Better only when Shallow is Good?,Eran Malach · Shai Shalev-Shwartz,Deep Learning,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15562,,https://github.com/emalach/IsDeeperBetter/blob/master/Deeper_is_Better.pdf,,East Exhibition Hall B + C,Supervised Deep Networks
No-Press Diplomacy: Modeling Multi-Agent Gameplay,Philip Paquette · Yuchen Lu · SETON STEVEN BOCCO · Max Smith · Satya O.-G. · Jonathan K. Kummerfeld · Joelle Pineau · Satinder Singh · Aaron Courville,Deep Learning,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15562,https://storage.googleapis.com/ppaquette-diplomacy/files/No_Press_Diplomacy_Poster.pdf,,,East Exhibition Hall B + C,Supervised Deep Networks
Riemannian batch normalization for SPD neural networks,Daniel Brooks · Olivier Schwander · Frederic Barbaresco · Jean-Yves Schneider · Matthieu Cord,Deep Learning,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15562,https://www.dropbox.com/s/eegn3cu2tqxmbxo/poster_brooks.pdf?dl=0,,,East Exhibition Hall B + C,Supervised Deep Networks
A state-space model for inferring effective connectivity of latent neural dynamics from simultaneous EEG/fMRI,Tao Tu · John Paisley · Stefan Haufe · Paul Sajda,Neuroscience and Cognitive Science,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15563,https://github.com/taotu/VBLDS_Connectivity_EEG_fMRI/tree/master/Poster,,,East Exhibition Hall B + C,Brain Imaging
Manifold-regression to predict from MEG/EEG brain signals without source modeling,David Sabbagh · Pierre Ablin · Gael Varoquaux · Alexandre Gramfort · Denis A. Engemann,Neuroscience and Cognitive Science,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15563,,https://denis-engemann.de/slides/presentation_nips19submission.pdf,,East Exhibition Hall B + C,Brain Imaging
Inducing brain-relevant bias in natural language processing models,Dan Schwartz · Mariya Toneva · Leila Wehbe,Neuroscience and Cognitive Science,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15564,https://drive.google.com/open?id=1HinhiSSHpSX9pYOl5GtbcFmwXI_QbWAS,,,East Exhibition Hall B + C,Brain Mapping
Deep Multi-State Dynamic Recurrent Neural Networks Operating on Wavelet Based Neural Features for Robust Brain Machine Interfaces,Benyamin Allahgholizadeh Haghi · Spencer Kellis · Sahil Shah · Maitreyi Ashok · Luke Bashford · Daniel Kramer · Brian Lee · Charles Liu · Richard Andersen · Azita Emami,Brain,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15565,https://github.com/BenyaminHaghi/DRNN-NeurIPS2019/blob/master/NeurIPS2019_Poster_Benyamin_Haghi.pdf,https://github.com/BenyaminHaghi/DRNN-NeurIPS2019/blob/master/NeurIPS2019_BenyaminHaghi_slides.pdf,https://www.youtube.com/watch?v=VbgM-hO_fQ0,East Exhibition Hall B + C,Computer Interfaces and Neural Prostheses
Dynamic Ensemble Modeling Approach to Nonstationary Neural Decoding in Brain-Computer Interfaces,Yu Qi · Bin Liu · Yueming Wang · Gang Pan,Brain,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15565,https://github.com/Fawkes-qiyu/DyEnsemble/raw/master/nips2019_DyEmsemble_poster.pdf,,,East Exhibition Hall B + C,Computer Interfaces and Neural Prostheses
Efficient characterization of electrically evoked responses for neural interfaces,Nishal Shah · Sasidhar Madugula · Pawel Hottowy · Alexander Sher · Alan Litke · Liam Paninski · E.J. Chichilnisky,Brain,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15565,,https://drive.google.com/open?id=1T2nifSUrstnxpaQojWXYQvTXhC4GRZcU,,East Exhibition Hall B + C,Computer Interfaces and Neural Prostheses
Enabling hyperparameter optimization in sequential autoencoders for spiking neural data,Mohammad Reza Keshtkaran · Chethan Pandarinath,Brain,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15565,https://snel-repo.github.io/NeurIPS2019/,,,East Exhibition Hall B + C,Computer Interfaces and Neural Prostheses
Learning Macroscopic Brain Connectomes via Group-Sparse Factorization,Farzane Aminmansour · Andrew Patterson · Lei Le · Yisu  Peng · Daniel  Mitchell · Franco Pestilli · Cesar Caiafa · Russell Greiner · Martha White,Neuroscience and Cognitive Science,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15566,https://github.com/framinmansour/Learning-Macroscopic-Brain-Connectomes-via-Group-Sparse-Factorization/raw/master/poster/cvpr19_poster_template_1.pdf,,https://github.com/framinmansour/Learning-Macroscopic-Brain-Connectomes-via-Group-Sparse-Factorization/raw/master/video/3minute_presentation.mp4,East Exhibition Hall B + C,Connectomics
Coordinated hippocampal-entorhinal replay as structural inference,Talfan Evans · Neil Burgess,Neuroscience and Cognitive Science,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15567,https://github.com/talfanevans/Coordinated_replay_for_structural_inference_NeurIPS_2019,,,East Exhibition Hall B + C,Human or Animal Learning
Disentangled behavioural representations,Amir Dezfouli · Hassan Ashtiani · Omar Ghattas · Richard Nock · Peter Dayan · Cheng Soon Ong,Neuroscience and Cognitive Science,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15567,https://adezfouli.github.io/materials/dagndc-neurips2019/poster.pdf,,https://vimeo.com/368702071,East Exhibition Hall B + C,Human or Animal Learning
Teaching Multiple Concepts to a Forgetful Learner,Anette Hunziker · Yuxin Chen · Oisin Mac Aodha · Manuel Gomez Rodriguez · Andreas Krause · Pietro Perona · Yisong Yue · Adish Singla,Neuroscience and Cognitive Science,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15567,https://machineteaching.mpi-sws.org/files/papers/hunziker19teaching_neurips-poster.pdf,,,East Exhibition Hall B + C,Human or Animal Learning
Anti-efficient encoding in emergent communication,Rahma Chaabouni · Eugene Kharitonov · Emmanuel Dupoux · Marco Baroni,Neuroscience and Cognitive Science,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15568,http://marcobaroni.org/temp/chaabouni-etal-neurips-2019-anti-efficient-poster.pdf,,,East Exhibition Hall B + C,Language for Cognitive Science
Push-pull Feedback Implements Hierarchical Information Retrieval Efficiently,Xiao Liu · Xiaolong Zou · Zilong Ji · Gengshuo Tian · Yuanyuan Mi · Tiejun Huang · K. Y. Michael Wong · Si Wu,Neuroscience and Cognitive Science,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15569,,https://github.com/XiaoLiu-git/Push-Pull-feedback-for-NIPS2019/blob/master/Push-pull%20Feedback%20Implements%20Hierarchical%20Information%20Retrieval%20Efficiently.pdf,,East Exhibition Hall B + C,Memory
A coupled autoencoder approach for multi-modal analysis of cell types,Rohan Gala · Nathan Gouwens · Zizhen Yao · Agata Budzillo · Osnat Penn · Bosiljka Tasic · Gabe Murphy · Hongkui Zeng · Uygar Sümbül,Neuroscience and Cognitive Science,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15570,https://github.com/AllenInstitute/coupledAE/blob/master/docs/Gala_NeurIPS_2019_poster.pdf,,,East Exhibition Hall B + C,Neuroscience
A neurally plausible model learns successor representations in partially observable environments,Eszter Vértes · Maneesh Sahani,Neuroscience and Cognitive Science,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15570,https://drive.google.com/file/d/1yae37Mdhf6J1mO3iiBliRtm5ZZj_7GBj/view,,,East Exhibition Hall B + C,Neuroscience
Scalable Bayesian inference of dendritic voltage via spatiotemporal recurrent state space models,Ruoxi Sun ·  Ian  Kinsella · Scott Linderman · Liam Paninski,Neuroscience and Cognitive Science,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15570,,https://drive.google.com/open?id=1_snRJdFkoe-Z00JRutnMk_9_vrCqUlg0,,East Exhibition Hall B + C,Neuroscience
Scalable Spike Source Localization in Extracellular Recordings using Amortized Variational Inference,Cole Hurwitz · Kai Xu · Akash Srivastava · Alessio Buccino · Matthias Hennig,Neuroscience and Cognitive Science,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15570,https://github.com/colehurwitz/NeurIPS_Poster/blob/master/NeurIPSLocalizationPoster.pdf,,,East Exhibition Hall B + C,Neuroscience
Weight Agnostic Neural Networks,Adam Gaier · David Ha,Neuroscience and Cognitive Science,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15570,,https://weightagnostic.github.io/slides/wann_slides.pdf,,East Exhibition Hall B + C,Neuroscience
Metamers of neural networks reveal divergence from human perceptual systems,Jenelle Feather · Alex Durango · Ray Gonzalez · Josh McDermott,Neuroscience and Cognitive Science,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15571,http://mcdermottlab.mit.edu/jfeather/model_metamers/neurips2019_metamers_poster.pdf,,,East Exhibition Hall B + C,Perception
Interval timing in deep reinforcement learning agents,Ben Deverett · Ryan Faulkner · Meire Fortunato · Gregory Wayne · Joel Leibo,Neuroscience and Cognitive Science,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15572,,https://drive.google.com/file/d/1vAfJiLpRhFXAUcnFr_DKAHwzvbqPkg4d/view?usp=sharing,,East Exhibition Hall B + C,Problem Solving
From deep learning to mechanistic understanding in neuroscience: the structure of retinal prediction,Hidenori Tanaka · Aran Nayebi · Niru Maheswaranathan · Lane McIntosh · Stephen Baccus · Surya Ganguli,Neuroscience and Cognitive Science,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15573,https://ganguli-lab.github.io/deep-retina-reduction/,,,East Exhibition Hall B + C,Visual Perception
From voxels to pixels and back: Self-supervision in natural-image reconstruction from fMRI,Roman Beliy · Guy Gaziv · Assaf Hoogi · Francesca Strappini · Tal Golan · Michal Irani,Neuroscience and Cognitive Science,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15573,http://www.wisdom.weizmann.ac.il/~vision/ssfmri2im/resources/poster.pdf,,https://www.youtube.com/watch?v=h2JhDAdaa-Q&feature=youtu.be,East Exhibition Hall B + C,Visual Perception
Neural Taskonomy: Inferring the Similarity of Task-Derived Representations from Brain Activity,Yuan Wang · Michael Tarr · Leila Wehbe,Neuroscience and Cognitive Science,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15573,https://ariawang.me/pdf/TaskonomyPoster.pdf,,,East Exhibition Hall B + C,Visual Perception
Perceiving the arrow of time in autoregressive motion,Kristof Meding · Dominik Janzing · Bernhard Schölkopf · Felix A. Wichmann,Neuroscience and Cognitive Science,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15573,https://people.tuebingen.mpg.de/kmeding/JC/neurips_Poster.pdf,,,East Exhibition Hall B + C,Visual Perception
Visual Sequence Learning  in Hierarchical Prediction Networks and Primate Visual Cortex,JIELIN QIU · Ge Huang · Tai Sing Lee,Neuroscience and Cognitive Science,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15573,https://leelabcnbc.github.io/HPNet/,,,East Exhibition Hall B + C,Visual Perception
A Latent Variational Framework for Stochastic Optimization,Philippe Casgrain,Optimization,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15574,https://github.com/p-casgrain/p-casgrain.github.io/blob/master/pdf/poster-stochVarOptim.pdf,,,East Exhibition Hall B + C,Stochastic Optimization
A Stochastic Composite Gradient Method with Incremental Variance Reduction,Junyu Zhang · Lin Xiao,Optimization,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15574,https://www.microsoft.com/en-us/research/uploads/prod/2019/10/NeurIPS2019poster.pdf,,,East Exhibition Hall B + C,Stochastic Optimization
A Universally Optimal Multistage Accelerated Stochastic Gradient Method,Necdet Serhat Aybat · Alireza Fallah · Mert Gurbuzbalaban · Asuman Ozdaglar,Optimization,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15574,https://www.dropbox.com/s/jjdw4lfqk9sspei/Poster_NeurIPS2019.pdf?dl=0,https://www.dropbox.com/s/uymu8jn49gqq87i/Slides_NeurIPS2019.pdf?dl=0,,East Exhibition Hall B + C,Stochastic Optimization
On the convergence of single-call stochastic extra-gradient methods,Yu-Guan Hsieh · Franck Iutzeler · Jérôme Malick · Panayotis Mertikopoulos,Optimization,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15574,,https://www.slideshare.net/YuGuanHsieh/on-the-convergence-of-singlecall-stochastic-extragradient-methods,,East Exhibition Hall B + C,Stochastic Optimization
On the Ineffectiveness of Variance Reduced Optimization for Deep Learning,Aaron Defazio · Leon Bottou,Optimization,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15574,https://www.aarondefazio.com/svrg_poster.pdf,,,East Exhibition Hall B + C,Stochastic Optimization
Principal Component Projection and Regression in Nearly Linear Time through Asymmetric SVRG,Yujia Jin · Aaron Sidford,Optimization,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15574,,https://www.dropbox.com/s/wo9feloo22dgtql/slide_PCR.pdf?dl=0,,East Exhibition Hall B + C,Stochastic Optimization
Understanding the Role of Momentum in Stochastic Gradient Methods,Igor Gitman · Hunter Lang · Pengchuan Zhang · Lin Xiao,Optimization,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15574,https://www.dropbox.com/s/nlxn63gxdtwus2d/momentum-poster.pdf?dl=0,,,East Exhibition Hall B + C,Stochastic Optimization
Adaptive Sequence Submodularity,Marko Mitrovic · Ehsan Kazemi · Moran Feldman · Andreas Krause · Amin Karbasi,Optimization,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15575,https://cpb-us-w2.wpmucdn.com/campuspress.yale.edu/dist/a/1688/files/2019/10/neurips2019.pdf,,,East Exhibition Hall B + C,Submodular Optimization
Fast Decomposable Submodular Function Minimization using Constrained Total Variation,Senanayak Sesh Kumar Karri · Francis Bach · Thomas Pock,Optimization,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15575,,https://github.com/seshkumar/FasterSFMCode/tree/master/presentation,,East Exhibition Hall B + C,Submodular Optimization
Fast Parallel Algorithms for Statistical Subset Selection Problems,Sharon Qian · Yaron Singer,Optimization,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15575,https://easyupload.io/x8mf1a,,,East Exhibition Hall B + C,Submodular Optimization
Interlaced Greedy Algorithm for Maximization of Submodular Functions in Nearly Linear Time,Alan Kuhnle,Optimization,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15575,https://www.alankuhnle.com/slides/nips19poster.pdf,,,East Exhibition Hall B + C,Submodular Optimization
Online Continuous Submodular Maximization: From Full-Information to Bandit Feedback,Mingrui Zhang · Lin Chen · Hamed Hassani · Amin Karbasi,Optimization,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15575,https://github.com/lchen91/Online-Continuous-Submodular-Maximization-From-Full-Information-to-Bandit-Feedback/blob/master/poster.pdf,,,East Exhibition Hall B + C,Submodular Optimization
Stochastic Continuous Greedy ++:  When Upper and Lower Bounds Match,Amin Karbasi · Hamed Hassani · Aryan Mokhtari · Zebang Shen,Optimization,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15575,https://www.dropbox.com/s/chzayzv1br7hz65/conference_poster_6.pdf?dl=0,,,East Exhibition Hall B + C,Submodular Optimization
Submodular Function Minimization with Noisy Evaluation Oracle,Shinji Ito,Optimization,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15575,https://www.dropbox.com/s/lochxupajpvl5uo/NeurIPS2019-poster-submodular-minimization.pdf?dl=0,,,East Exhibition Hall B + C,Submodular Optimization
Optimistic Distributionally Robust Optimization for Nonparametric Likelihood Approximation,Viet Anh Nguyen · Soroosh Shafieezadeh Abadeh · Man-Chung Yue · Daniel Kuhn · Wolfram Wiesemann,Probabilistic Methods,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15576,https://github.com/sorooshafiee/Nonparam_Likelihood,,,East Exhibition Hall B + C,Bayesian Nonparametrics
Low-Complexity Nonparametric Bayesian Online Prediction with Universal Guarantees,Alix LHERITIER · Frederic Cazals,Probabilistic Methods,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15576,https://github.com/alherit/kd-switch/raw/master/poster.pdf,,,East Exhibition Hall B + C,Bayesian Nonparametrics
Random Tessellation Forests,Shufei Ge · Shijia Wang · Yee Whye Teh · Liangliang Wang · Lloyd Elliott,Probabilistic Methods,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15576,,https://www.sfu.ca/~lloyde/Ge2019a-talk.pdf,,East Exhibition Hall B + C,Bayesian Nonparametrics
Fast Convergence of Belief Propagation to Global Optima: Beyond Correlation Decay ,Frederic Koehler,Probabilistic Methods,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15577,,http://math.mit.edu/~fkoehler/neurips2019_slides.pdf,,East Exhibition Hall B + C,Belief Propagation
Hyper-Graph-Network Decoders for Block Codes,Eliya Nachmani · Lior Wolf,Probabilistic Methods,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15577,,https://github.com/enk100/Hyper-Graph-Network-Decoders-for-Block-Codes/blob/master/Hyper-Graph-Network%20Decoders%20for%20Block%20Codes.pdf,,East Exhibition Hall B + C,Belief Propagation
An Algorithm to Learn Polytree Networks with Hidden Nodes,Firoozeh Sepehr · Donatello Materassi,Probabilistic Methods,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15578,http://web.eecs.utk.edu/~fsepehr1/neurips2019/An_Algorithm_to_Learn_Polytree_Networks_with_Hidden_Nodes-poster.pdf,,,East Exhibition Hall B + C,Graphical Models
Approximating the Permanent by Sampling from Adaptive Partitions,Jonathan Kuck · Tri Dao · Hamid Rezatofighi · Ashish Sabharwal · Stefano Ermon,Probabilistic Methods,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15578,https://github.com/ermongroup/permanent_adaptive/blob/master/permanent_adaptive_sampling_poster.pdf,,,East Exhibition Hall B + C,Graphical Models
Bayesian Joint Estimation of Multiple Graphical Models,Lingrui Gan · Xinming Yang · Naveen Narisetty · Feng Liang,Probabilistic Methods,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15578,https://drive.google.com/open?id=1yFnZ3GXVdGlh70KytSl_TH7LEzhGS0xV,,,East Exhibition Hall B + C,Graphical Models
Counting the Optimal Solutions in Graphical Models,Radu Marinescu · Rina Dechter,Probabilistic Methods,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15578,,https://drive.google.com/file/d/102gFoIYHd5uGbNX7DqOBUMa6q1X--paA/view?usp=sharing,,East Exhibition Hall B + C,Graphical Models
Direct Estimation of Differential Functional Graphical Models,Boxin Zhao · Y. Samuel Wang · Mladen Kolar,Probabilistic Methods,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15578,https://github.com/boxinz17/FuDGE/tree/master/poster,,,East Exhibition Hall B + C,Graphical Models
On Tractable Computation of Expected Predictions,Pasha Khosravi · YooJung Choi · Yitao Liang · Antonio Vergari · Guy Van den Broeck,Probabilistic Methods,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15578,http://starai.cs.ucla.edu/publications/files/Poster_KhosraviNeurIPS19.pdf,,,East Exhibition Hall B + C,Graphical Models
Smoothing Structured Decomposable Circuits,Andy Shih · Guy Van den Broeck · Paul Beame · Antoine Amarilli,Probabilistic Methods,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15578,https://github.com/AndyShih12/SSDC/tree/master/AccompanyingMaterial,,,East Exhibition Hall B + C,Graphical Models
Sparse Logistic Regression Learns All Discrete Pairwise Graphical Models,Shanshan Wu · Sujay Sanghavi · Alexandros Dimakis,Probabilistic Methods,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15578,https://github.com/wushanshan/GraphLearn/tree/master/poster,,,East Exhibition Hall B + C,Graphical Models
Structured Graph Learning Via Laplacian Spectral Constraints,Sandeep Kumar ·  Jiaxi  Ying · Jose Vinicius de Miranda Cardoso · Daniel Palomar,Probabilistic Methods,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15578,,https://palomar.home.ece.ust.hk/papers/2019/KumarYingCardosoPalomar-NIPS2019-slides.pdf,https://youtu.be/klAqFvyQx7k,East Exhibition Hall B + C,Graphical Models
Bayesian Learning of Sum-Product Networks,Martin Trapp · Robert Peharz · Hong Ge · Franz Pernkopf · Zoubin Ghahramani,Probabilistic Methods,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15579,https://github.com/trappmartin/posters/blob/master/NeurIPS_2019/poster.pdf,,,East Exhibition Hall B + C,Latent Variable Models
Latent distance estimation for random geometric graphs,Ernesto Araya Valdivia · De Castro Yohann,Probabilistic Methods,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15579,https://github.com/ErnestoArayaValdivia/Graph-estimation/blob/master/NeurIPSposter.pdf,,,East Exhibition Hall B + C,Latent Variable Models
The continuous Bernoulli: fixing a pervasive error in variational autoencoders,Gabriel Loaiza-Ganem · John Cunningham,Probabilistic Methods,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15579,https://github.com/gabloa/cont_bern/blob/master/cb_neurips_poster.pdf,,,East Exhibition Hall B + C,Latent Variable Models
Discriminative Topic Modeling with Logistic LDA,Iryna Korshunova · Hanchen Xiong · Mateusz Fedoryszak · Lucas Theis,Probabilistic Methods,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15580,https://irakorshunova.github.io/logistic_lda_poster.pdf,,,East Exhibition Hall B + C,Topic Models
Precision-Recall Balanced Topic Modelling,Seppo Virtanen · Mark Girolami,Probabilistic Methods,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15580,https://iconicmath.org/publications/,,,East Exhibition Hall B + C,Topic Models
Scalable inference of topic evolution via models for latent geometric structures,Mikhail Yurochkin · Zhiwei Fan · Aritra Guha · Paraschos Koutris · XuanLong Nguyen,Probabilistic Methods,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15580,https://github.com/moonfolk/SDDM/blob/master/poster.pdf,,,East Exhibition Hall B + C,Topic Models
Compositional Plan Vectors,Coline Devin · Daniel Geng · Pieter Abbeel · Trevor Darrell · Sergey Levine,Reinforcement Learning and Planning,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15581,,https://sites.google.com/berkeley.edu/compositionalplanvectors/,,East Exhibition Hall B + C,Decision and Control
Online Optimal Control with Linear Dynamics and Predictions: Algorithms and Regret Analysis,Yingying Li · Xin Chen · Na Li,Reinforcement Learning and Planning,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15581,,https://drive.google.com/open?id=1j_EKJ2v_niRUGLde77idF-8kyaIgGdAA,,East Exhibition Hall B + C,Decision and Control
Policy Optimization Provably Converges to Nash Equilibria in Zero-Sum Linear Quadratic Games,Kaiqing Zhang · Zhuoran Yang · Tamer Basar,Reinforcement Learning and Planning,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15581,,https://www.dropbox.com/sh/jbj5dwmpu8ljzgp/AAA4pMlrf27j10WCUeRg8um1a?dl=0,,East Exhibition Hall B + C,Decision and Control
Policy Continuation with Hindsight Inverse Dynamics,Hao Sun · Zhizhong Li · Xiaotong Liu · Bolei Zhou · Dahua Lin,Reinforcement Learning and Planning,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15581,https://sites.google.com/view/neurips2019pchid/,https://sites.google.com/view/neurips2019pchid/,,East Exhibition Hall B + C,Decision and Control
DAC: The Double Actor-Critic Architecture for Learning Options,Shangtong Zhang · Shimon Whiteson,Reinforcement Learning and Planning,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15582,,https://drive.google.com/open?id=1urF4Wet8s7jdoev52Qmng5sdOFfYUHRa,,East Exhibition Hall B + C,Hierarchical RL
Hierarchical Reinforcement Learning with Advantage-Based Auxiliary Rewards,Siyuan Li · Rui Wang · Minxue Tang · Chongjie Zhang,Reinforcement Learning and Planning,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15582,https://drive.google.com/file/d/1SSvkVX_9nKIdhriHmqXeZKyNtuqGpBHc/view?usp=sharing,https://drive.google.com/file/d/1h3izY1z51q_bnaEpTHNopI26DfE3tQNa/view?usp=sharing,,East Exhibition Hall B + C,Hierarchical RL
Language as an Abstraction for Hierarchical Deep Reinforcement Learning,YiDing Jiang · Shixiang (Shane) Gu · Kevin Murphy · Chelsea Finn,Reinforcement Learning and Planning,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15582,https://drive.google.com/open?id=1VMP42q8vlZMsAkS4ZcjkyQ4IYNjF5rOJ,https://drive.google.com/open?id=1rFzT0sIcqXD1iHITTb9QMJ1fB9x6c1-F,https://drive.google.com/open?id=1tvJ6CsEdskbRIA2BFLxSgDqjbm1BaaRt,East Exhibition Hall B + C,Hierarchical RL
Learning Robust Options by Conditional Value at Risk Optimization,Takuya Hiraoka · Takahisa Imagawa · Tatsuya Mori · Takashi Onishi · Yoshimasa Tsuruoka,Reinforcement Learning and Planning,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15582,https://drive.google.com/open?id=1fINDAh_Vvrr_GJZQFWK-Q7DgUV497cQ5,,https://drive.google.com/file/d/1DRmIaK5VomCey70rKD_5DgX2Jm_1rFlo/view,East Exhibition Hall B + C,Hierarchical RL
The Option Keyboard: Combining Skills in Reinforcement Learning,Andre Barreto · Diana Borsa · Shaobo Hou · Gheorghe Comanici · Eser Aygün · Philippe Hamel · Daniel Toyama · Jonathan hunt · Shibl Mourad · David Silver · Doina Precup,Reinforcement Learning and Planning,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15582,https://drive.google.com/open?id=1MV7YGjqyTAWUiIP3WMQjLvosysWSR_6r,https://drive.google.com/open?id=132ZlpRjUjE9Gts0_yTGqalV-fdpmvrjX,,East Exhibition Hall B + C,Hierarchical RL
A Geometric Perspective on Optimal Representations for Reinforcement Learning,Marc Bellemare · Will Dabney · Robert Dadashi · Adrien Ali Taiga · Pablo Samuel Castro · Nicolas Le Roux · Dale Schuurmans · Tor Lattimore · Clare Lyle,Reinforcement Learning and Planning,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15583,,https://drive.google.com/open?id=1FMztd7rcijrfd-pBvKnZOknRyg8aKeAo,,East Exhibition Hall B + C,Reinforcement Learning
A Regularized Approach to Sparse Optimal Policy in Reinforcement Learning,Wenhao Yang · Xiang Li · Zhihua Zhang,Reinforcement Learning and Planning,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15583,https://drive.google.com/open?id=1vU8hX5jXpT_gwmkq3nSQ5T0DskNG8HJt,,,East Exhibition Hall B + C,Reinforcement Learning
Constrained Reinforcement Learning Has Zero Duality Gap,Santiago Paternain · Luiz Chamon · Miguel Calvo-Fullana · Alejandro Ribeiro,Reinforcement Learning and Planning,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15583,https://www.seas.upenn.edu/~spater/assets/posters/neurips2019.pdf,,,East Exhibition Hall B + C,Reinforcement Learning
Distributional Reward Decomposition for Reinforcement Learning,Zichuan Lin · Li Zhao · Derek Yang · Tao Qin · Tie-Yan Liu · Guangwen Yang,Reinforcement Learning and Planning,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15583,,https://drive.google.com/file/d/1e_9XmVnn0v7roSx0b4wnKJyFryTIAPKq/view,,East Exhibition Hall B + C,Reinforcement Learning
Divergence-Augmented Policy Optimization,Qing Wang · Yingru Li · Jiechao Xiong · Tong Zhang,Reinforcement Learning and Planning,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15583,https://github.com/lns/dapo-poster/raw/master/dapo-poster.pdf,,,East Exhibition Hall B + C,Reinforcement Learning
DualDICE: Behavior-Agnostic Estimation of Discounted Stationary Distribution Corrections,Ofir Nachum · Yinlam Chow · Bo Dai · Lihong Li,Reinforcement Learning and Planning,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15583,https://drive.google.com/file/d/1viNewVfrZD9Nn-uPeVVLJVuZOGxZhfKt/view?usp=sharing,,,East Exhibition Hall B + C,Reinforcement Learning
Fast Efficient Hyperparameter Tuning for Policy Gradient Methods,Supratik Paul · Vitaly Kurin · Shimon Whiteson,Reinforcement Learning and Planning,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15583,https://github.com/supratikp/HOOF/blob/master/HOOF_poster.pdf,,,East Exhibition Hall B + C,Reinforcement Learning
Finite-Time Performance Bounds and Adaptive Learning Rate Selection for Two Time-Scale Reinforcement Learning,Harsh Gupta · R. Srikant · Lei Ying,Reinforcement Learning and Planning,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15583,https://drive.google.com/file/d/1VUfNnbIwGttFNU7d-Dt9LC3MtgtmFmsd/view,,,East Exhibition Hall B + C,Reinforcement Learning
Fully Parameterized Quantile Function for Distributional Reinforcement Learning,Derek Yang · Li Zhao · Zichuan Lin · Tao Qin · Jiang Bian · Tie-Yan Liu,Reinforcement Learning and Planning,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15583,,https://docs.google.com/presentation/d/1expvzpQkWB5hKaxqAT-zji7QzgDtVYyq8SmW0MAp7bk/edit?usp=sharing,,East Exhibition Hall B + C,Reinforcement Learning
"Intrinsically Efficient, Stable, and Bounded Off-Policy Evaluation for Reinforcement Learning",Nathan Kallus · Masatoshi Uehara,Reinforcement Learning and Planning,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15583,https://github.com/masa-ue/neurips/blob/master/poster_neurips.pdf,,,East Exhibition Hall B + C,Reinforcement Learning
Learning Reward Machines for Partially Observable Reinforcement Learning,Rodrigo Toro Icarte · Ethan Waldie · Toryn Klassen · Rick Valenzano · Margarita Castro · Sheila McIlraith,Reinforcement Learning and Planning,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15583,http://www.cs.toronto.edu/~rntoro/docs/LRM_poster.pdf,http://www.cs.toronto.edu/~rntoro/docs/LRM_slides.pdf,,East Exhibition Hall B + C,Reinforcement Learning
Off-Policy Evaluation via Off-Policy Classification,Alexander Irpan · Kanishka Rao · Konstantinos Bousmalis · Chris Harris · Julian Ibarz · Sergey Levine,Reinforcement Learning and Planning,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15583,https://drive.google.com/file/d/1hidBbfdTVXBwSjAldLm3K_4ki7ZYAirw/view?usp=sharing,https://drive.google.com/file/d/1a01hVcx5oSy9YWte7_YTQ9XG9rnYan0F/view?usp=sharing,,East Exhibition Hall B + C,Reinforcement Learning
SMILe: Scalable Meta Inverse Reinforcement Learning through Context-Conditional Policies,Seyed Kamyar Seyed Ghasemipour · Shixiang (Shane) Gu · Richard Zemel,Reinforcement Learning and Planning,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15583,,https://drive.google.com/file/d/1Rof5h30iPiVYL8GaWYJUWRA4Zuv49rvJ/view?usp=sharing,,East Exhibition Hall B + C,Reinforcement Learning
Variance Reduced Policy Evaluation with Smooth Function Approximation,Hoi-To Wai · Mingyi Hong · Zhuoran Yang · Zhaoran Wang · Kexin Tang,Reinforcement Learning and Planning,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15583,http://www1.se.cuhk.edu.hk/~htwai/pdf/poster_NonlinearNeurIPS19.pdf,,,East Exhibition Hall B + C,Reinforcement Learning
VIREL: A Variational Inference Framework for Reinforcement Learning,Matthew Fellows · Anuj Mahajan · Tim G. J. Rudner · Shimon Whiteson,Reinforcement Learning and Planning,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15583,,https://github.com/Mattief/VIREL,,East Exhibition Hall B + C,Reinforcement Learning
A Robust Non-Clairvoyant Dynamic Mechanism for Contextual Auctions,Yuan Deng · Sébastien Lahaie · Vahab Mirrokni,Theory,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15584,https://drive.google.com/file/d/1-mu4e_sX9OXmWakUsStiml6Yx13xnFP3/view?usp=sharing,,,East Exhibition Hall B + C,Game Theory and Computational Economics
Equitable Stable Matchings in Quadratic Time,Nikolaos Tziavelis · Ioannis Giannakopoulos · Katerina Doka · Nectarios Koziris · Panagiotis Karras,Theory,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15584,https://1drv.ms/b/s!AkkmaJOxyWnpgRk7JGIesbLkUvf3,https://www.dropbox.com/s/vkuifhpudcevqsf/esmqt%20slides.pdf,,East Exhibition Hall B + C,Game Theory and Computational Economics
Fast and Furious Learning in Zero-Sum Games: Vanishing Regret with Non-Vanishing Step Sizes,James Bailey · Georgios Piliouras,Theory,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15584,http://www.jamespbailey.com/FastAndFuriousGD.html,,,East Exhibition Hall B + C,Game Theory and Computational Economics
Learning Auctions with Robust Incentive Guarantees,Jacob Abernethy · Rachel Cummings · Bhuvesh Kumar · Sam Taggart · Jamie Morgenstern,Theory,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15584,http://bhuveshkumar.com/pdf/LearnAuction_poster.pdf,,,East Exhibition Hall B + C,Game Theory and Computational Economics
Optimal Pricing in Repeated Posted-Price Auctions with Different Patience of the Seller and the Buyer,Arsenii Vanunts · Alexey Drutsa,Theory,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15584,https://github.com/theonlybars/Neurips-2019-rppa,,,East Exhibition Hall B + C,Game Theory and Computational Economics
Optimistic Regret Minimization for Extensive-Form Games via Dilated Distance-Generating Functions,Gabriele Farina · Christian Kroer · Tuomas Sandholm,Theory,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15584,,http://www.cs.cmu.edu/~gfarina/2019/optimistic-dgf-neurips19/slides.pdf,,East Exhibition Hall B + C,Game Theory and Computational Economics
An Embedding Framework for Consistent Polyhedral Surrogates,Jessica Finocchiaro · Rafael Frongillo · Bo Waggoner,Theory,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15585,https://jfinocchiaro.github.io/talks/poly-embed-neurips19,https://jfinocchiaro.github.io/talks/poly-embed-neurips19,,East Exhibition Hall B + C,Learning Theory
Covariate-Powered Empirical Bayes Estimation,Nikolaos Ignatiadis · Stefan Wager,Theory,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15585,,https://nignatiadis.github.io/assets/talks/neurips_2019_covariate_ebayes.pdf,,East Exhibition Hall B + C,Learning Theory
Learning Bayesian Networks with Low Rank Conditional Probability Tables,Adarsh Barik · Jean Honorio,Theory,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15585,https://www.cs.purdue.edu/homes/abarik/nips2019_poster.pdf,,,East Exhibition Hall B + C,Learning Theory
Learning to Screen,Alon Cohen · Avinatan Hassidim · Haim Kaplan · Yishay Mansour · Shay Moran,Theory,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15585,,https://www.dropbox.com/s/885l1itnjkzmlwn/slides.pdf?dl=0,,East Exhibition Hall B + C,Learning Theory
Limits of Private Learning with Access to Public Data,Raef Bassily · Shay Moran · Noga  Alon,Theory,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15585,https://bit.ly/32PiFnq,,,East Exhibition Hall B + C,Learning Theory
Multiclass Performance Metric Elicitation,Gaurush Hiranandani · Shant Boodaghians · Ruta Mehta · Oluwasanmi Koyejo,Theory,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15585,https://drive.google.com/drive/folders/1AWZ6xvSUwNGQYeYzI2yf-MYPvgnba8YJ?usp=sharing,https://drive.google.com/drive/folders/1AWZ6xvSUwNGQYeYzI2yf-MYPvgnba8YJ?usp=sharing,https://drive.google.com/drive/folders/1AWZ6xvSUwNGQYeYzI2yf-MYPvgnba8YJ?usp=sharing,East Exhibition Hall B + C,Learning Theory
On the Value of Target Data in Transfer Learning,Steve Hanneke · Samory Kpotufe,Theory,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15585,http://www.stevehanneke.com/docs/2019/ERM_Transfer_poster.pdf,,,East Exhibition Hall B + C,Learning Theory
Outlier-Robust High-Dimensional Sparse Estimation via Iterative Filtering,Ilias Diakonikolas · Daniel Kane · Sushrut Karmalkar · Eric Price · Alistair Stewart,Theory,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15585,https://drive.google.com/open?id=1FOGqBX0YmUhjz9_OCbQPo3d_rHQCW4_t,,,East Exhibition Hall B + C,Learning Theory
Preference-Based Batch and Sequential Teaching: Towards a Unified View of Models,Farnam Mansouri · Yuxin Chen · Ara Vartanian · Jerry Zhu · Adish Singla,Theory,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15585,https://machineteaching.mpi-sws.org/files/papers/mansouri19preference_neurips-poster.pdf,,,East Exhibition Hall B + C,Learning Theory
Rates of Convergence for Large-scale Nearest Neighbor Classification,Xingye Qiao · Jiexin Duan · Guang Cheng,Theory,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15585,https://github.com/duanjiexin/bigNN/blob/master/bigNN_poster.pdf,,,East Exhibition Hall B + C,Learning Theory
"What Can ResNet Learn Efficiently, Going Beyond Kernels?",Zeyuan Allen-Zhu · Yuanzhi Li,Theory,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15585,http://people.csail.mit.edu/zeyuan/paper/2019-NeurIPS-resnet.pdf,,,East Exhibition Hall B + C,Learning Theory
Faster width-dependent algorithm for mixed packing and covering LPs,Digvijay Boob · Saurabh Sawlani · Di Wang,Theory,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15586,https://www.dropbox.com/s/s3bjgzxvg46do2x/NeurIPS-MPC.pdf?dl=0,,,East Exhibition Hall B + C,Regularization
First order expansion of convex regularized estimators,Pierre Bellec · Arun Kuchibhotla,Theory,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15586,,https://bellecp.github.io/first-order-expansion-Kumar-Bellec/nips-poster.pdf,,East Exhibition Hall B + C,Regularization
On the number of variables to use in principal component regression,Ji Xu · Daniel Hsu,Theory,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15586,http://www.cs.columbia.edu/~djhsu/papers/pcr-poster.pdf,,,East Exhibition Hall B + C,Regularization
Implicit Regularization for Optimal Sparse Recovery,Tomas Vaskevicius · Varun Kanade · Patrick Rebeschini,Theory,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15586,https://github.com/TomasVaskevicius/implicit_sparsity_neurips2019,,,East Exhibition Hall B + C,Regularization
The Convergence Rate of Neural Networks for Learned Functions of Different Frequencies,Basri Ronen · David Jacobs · Yoni Kasten · Shira Kritchman,Theory,Poster,Wed Dec 11th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15586,,http://www.cs.umd.edu/~djacobs/ConvergenceRateNeurips2019.pdf,,East Exhibition Hall B + C,Regularization
Improved Regret Bounds for Bandit Combinatorial Optimization,Shinji Ito · Daisuke Hatano · Hanna Sumita · Kei Takemura · Takuro Fukunaga · Naonori Kakimura · Ken-Ichi Kawarabayashi,Algorithms,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15587,https://www.dropbox.com/s/0cy8cvv41om1kew/NeurIPS2019-poster-improved-regret.pdf?dl=0,,,East Exhibition Hall B + C,Bandit Algorithms
Learning in Generalized  Linear Contextual Bandits with Stochastic Delays,Zhengyuan Zhou · Renyuan Xu · Jose Blanchet,Algorithms,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15587,,https://www.dropbox.com/s/pdar8jh7cfkkiht/delay.pdf?dl=0,,East Exhibition Hall B + C,Bandit Algorithms
Low-Rank Bandit Methods for High-Dimensional Dynamic Pricing,Jonas Mueller · Vasilis Syrgkanis · Matt Taddy,Algorithms,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15587,https://jwmueller.github.io/BanditDynamicPricing/,,,East Exhibition Hall B + C,Bandit Algorithms
MaxGap Bandit: Adaptive Algorithms for Approximate Ranking,Sumeet Katariya · Ardhendu Tripathy · Robert Nowak,Algorithms,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15587,https://sumeetsk.github.io/files/maxgapposter.pdf,,,East Exhibition Hall B + C,Bandit Algorithms
Model Selection for Contextual Bandits,Dylan Foster · Akshay Krishnamurthy · Haipeng Luo,Algorithms,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15587,https://dylanfoster.net/posters/cbmodels_neurips2019.pdf,,,East Exhibition Hall B + C,Bandit Algorithms
No-Regret Learning in Unknown Games with Correlated Payoffs,Pier Giuseppe Sessa · Ilija Bogunovic · Maryam Kamgarpour · Andreas Krause,Algorithms,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15587,https://docdro.id/xADjAJO,,,East Exhibition Hall B + C,Bandit Algorithms
Nonparametric Contextual Bandits in Metric Spaces with Unknown Metric,Nirandika Wanigasekara · Christina Yu,Algorithms,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15587,,https://people.orie.cornell.edu/cleeyu/ApproxZooming_Neurips.pdf,,East Exhibition Hall B + C,Bandit Algorithms
Pure Exploration with Multiple Correct Answers,Rémy Degenne · Wouter Koolen,Algorithms,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15587,,http://wouterkoolen.info/Talks/2019-03-22.pdf,,East Exhibition Hall B + C,Bandit Algorithms
Recovering Bandits,Ciara Pike-Burke · Steffen Grunewalder,Algorithms,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15587,https://drive.google.com/open?id=1IHCYJC7h3fMhm-yWiruf5_uXsQZJacDf,,,East Exhibition Hall B + C,Bandit Algorithms
Sequential Experimental Design for Transductive Linear Bandits,Lalit Jain · Kevin Jamieson · Tanner Fiez · Lillian Ratliff,Algorithms,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15587,,http://lalitjain.com/files/linear_bandits.pdf,,East Exhibition Hall B + C,Bandit Algorithms
SIC-MMAB: Synchronisation Involves Communication in Multiplayer Multi-Armed Bandits,Etienne Boursier · Vianney Perchet,Algorithms,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15587,https://eboursier.github.io/files/NeurIPS19-poster1.pdf,https://eboursier.github.io/files/2019-12-11-sicmmab.pdf,,East Exhibition Hall B + C,Bandit Algorithms
Are sample means in multi-armed bandits positively or negatively biased? ,Jaehyeok Shin · Aaditya Ramdas · Alessandro Rinaldo,Algorithms,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15587,https://www.dropbox.com/s/7493eta2qb34tv3/shin_et_al_NeurIPS2019_poster.pdf?dl=0,,,East Exhibition Hall B + C,Bandit Algorithms
Classification-by-Components: Probabilistic Modeling of Reasoning over a Set of Components,Sascha Saralajew · Lars Holdijk · Maike Rees · Ebubekir Asan · Thomas Villmann,Algorithms,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15588,http://tiny.cc/cbc_supplementary,,,East Exhibition Hall B + C,Classification
Multilabel reductions: what is my loss optimising?,Aditya Menon · Ankit Singh Rawat · Sashank Reddi · Sanjiv Kumar,Algorithms,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15588,,https://akmenon.github.io/papers/multilabel_reductions/multilabel_slides.pdf,,East Exhibition Hall B + C,Classification
Optimal Sparse Decision Trees,Xiyang Hu · Cynthia Rudin · Margo Seltzer,Algorithms,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15588,https://github.com/xiyanghu/OSDT/blob/master/doc/OSDT_NIPS_Poster.pdf,https://github.com/xiyanghu/OSDT/blob/master/doc/NeurIPSSlides.pdf,https://www.youtube.com/watch?v=UMjMQaH508M&feature=youtu.be,East Exhibition Hall B + C,Classification
 Markov Random Fields for Collaborative Filtering,Harald Steck,Algorithms,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15589,https://github.com/hasteck/MRF_NeurIPS_2019/blob/master/poster_NeurIPS_2019.pdf,,,East Exhibition Hall B + C,Collaborative Filtering
Regularized Weighted Low Rank Approximation,Frank Ban · David Woodruff · Richard Zhang,Algorithms,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15589,https://docs.google.com/presentation/d/1FgVpZPVhul8IxCKen52mH60jqgPeljmCmsP6T_DS1hw/edit?usp=sharing&urp=gmail_link,,,East Exhibition Hall B + C,Collaborative Filtering
Adaptive Cross-Modal Few-shot Learning,Chen Xing · Negar Rostamzadeh · Boris Oreshkin · Pedro O. Pinheiro,Algorithms,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15590,,https://drive.google.com/file/d/1Hl4ipAo9dmKDQ3TAjYW5B6Jqbw7R_kCw/view?usp=sharing,,East Exhibition Hall B + C,Few-Shot Learning
Cross Attention Network for Few-shot Classification,Ruibing Hou · Hong Chang · Bingpeng MA · Shiguang Shan · Xilin Chen,Algorithms,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15590,https://drive.google.com/file/d/1jkRfm8YiAbKU6nSr9SrlcGrAYLLQfl-d/view?usp=sharing,,,East Exhibition Hall B + C,Few-Shot Learning
Incremental Few-Shot Learning with Attention Attractor Networks,Mengye Ren · Renjie Liao · Ethan Fetaya · Richard Zemel,Algorithms,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15590,https://drive.google.com/file/d/1OivnrLxibAf-j28o01F7rjds8f2-3Jc2/view?usp=sharing,,,East Exhibition Hall B + C,Few-Shot Learning
Learning to Self-Train for Semi-Supervised Few-Shot Classification,Xinzhe Li · Qianru Sun · Yaoyao Liu · Qin Zhou · Shibao Zheng · Tat-Seng Chua · Bernt Schiele,Algorithms,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15590,https://drive.google.com/drive/folders/19-AqkFyyByf_1TPqzbaNBe06SZtTb9PG?usp=sharing,https://drive.google.com/drive/folders/19-AqkFyyByf_1TPqzbaNBe06SZtTb9PG?usp=sharing,,East Exhibition Hall B + C,Few-Shot Learning
Meta-Reinforced Synthetic Data for One-Shot Fine-Grained Visual Recognition,Satoshi Tsutsui · Yanwei Fu · David Crandall,Algorithms,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15590,,http://vision.soic.indiana.edu/metairnet/,,East Exhibition Hall B + C,Few-Shot Learning
Transductive Zero-Shot Learning with Visual Structure Constraint,Ziyu Wan · Dongdong Chen · Yan Li · Xingguang Yan · Junge Zhang · Yizhou Yu · Jing Liao,Algorithms,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15590,http://raywzy.com/POSTER.pdf,,,East Exhibition Hall B + C,Few-Shot Learning
Unsupervised Meta-Learning for Few-Shot Image Classification,Siavash Khodadadeh · Ladislau Boloni · Mubarak Shah,Algorithms,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15590,https://github.com/siavash-khodadadeh/MetaLearning-TF2.0/raw/master/UMTRA_Paper/Poster.pdf,https://github.com/siavash-khodadadeh/MetaLearning-TF2.0/raw/master/UMTRA_Paper/Presentation.pdf,https://github.com/siavash-khodadadeh/MetaLearning-TF2.0/raw/master/UMTRA_Paper/VideoPresentation.mp4,East Exhibition Hall B + C,Few-Shot Learning
Zero-shot Learning via Simultaneous Generating and Learning,Hyeonwoo Yu · Beomhee Lee,Algorithms,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15590,https://drive.google.com/file/d/18g2Z7WqzXmqDYp0sAsFmL10izSxuHsv2/view?usp=drivesdk,,,East Exhibition Hall B + C,Few-Shot Learning
Efficient Meta Learning via Minibatch Proximal Update,Pan Zhou · Xiaotong Yuan · Huan Xu · Shuicheng Yan · Jiashi Feng,Algorithms,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15591,https://panzhous.github.io/,,,East Exhibition Hall B + C,Meta-Learning
Fast and Flexible Multi-Task Classification using Conditional Neural Adaptive Processes,James Requeima · Jonathan Gordon · John Bronskill · Sebastian Nowozin · Richard Turner,Algorithms,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15591,,https://github.com/cambridge-mlg/cnaps/blob/master/slide_decks/CNAPs_Slides.pdf,,East Exhibition Hall B + C,Meta-Learning
Learning to Learn By Self-Critique,Antreas Antoniou · Amos Storkey,Algorithms,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15591,https://antreasantoniou.github.io/documents/Learning_to_learn_via_Self_Critique_poster.pdf,,,East Exhibition Hall B + C,Meta-Learning
MetaInit: Initializing learning by learning to initialize,Yann Dauphin · Samuel Schoenholz,Algorithms,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15591,,https://docs.google.com/presentation/d/e/2PACX-1vTgPThIewbjeOeMeM5nazSPVYPUW3Q7cWDGcOPiIdYhcgpaIvGmv5YLf4gz0bk4l8pQXMj8FOAbUz41/pub?start=false&loop=false&delayms=3000,,East Exhibition Hall B + C,Meta-Learning
Metalearned Neural Memory,Tsendsuren Munkhdalai · Alessandro Sordoni · TONG WANG · Adam Trischler,Algorithms,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15591,,https://drive.google.com/file/d/1m3cVm4CZ29U4FQqtCSSj0OG7KNoNyja6/view,,East Exhibition Hall B + C,Meta-Learning
Multimodal Model-Agnostic Meta-Learning via Task-Aware Modulation,Risto Vuorio · Shao-Hua Sun · Hexiang Hu · Joseph Lim,Algorithms,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15591,https://vuoristo.github.io/MMAML/mmaml_poster.pdf,https://vuoristo.github.io/MMAML/mmaml_slides.pdf,,East Exhibition Hall B + C,Meta-Learning
Neural Relational Inference with Fast Modular Meta-learning,Ferran Alet · Erica Weng · Tomás Lozano-Pérez · Leslie Kaelbling,Algorithms,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15591,http://lis.csail.mit.edu/alet/NRI_modular_metalearning_poster.pdf,http://lis.csail.mit.edu/alet/NRI_modular_metalearning_slides.pdf,,East Exhibition Hall B + C,Meta-Learning
Online-Within-Online Meta-Learning,Giulia Denevi · Dimitris Stamos · Carlo Ciliberto · Massimiliano Pontil,Algorithms,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15591,https://drive.google.com/open?id=1iL29odNewFflmDG5IVLMZUitMiWEOCsu,,,East Exhibition Hall B + C,Meta-Learning
Learning to Optimize in Swarms,Yue Cao · Tianlong Chen · Zhangyang Wang · Yang Shen,Algorithms,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15591,https://github.com/Shen-Lab/LOIS/blob/master/LOIS-poster-NeurIPS2019.pdf,,,East Exhibition Hall B + C,Meta-Learning
Unsupervised Curricula for Visual Meta-Reinforcement Learning,Allan Jabri · Kyle Hsu · Abhishek Gupta · Ben Eysenbach · Sergey Levine · Chelsea Finn,Algorithms,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15591,https://github.com/ajabri/ajabri.github.io/raw/master/files/neurips2019.poster.draft.pdf,https://github.com/ajabri/ajabri.github.io/raw/master/files/neurips2019.slides.pdf,,East Exhibition Hall B + C,Meta-Learning
Curvilinear Distance Metric Learning,Shuo Chen · Lei Luo · Jian Yang · Chen Gong · Jun Li · Heng Huang,Algorithms,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15592,,https://drive.google.com/file/d/1fnPkWQd4iGGfZ-TvgdyHpb8EL36plS2-/view?usp=sharing,,East Exhibition Hall B + C,Metric Learning
Fast Low-rank Metric Learning for Large-scale and High-dimensional Data,Han Liu · Zhizhong Han · Yu-Shen Liu · Ming Gu,Algorithms,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15592,https://drive.google.com/open?id=1vOHuJWDBRdgP7D6idbzAQB0eWIbrsK2s,,,East Exhibition Hall B + C,Metric Learning
Metric Learning for Adversarial Robustness,Chengzhi Mao · Ziyuan Zhong · Junfeng Yang · Carl Vondrick · Baishakhi Ray,Algorithms,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15592,www.cs.columbia.edu/~mcz/publication/TLA-poster.pdf,,,East Exhibition Hall B + C,Metric Learning
Catastrophic Forgetting Meets Negative Transfer: Batch Spectral Shrinkage for Safe Transfer Learning,Xinyang Chen · Sinan Wang · Bo Fu · Mingsheng Long · Jianmin Wang,Algorithms,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15593,,https://github.com/chenxinyang123/Batch-Spectral-Shrinkage-slides,,East Exhibition Hall B + C,Multitask and Transfer Learning
Continual Unsupervised Representation Learning,Dushyant Rao · Francesco Visin · Andrei Rusu · Razvan Pascanu · Yee Whye Teh · Raia Hadsell,Algorithms,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15593,,http://s000.tinyupload.com/index.php?file_id=00004517247848646156,,East Exhibition Hall B + C,Multitask and Transfer Learning
Gradient based sample selection for online continual learning ,Rahaf Aljundi · Min Lin · Baptiste Goujaud · Yoshua Bengio,Algorithms,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15593,,http://homes.esat.kuleuven.be/~raljundi/Gradient%20based%20sample%20selection%20for%20online%20continual%20learning.pdf,,East Exhibition Hall B + C,Multitask and Transfer Learning
Learning New Tricks From Old Dogs: Multi-Source Transfer Learning From Pre-Trained Networks,Joshua Lee · Prasanna Sattigeri · Gregory Wornell,Algorithms,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15593,http://www.mit.edu/~jk_lee/Lee_NeurIPS_2019.pdf,,,East Exhibition Hall B + C,Multitask and Transfer Learning
Learning Sample-Specific Models with Low-Rank Personalized Regression,Ben Lengerich · Bryon Aragam · Eric Xing,Algorithms,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15593,https://www.dropbox.com/sh/vr2nig3yll29ud4/AAC4CLhsqR9b1rJ3wO-GIki5a?dl=0,,,East Exhibition Hall B + C,Multitask and Transfer Learning
MCP: Learning Composable Hierarchical Control with Multiplicative Compositional Policies,Xue Bin Peng · Michael Chang · Grace Zhang · Pieter Abbeel · Sergey Levine,Algorithms,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15593,,,https://youtu.be/HLD6H2eJK1E,East Exhibition Hall B + C,Multitask and Transfer Learning
Transfer Anomaly Detection by Inferring Latent Domain Representations,Atsutoshi Kumagai · Tomoharu Iwata · Yasuhiro Fujiwara,Algorithms,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15593,,https://drive.google.com/file/d/16itjhhehwiOhp9wve4IZB5j-0RK3r_pg/view?usp=sharing,,East Exhibition Hall B + C,Multitask and Transfer Learning
Transferable Normalization: Towards Improving Transferability of Deep Neural Networks,Ximei Wang · Ying Jin · Mingsheng Long · Jianmin Wang · Michael Jordan,Algorithms,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15593,http://ise.thss.tsinghua.edu.cn/~mlong/doc/transnorm-poster-neurips19.pdf,,,East Exhibition Hall B + C,Multitask and Transfer Learning
Uncertainty-based Continual Learning with Adaptive Regularization,Hongjoon Ahn · Sungmin Cha · Donggyu Lee · Taesup Moon,Algorithms,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15593,https://github.com/csm9493/UCL/blob/master/links/NeurIPS2019_UCL_poster.pdf,,https://sites.google.com/view/project-page-of-ucl,East Exhibition Hall B + C,Multitask and Transfer Learning
Bandits with Feedback Graphs and Switching Costs,Raman Arora · Teodor Vanislavov Marinov · Mehryar Mohri,Algorithms,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15594,https://www.dropbox.com/s/yld8wlz4m8yzsvq/Policy_regret_and_feedback_graphs_NeurIPS_2019_Poster.pdf?dl=0,,,East Exhibition Hall B + C,Online Learning
Batched Multi-armed Bandits Problem,Zijun Gao · Yanjun Han · Zhimei Ren · Zhengqing Zhou,Algorithms,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15594,http://web.stanford.edu/~yjhan/batched_bandit_poster.pdf,http://web.stanford.edu/~yjhan/batched_bandit_slides.pdf,,East Exhibition Hall B + C,Online Learning
Beyond Online Balanced Descent: An Optimal Algorithm for Smoothed Online Optimization,Gautam Goel · Yiheng Lin · Haoyuan Sun · Adam Wierman,Algorithms,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15594,https://github.com/gautamcgoel/NeurIPS2019Poster,,,East Exhibition Hall B + C,Online Learning
Equipping Experts/Bandits with Long-term Memory,Kai Zheng · Haipeng Luo · Ilias Diakonikolas · Liwei Wang,Algorithms,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15594,https://drive.google.com/open?id=1F4CBuyd9Bx4u4cQKLpu5ZjLp7YTPdRkj,,,East Exhibition Hall B + C,Online Learning
Large Scale Markov Decision Processes with Changing Rewards,Adrian Rivera Cardoso · He Wang · Huan Xu,Algorithms,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15594,,https://drive.google.com/open?id=1tq9kayha2iKv_VzPLTMw8d_YRksROcUs,,East Exhibition Hall B + C,Online Learning
Online Learning via the Differential Privacy Lens,Jacob Abernethy · Young Hun Jung · Chansoo Lee · Audra McMillan · Ambuj Tewari,Algorithms,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15594,https://drive.google.com/file/d/1VVsZEXOXgwWwrS5XlX95r8XBzAtvlL9l/view?usp=sharing,,,East Exhibition Hall B + C,Online Learning
Online Normalization for Training Neural Networks,Vitaliy Chiley · Ilya Sharapov · Atli Kosson · Urs Koster · Ryan Reece · Sofia Samaniego de la Fuente · Vishal Subbiah · Michael James,Algorithms,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15594,https://github.com/Cerebras/online-normalization/blob/master/poster/poster.pdf,,,East Exhibition Hall B + C,Online Learning
Online Prediction of Switching Graph Labelings with Cluster Specialists,Mark Herbster · James Robinson,Algorithms,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15594,http://www.cs.ucl.ac.uk/staff/M.Herbster/pubs/cluster-specialists.pdf,,,East Exhibition Hall B + C,Online Learning
Secretary Ranking with Minimal Inversions,Sepehr Assadi · Eric Balkanski · Renato Leme,Algorithms,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15594,http://ericbalkanski.com/wp-content/uploads/posterNeurIPS.pdf,,,East Exhibition Hall B + C,Online Learning
Learning Mixtures of Plackett-Luce Models from Structured Partial Orders,Zhibing Zhao · Lirong Xia,Algorithms,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15595,http://cs.rpi.edu/~xial/Files/NeurIPS19_LMPLMSPO.pdf,,,East Exhibition Hall B + C,Ranking and Preference Learning
On Sample Complexity Upper and Lower Bounds for Exact Ranking from Noisy Comparisons,Wenbo Ren · Jia (Kevin) Liu · Ness Shroff,Algorithms,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15595,https://www.dropbox.com/s/pxu0wmdsntzeu5q/poster%20ranking%2010-27.pdf?dl=0,,,East Exhibition Hall B + C,Ranking and Preference Learning
Selecting Optimal Decisions via Distributionally Robust Nearest-Neighbor Regression,Ruidi Chen · Ioannis Paschalidis,Algorithms,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15595,https://github.com/noc-lab/Select-Optimal-Decisions-via-DRO-KNN.git,,,East Exhibition Hall B + C,Ranking and Preference Learning
A Flexible Generative Framework for Graph-based Semi-supervised Learning,Jiaqi Ma · Weijing Tang · Ji Zhu · Qiaozhu Mei,Algorithms,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15596,http://www.jiaqima.com/papers/G3NN_poster.pdf,,,East Exhibition Hall B + C,Relational Learning
Deep Multimodal Multilinear Fusion with High-order Polynomial Pooling,Ming Hou · Jiajia Tang · Jianhai Zhang · Wanzeng Kong · Qibin Zhao,Algorithms,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15596,,https://github.com/jiajiatang0000/HPFN/tree/master/SLIDES,,East Exhibition Hall B + C,Relational Learning
Diffusion Improves Graph Learning,Johannes Klicpera · Stefan Weißenberger · Stephan Günnemann,Algorithms,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15596,https://github.com/klicperajo/gdc/raw/master/gdc_poster_neurips2019.pdf,,,East Exhibition Hall B + C,Relational Learning
Graph Neural Tangent Kernel: Fusing Graph Neural Networks with Graph Kernels,Simon Du · Kangcheng Hou · Russ Salakhutdinov · Barnabas Poczos · Ruosong Wang · Keyulu Xu,Algorithms,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15596,http://www.cs.cmu.edu/~ruosongw/poster_gntk.pdf,,,East Exhibition Hall B + C,Relational Learning
Hyperbolic Graph Convolutional Neural Networks,Ines Chami · Zhitao Ying · Christopher Ré · Jure Leskovec,Algorithms,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15596,https://drive.google.com/file/d/1shdtlJAatXCFbFf-ZxT2FjWJXdJvMr3f/view?usp=sharing,,,East Exhibition Hall B + C,Relational Learning
Hyperbolic Graph Neural Networks,Qi Liu · Maximilian Nickel · Douwe Kiela,Algorithms,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15596,http://dl.fbaipublicfiles.com/hgnn/hgnn_neurips_poster.pdf,,,East Exhibition Hall B + C,Relational Learning
Implicitly learning to reason in first-order logic,Vaishak Belle · Brendan Juba,Algorithms,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15596,,https://www.cse.wustl.edu/~bjuba/presentations/pac_fol.pdf,,East Exhibition Hall B + C,Relational Learning
Learning Disentangled Representations for Recommendation,Jianxin Ma · Chang Zhou · Peng Cui · Hongxia Yang · Wenwu Zhu,Algorithms,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15596,https://jianxinma.github.io/assets/disentangle-recsys-poster.pdf,,,East Exhibition Hall B + C,Relational Learning
Multi-relational Poincaré Graph Embeddings,Ivana Balazevic · Carl Allen · Timothy Hospedales,Algorithms,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15596,https://drive.google.com/file/d/194HjdykKW2XMaaGJyTTWT8fhSzzbJWHO/view?usp=sharing,,,East Exhibition Hall B + C,Relational Learning
On the equivalence between graph isomorphism testing and function approximation with GNNs,Zhengdao Chen · Soledad Villar · Lei Chen · Joan Bruna,Algorithms,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15596,,https://github.com/zhengdao-chen/Slides_NeurIPS2019_Equivalence,,East Exhibition Hall B + C,Relational Learning
Probabilistic Logic Neural Networks for Reasoning,Meng Qu · Jian Tang,Algorithms,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15596,https://drive.google.com/open?id=1WpZm6fuNJcnGutWJyP7UuUZxv0ruP-lE,,,East Exhibition Hall B + C,Relational Learning
A Unifying Framework for Spectrum-Preserving Graph Sparsification and Coarsening,Gecia Bravo Hermsdorff · Lee Gunderson,Algorithms,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15597,,,https://www.youtube.com/playlist?list=PLmfiQcz2q6d0Qeq7IBJ1izsMIWdVwM5Q0,East Exhibition Hall B + C,Spectral Methods
Learning Deterministic Weighted Automata with Queries and Counterexamples,Gail Weiss · Yoav Goldberg · Eran Yahav,Algorithms,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15597,http://cs.technion.ac.il/~sgailw/neurips_2019_poster.pdf,,,East Exhibition Hall B + C,Spectral Methods
Revisiting the Bethe-Hessian: Improved Community Detection in Sparse Heterogeneous Graphs,Lorenzo Dall'Amico · Romain Couillet · Nicolas Tremblay,Algorithms,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15597,https://lorenzodallamico.github.io/articles/poster_NeurIPS19.pdf,,,East Exhibition Hall B + C,Spectral Methods
Blow: a single-scale hyperconditioned flow for non-parallel raw-audio voice conversion,Joan Serrà · Santiago Pascual · Carlos Segura Perales,Applications,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15598,,https://blowconversions.github.io/joanserra-blow-compressed.pdf,,East Exhibition Hall B + C,Audio and Speech Processing
DeepWave: A Recurrent Neural-Network for Real-Time Acoustic Imaging,Matthieu SIMEONI · Sepand Kashani · Paul Hurley · Martin Vetterli,Applications,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15598,https://infoscience.epfl.ch/record/265765/files/poster.pdf,,https://www.youtube.com/watch?v=PwB3CS2rHdI,East Exhibition Hall B + C,Audio and Speech Processing
"FastSpeech: Fast, Robust and Controllable Text to Speech",Yi Ren · Yangjun Ruan · Xu Tan · Tao Qin · Sheng Zhao · Zhou Zhao · Tie-Yan Liu,Applications,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15598,https://github.com/RayeRen/fastspeech-poster/raw/master/NeurIPS2019_poster.pdf,,,East Exhibition Hall B + C,Audio and Speech Processing
MelGAN: Generative Adversarial Networks for Conditional Waveform Synthesis,Kundan Kumar · Rithesh Kumar · Thibault de Boissiere · Lucas Gestin · Wei Zhen Teoh · Jose Sotelo · Alexandre de Brébisson · Yoshua Bengio · Aaron Courville,Applications,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15598,,https://github.com/descriptinc/melgan-neurips/blob/master/melgan_slides.pdf,,East Exhibition Hall B + C,Audio and Speech Processing
Adaptive GNN for Image Analysis and Editing,Lingyu Liang · LianWen Jin · Yong Xu,Applications,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15555,https://drive.google.com/open?id=1BKxyEhLOkMx5_t80KTGuGwj6Q3Ujia7U,,,East Exhibition Hall B + C,Computer Vision
Few-shot Video-to-Video Synthesis,Ting-Chun Wang · Ming-Yu Liu · Andrew Tao · Guilin Liu · Bryan Catanzaro · Jan Kautz,Applications,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15555,,,https://www.youtube.com/watch?v=8AZBuyEuDqc&feature=youtu.be,East Exhibition Hall B + C,Computer Vision
Arbicon-Net: Arbitrary Continuous Geometric Transformation Networks for Image Registration,Jianchun Chen · Lingjing Wang · Xiang Li · Yi Fang,Applications,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15555,https://drive.google.com/file/d/1DdTfD-vB3UKEFt_f0Fz5AVw0OeQEO58P/view?usp=sharing,,,East Exhibition Hall B + C,Computer Vision
Image Synthesis with a Single (Robust) Classifier,Shibani Santurkar · Andrew Ilyas · Dimitris Tsipras · Logan Engstrom · Brandon Tran · Aleksander Madry,Applications,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15555,http://people.csail.mit.edu/tsipras/synthesis_poster.pdf,,https://youtu.be/l3SoeIIjxTM,East Exhibition Hall B + C,Computer Vision
Correlated Uncertainty for Learning Dense Correspondences from Noisy Labels,Natalia Neverova · David Novotny · Andrea Vedaldi,Applications,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15555,,http://nneverova.github.io/npapers/densepose_neurips_cameraready_slides.pdf,,East Exhibition Hall B + C,Computer Vision
Deep RGB-D Canonical Correlation Analysis For Sparse Depth Completion,Yiqi Zhong · Cho-Ying Wu · Suya You · Ulrich Neumann,Applications,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15555,http://www-scf.usc.edu/~choyingw/works/CFCNet/poster.pdf,,,East Exhibition Hall B + C,Computer Vision
Drill-down: Interactive Retrieval of Complex Scenes using Natural Language Queries,Fuwen Tan · Paola Cascante-Bonilla · Xiaoxiao Guo · Hui Wu · Song Feng · Vicente Ordonez,Applications,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15555,,http://www.cs.virginia.edu/~ft3ex/projects/drilldown/DrillDown_slides.pdf,,East Exhibition Hall B + C,Computer Vision
Dual Adversarial Semantics-Consistent Network for Generalized Zero-Shot Learning,Jian Ni · Shanghang Zhang · Haiyong Xie,Applications,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15555,https://drive.google.com/open?id=1YzY61nUIrR85n332kKmk5sS9smkzgmdi,,,East Exhibition Hall B + C,Computer Vision
Guided Similarity Separation for Image Retrieval,Chundi Liu · Guangwei Yu · Maksims Volkovs · Cheng Chang · Himanshu Rai · Junwei Ma · Satya Krishna Gorti,Applications,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15555,https://github.com/layer6ai-labs/GSS,,,East Exhibition Hall B + C,Computer Vision
Incremental Scene Synthesis,Benjamin Planche · Xuejian Rong · Ziyan Wu · Srikrishna Karanam · Harald Kosch · YingLi Tian · Jan Ernst · ANDREAS HUTTER,Applications,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15555,https://drive.google.com/open?id=1Igw0rPlrRM5N1wM6QyxTC4iGDY5S8tf8,,,East Exhibition Hall B + C,Computer Vision
Multi-mapping Image-to-Image Translation via Learning Disentanglement,Xiaoming Yu · Yuanqi Chen · Shan Liu · Thomas Li · Ge Li,Applications,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15555,https://sites.google.com/view/neurips2019dmit,,,East Exhibition Hall B + C,Computer Vision
Neural Diffusion Distance for Image Segmentation,Jian Sun · Zongben Xu,Applications,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15555,,http://gr.xjtu.edu.cn/c/document_library/get_file?folderId=1401787&name=DLFE-124079.pdf,,East Exhibition Hall B + C,Computer Vision
Predicting the Politics of an Image Using Webly Supervised Data,Christopher Thomas · Adriana Kovashka,Applications,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15555,,http://www.cs.pitt.edu/~chris/politics/slides.pdf,,East Exhibition Hall B + C,Computer Vision
Domes to Drones: Self-Supervised Active Triangulation for 3D Human Pose Reconstruction,Aleksis Pirinen · Erik Gärtner · Cristian Sminchisescu,Applications,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15555,https://lu.app.box.com/s/49wx5vfkpp5pkhp74ni497q5x4sfyzh3,,https://lu.app.box.com/s/xd1nidkirdlg0htlkyomq33ipk01k6gk,East Exhibition Hall B + C,Computer Vision
Cross-Modal Learning with Adversarial Samples,CHAO LI · Shangqian Gao · Cheng Deng · De Xie · Wei Liu,Applications,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15599,https://drive.google.com/file/d/1WRM9MNK0davH0WOBShvGTT3fJteVISjl/view,,,East Exhibition Hall B + C,Information Retrieval
Möbius Transformation for Fast Inner Product Search on Graph,Zhixin Zhou · Shulong Tan · Zhaozhuo Xu · Ping Li,Applications,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15599,,https://github.com/zhixin0825/Mobius-graph/blob/master/Slides.pdf,,East Exhibition Hall B + C,Information Retrieval
Rand-NSG: Fast Accurate Billion-point Nearest Neighbor Search on a Single Node,Suhas Jayaram Subramanya · Fnu Devvrit · Harsha Vardhan Simhadri · Ravishankar Krishnawamy · Rohan  Kadekodi,Applications,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15599,,http://harsha-simhadri.org/pubs/diskann/index.html,,East Exhibition Hall B + C,Information Retrieval
Crowdsourcing via Pairwise Co-occurrences: Identifiability and Algorithms,Shahana Ibrahim · Xiao Fu · Nikolaos Kargas · Kejun Huang,Applications,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15600,http://people.oregonstate.edu/~ibrahish/crowdsourcing_poster.pdf,http://people.oregonstate.edu/~ibrahish/crowdsourcing.pdf,,East Exhibition Hall B + C,Matrix and Tensor Factorization
Expressive power of tensor-network factorizations for probabilistic modeling,Ivan Glasser · Ryan Sweke · Nicola Pancotti · Jens Eisert · Ignacio Cirac,Applications,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15600,https://github.com/glivan/tensor_networks_for_probabilistic_modeling/blob/master/poster.png,,,East Exhibition Hall B + C,Matrix and Tensor Factorization
Factor Group-Sparse Regularization for Efficient Low-Rank Matrix Recovery,Jicong Fan · Lijun Ding · Yudong Chen · Madeleine Udell,Applications,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15600,https://github.com/jicongfan/Poster-of-FGSR-paper-in-NeurIPS2019/blob/master/poster_FGSR.pdf,,,East Exhibition Hall B + C,Matrix and Tensor Factorization
Multiway clustering via tensor block models  ,Miaoyan Wang · Yuchen Zeng,Applications,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15600,https://www.dropbox.com/s/577rmkrpynl2kkk/tbm_poster.pdf?dl=0,https://www.dropbox.com/s/xzfo4qevpv52yzd/Multiway_clustering_via_tensor_block_models__1_.pdf?dl=0,https://youtu.be/b3sOTLwxHMY,East Exhibition Hall B + C,Matrix and Tensor Factorization
Singleshot : a scalable Tucker tensor decomposition,Abraham Traore · Maxime Berar · Alain Rakotomamonjy,Applications,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15600,https://www.dropbox.com/s/1pxzuo56z00lxa6/Poster.pdf?dl=0,paper Summary: https://www.dropbox.com/s/eep5yavissvsun8/Paper_summary.pdf?dl=0,,East Exhibition Hall B + C,Matrix and Tensor Factorization
SuperGLUE: A Stickier Benchmark for General-Purpose Language Understanding Systems,Alex Wang · Yada Pruksachatkun · Nikita Nangia · Amanpreet Singh · Julian Michael · Felix Hill · Omer Levy · Samuel Bowman,Applications,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15601,https://www.dropbox.com/s/d6jpu4kahy595pq/poster.pdf?dl=0,,,East Exhibition Hall B + C,Natural Language Processing
A Tensorized Transformer for Language Modeling,Xindian Ma · Peng Zhang · Shuai Zhang · Nan Duan · Yuexian Hou · Ming Zhou · Dawei Song,Applications,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15601,https://maxindian.github.io/IntroductionAndSilde/Poster-TensorizedTransformer.pdf,https://maxindian.github.io/IntroductionAndSilde/1322_PPT_NeurIPS2019.pdf,,East Exhibition Hall B + C,Natural Language Processing
AttentionXML: Label Tree-based Attention-Aware Deep Model for High-Performance Extreme Multi-Label Text Classification,Ronghui You · Zihan Zhang · Ziye Wang · Suyang Dai · Hiroshi Mamitsuka · Shanfeng Zhu,Applications,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15601,https://drive.google.com/open?id=1x60rwp5EOOFYw8RIJxqCfjVIvvMqABMT,,,East Exhibition Hall B + C,Natural Language Processing
Comparing Unsupervised Word Translation Methods Step by Step,Mareike Hartmann · Yova  Kementchedjhieva · Anders Søgaard,Applications,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15601,https://github.com/coastalcph/stepbystep/blob/master/poster.pdf,,,East Exhibition Hall B + C,Natural Language Processing
Glyce: Glyph-vectors for Chinese Character Representations,Yuxian Meng · Wei Wu · Fei Wang · Xiaoya Li · Ping Nie · Fan Yin · Muyu Li · Qinghong  Han · Yuxian Meng · Jiwei Li,Applications,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15601,,https://drive.google.com/open?id=1IFYZst6QjuSdQiOdIkaVYr-8Gb1LNRc2,,East Exhibition Hall B + C,Natural Language Processing
Hierarchical Optimal Transport for Document Representation,Mikhail Yurochkin · Sebastian Claici · Edward Chien · Farzaneh Mirzazadeh · Justin M Solomon,Applications,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15601,https://github.com/IBM/HOTT/blob/master/poster.pdf,,,East Exhibition Hall B + C,Natural Language Processing
Improving Textual Network Learning with Variational Homophilic Embeddings,Wenlin Wang · Chenyang Tao · Zhe Gan · Guoyin Wang · Liqun Chen · Xinyuan Zhang · Ruiyi Zhang · Qian Yang · Ricardo Henao · Lawrence Carin,Applications,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15601,https://github.com/Wenlin-Wang/VHE19,,,East Exhibition Hall B + C,Natural Language Processing
Mixtape: Breaking the Softmax Bottleneck Efficiently,Zhilin Yang · Thang Luong · Russ Salakhutdinov · Quoc V Le,Applications,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15601,,,,East Exhibition Hall B + C,Natural Language Processing
Ouroboros: On Accelerating Training of Transformer-Based Language Models,Qian Yang · Zhouyuan Huo · Wenlin Wang · Lawrence Carin,Applications,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15601,https://github.com/LaraQianYang/Ouroboros,,,East Exhibition Hall B + C,Natural Language Processing
Fast Structured Decoding for Sequence Models,Zhiqing Sun · Zhuohan Li · Haoqing Wang · Di He · Zi Lin · Zhihong Deng,Applications,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15601,https://drive.google.com/open?id=1T7kGEzWKsfnhxY8EaTwIIJASmZVPSwXa,,,East Exhibition Hall B + C,Natural Language Processing
Data-driven Estimation of Sinusoid Frequencies,Gautier Izacard · Sreyas Mohan · Carlos Fernandez-Granda,Applications,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15602,https://github.com/gizacard/DeepFreq_poster/blob/master/poster.pdf,,,East Exhibition Hall B + C,Signal Processing
Distribution Learning of a Random Spatial Field with a Location-Unaware Mobile Sensor,Meera Pai · Animesh Kumar,Applications,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15602,https://www.ee.iitb.ac.in/~animesh/neurips/2019/pai-kumar-poster.pdf,,,East Exhibition Hall B + C,Signal Processing
Don't take it lightly: Phasing optical random projections with unknown operators,Sidharth Gupta · Remi Gribonval · Laurent Daudet · Ivan Dokmanić,Applications,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15602,https://uofi.box.com/s/5pie7yu5ecx0bwg975wke05ajuikpsqa,,,East Exhibition Hall B + C,Signal Processing
Connective Cognition Network for Directional Visual Commonsense Reasoning,Aming Wu · Linchao Zhu · Yahong Han · Yi Yang,Applications,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15603,https://github.com/AmingWu/CCN/tree/master/poster,,,East Exhibition Hall B + C,Visual Question Answering
Heterogeneous Graph Learning for Visual Commonsense Reasoning,Weijiang Yu · Jingwen Zhou · Weihao Yu · Xiaodan Liang · Nong Xiao,Applications,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15603,https://drive.google.com/file/d/1XdZ6pCdsiJZeLnCqDWiHfMWISRDWdvbZ/view?usp=sharing,https://drive.google.com/file/d/1h8inSnf7q5_x5wava9hQygBrmV7Dwj0c/view?usp=sharing,,East Exhibition Hall B + C,Visual Question Answering
Learning Dynamics of Attention: Human Prior for Interpretable Machine Reasoning,Wonjae Kim · Yoonho Lee,Applications,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15603,https://www.dropbox.com/s/xrk9tpr7o9obt5v/example.pdf?dl=0,,,East Exhibition Hall B + C,Visual Question Answering
RUBi: Reducing Unimodal Biases for Visual Question Answering,Remi Cadene · Corentin Dancette · Hedi Ben younes · Matthieu Cord · Devi Parikh,Applications,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15603,https://drive.google.com/file/d/1dazwHhHT4vFqHUpu2v3j6JQNaaxtQ-cc/view?usp=sharing,,,East Exhibition Hall B + C,Visual Question Answering
Self-Critical Reasoning for Robust Visual Question Answering,Jialin Wu · Raymond Mooney,Applications,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15603,https://www.cs.utexas.edu/~jialinwu/pubs/neurips2019_poster.pdf,,,East Exhibition Hall B + C,Visual Question Answering
Variational Structured Semantic Inference for Diverse Image Captioning,Fuhai Chen · Rongrong Ji · Jiayi Ji · Xiaoshuai Sun · Baochang Zhang · Xuri Ge · Yongjian Wu · Feiyue Huang · Yan Wang,Applications,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15603,https://github.com/cfh3c/NeurIPS19_poster,,,East Exhibition Hall B + C,Visual Question Answering
ViLBERT: Pretraining Task-Agnostic Visiolinguistic Representations for Vision-and-Language Tasks,Jiasen Lu · Dhruv Batra · Devi Parikh · Stefan Lee,Applications,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15603,,https://www.dropbox.com/sh/3ycu0s770jsd2f9/AABUixL0N4b3IJNsJqGuC-8ca?dl=0,,East Exhibition Hall B + C,Visual Question Answering
Visual Concept-Metaconcept Learning,Chi Han · Jiayuan Mao · Chuang Gan · Josh Tenenbaum · Jiajun Wu,Applications,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15603,,https://drive.google.com/open?id=1-td0BQp2tcSHwMVPCIOgOBLEyRph4dak,https://drive.google.com/open?id=1yP5gYyd8-Tx8SKvd1bWbO2H7prZO1Ndn,East Exhibition Hall B + C,Visual Question Answering
Detecting Overfitting via Adversarial Examples,Roman Werpachowski · András György · Csaba Szepesvari,"Data, Challenges, Implementations, and Software",Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15604,https://drive.google.com/file/d/1P2bn_grPAl3yGBiijrN2J5iPtwTYQHQH/view?usp=sharing,,,East Exhibition Hall B + C,Benchmarks
Neuropathic Pain Diagnosis Simulator for Causal Discovery Algorithm Evaluation,Ruibo Tu · Kun Zhang · Bo Bertilson · Hedvig Kjellstrom · Cheng Zhang,"Data, Challenges, Implementations, and Software",Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15604,https://drive.google.com/drive/folders/1Pup1r-R8FCseGXfHyltEevo3nQB6Edsg?usp=sharing,,https://youtu.be/1UvVnIbjSX8,East Exhibition Hall B + C,Benchmarks
Cold Case: The Lost MNIST Digits,Chhavi Yadav · Leon Bottou,"Data, Challenges, Implementations, and Software",Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15605,,https://drive.google.com/file/d/1yUq-VIWRMN-9wSvu3_zJHYmCq33yYmgi/view?usp=sharing,,East Exhibition Hall B + C,Data Sets or Data Repositories
The Cells Out of Sample (COOS) dataset and benchmarks for measuring out-of-sample generalization of image classifiers,Alex Lu · Amy Lu · Wiebke Schormann · Marzyeh Ghassemi · David Andrews · Alan Moses,"Data, Challenges, Implementations, and Software",Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15605,http://www.moseslab.csb.utoronto.ca/alexlu/coos_poster.pdf,,,East Exhibition Hall B + C,Data Sets or Data Repositories
PHYRE: A New Benchmark for Physical Reasoning,Anton Bakhtin · Laurens van der Maaten · Justin Johnson · Laura Gustafson · Ross Girshick,"Data, Challenges, Implementations, and Software",Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15606,https://www.dropbox.com/s/9gfxptb0kk7s9bn/phyre_poster.pdf?dl=0,,,East Exhibition Hall B + C,Virtual Environments
Are Sixteen Heads Really Better than One?,Paul Michel · Omer Levy · Graham Neubig,Deep Learning,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15607,http://www.cs.cmu.edu/~pmichel1/hosting/16_heads_poster.pdf,,,East Exhibition Hall B + C,Attention Models
Compositional De-Attention Networks,Yi Tay · Anh Tuan Luu · Aston Zhang · Shuohang Wang · Siu Cheung Hui,Deep Learning,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15607,,https://www.dropbox.com/s/b226kjf3ivr9le9/neurips19_coda_slides.pdf?dl=0,,East Exhibition Hall B + C,Attention Models
Geometry-Aware Neural Rendering,Joshua Tobin · Wojciech Zaremba · Pieter Abbeel,Deep Learning,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15607,,http://josh-tobin.com/assets/pdf/geometry_aware_neural_rendering_102719.pdf,,East Exhibition Hall B + C,Attention Models
Image Captioning: Transforming Objects into Words,Simao Herdade · Armin Kappeler · Kofi Boakye · Joao Soares,Deep Learning,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15607,https://github.com/yahoo/object_relation_transformer/blob/master/media/Object%20Relation_Transformer_Poster.pdf,,,East Exhibition Hall B + C,Attention Models
Learning by Abstraction: The Neural State Machine,Drew Hudson · Christopher Manning,Deep Learning,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15607,,https://cs.stanford.edu/people/dorarad/nsm.pdf,,East Exhibition Hall B + C,Attention Models
Neural Shuffle-Exchange Networks - Sequence Processing in O(n log n) Time,Karlis Freivalds · Emīls Ozoliņš · Agris Šostaks,Deep Learning,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15607,https://github.com/LUMII-Syslab/shuffle-exchange/raw/master/assets/FreivaldsOzolinsSostaksNeurIPS19_poster.pdf,,,East Exhibition Hall B + C,Attention Models
Novel positional encodings to enable tree-based transformers,Vighnesh Shiv · Chris Quirk,Deep Learning,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15607,https://www.microsoft.com/en-us/research/publication/novel-positional-encodings-to-enable-tree-based-transformers/,,,East Exhibition Hall B + C,Attention Models
Self-attention with Functional Time Representation Learning,Da Xu · Chuanwei Ruan · Evren Korpeoglu · Sushant Kumar · Kannan Achan,Deep Learning,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15607,https://drive.google.com/file/d/1gZ5tewpXTkCRUD3oLlD7LpXLPbwvtIZN/view?usp=sharing,,,East Exhibition Hall B + C,Attention Models
Understanding Attention and Generalization in Graph Neural Networks,Boris Knyazev · Graham W Taylor · Mohamed Amer,Deep Learning,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15607,https://drive.google.com/open?id=1COefg8JADh7mgI1uh0vB6euadpOmjH27,https://drive.google.com/open?id=1HcmhSEnf8ll6-BxXK1PiGzcXDa6BbKnC,,East Exhibition Hall B + C,Attention Models
A Domain Agnostic Measure for Monitoring and Evaluating GANs,Paulina Grnarova · Kfir Y. Levy · Aurelien Lucchi · Nathanael Perraudin · Ian Goodfellow · Thomas Hofmann · Andreas Krause,Deep Learning,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15561,https://docs.google.com/presentation/d/1vgrx0w3jRn-zFLJ01OhK9GAYCsLnkvJNs5xv2PbV22Q/edit?usp=sharing,,,East Exhibition Hall B + C,Generative Models
Bias Correction of Learned Generative Models using Likelihood-Free Importance Weighting,Aditya Grover · Jiaming Song · Ashish Kapoor · Kenneth Tran · Alekh Agarwal · Eric Horvitz · Stefano Ermon,Deep Learning,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15561,http://aditya-grover.github.io/files/posters/neurips19.pdf,http://aditya-grover.github.io/files/talks/neurips19.pdf,,East Exhibition Hall B + C,Generative Models
Copulas as High-Dimensional Generative Models: Vine Copula Autoencoders,Natasa Tagasovska · Damien Ackerer · Thibault Vatter,Deep Learning,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15561,https://drive.google.com/drive/folders/1yb1JdttXUDGRDZyNP1frxeqO4Mr-Tb7h?usp=sharing,,,East Exhibition Hall B + C,Generative Models
Deep Random Splines for Point Process Intensity Estimation of Neural Population Data,Gabriel Loaiza-Ganem · Sean Perkins · Karen Schroeder · Mark Churchland · John Cunningham,Deep Learning,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15561,https://github.com/gabloa/drs/blob/master/drs_neurips_poster.pdf,,,East Exhibition Hall B + C,Generative Models
Discrete Object Generation with Reversible Inductive Construction,Ari Seff · Wenda Zhou · Farhan Damani · Abigail Doyle · Ryan Adams,Deep Learning,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15561,,https://github.com/PrincetonLIPS/reversible-inductive-construction/blob/master/slides/GenRIC_slides.pdf,,East Exhibition Hall B + C,Generative Models
Generating Diverse High-Fidelity Images with VQ-VAE-2,Ali Razavi · Aaron van den Oord · Oriol Vinyals,Deep Learning,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15561,https://drive.google.com/file/d/1wILf6FOCNZM1LhkeVUiiUenRiIAtrWUF/view?usp=sharing,,,East Exhibition Hall B + C,Generative Models
Generative Well-intentioned Networks,Justin Cosentino · Jun Zhu,Deep Learning,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15561,https://cosentino.io/posters/gwins.pdf,,,East Exhibition Hall B + C,Generative Models
Graph Normalizing Flows,Jenny Liu · Aviral Kumar · Jimmy Ba · Jamie Kiros · Kevin Swersky,Deep Learning,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15561,,https://sites.google.com/view/graph-normalizing-flows/,,East Exhibition Hall B + C,Generative Models
Icebreaker: Element-wise Efficient Information Acquisition with a Bayesian Deep Latent Gaussian Model,Wenbo Gong · Sebastian Tschiatschek · Sebastian Nowozin · Richard E Turner · José Miguel Hernández-Lobato · Cheng Zhang,Deep Learning,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15561,,,https://www.youtube.com/watch?feature=%3Dyoutu.be&v=UST9Uhg8CkA,East Exhibition Hall B + C,Generative Models
Integer Discrete Flows and Lossless Compression,Emiel Hoogeboom · Jorn Peters · Rianne van den Berg · Max Welling,Deep Learning,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15561,,https://github.com/jornpeters/integer_discrete_flows/raw/master/media/IDF_slides.pdf,,East Exhibition Hall B + C,Generative Models
Amortized Bethe Free Energy Minimization for Learning MRFs,Sam Wiseman · Yoon Kim,Deep Learning,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15561,https://swiseman.github.io/files/lbpposter.pdf,,,East Exhibition Hall B + C,Generative Models
MintNet: Building Invertible Neural Networks with Masked Convolutions,Yang Song · Chenlin Meng · Stefano Ermon,Deep Learning,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15561,https://yang-song.github.io/papers/NeurIPS2019/mintnet-poster.pdf,,,East Exhibition Hall B + C,Generative Models
NAOMI: Non-Autoregressive Multiresolution Sequence Imputation,Yukai Liu · Rose Yu · Stephan Zheng · Eric Zhan · Yisong Yue,Deep Learning,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15561,https://drive.google.com/drive/folders/1gCV6ldBBiwgo1z6FA3c4TJPleyPbT9D-?usp=sharing,,,East Exhibition Hall B + C,Generative Models
ODE2VAE: Deep generative second order ODEs with Bayesian neural networks,Cagatay Yildiz · Markus Heinonen · Harri Lahdesmaki,Deep Learning,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15561,,,https://github.com/cagatayyildiz/ODE2VAE,East Exhibition Hall B + C,Generative Models
Scalable Deep Generative Relational Model with High-Order Node Dependence,Xuhui Fan · Bin Li · Caoyuan Li · Scott SIsson · Ling Chen,Deep Learning,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15561,,https://www.dropbox.com/s/h6vl1j3sxvne7mr/SDREM_by_Xuhui_Fan.pdf?dl=0,,East Exhibition Hall B + C,Generative Models
Variational Mixture-of-Experts Autoencoders for Multi-Modal Deep Generative Models,Yuge Shi · Siddharth N · Brooks Paige · Philip  Torr,Deep Learning,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15561,http://www.robots.ox.ac.uk/~yshi/mmdgm/poster.pdf,,,East Exhibition Hall B + C,Generative Models
Variational Temporal Abstraction,Taesup Kim · Sungjin Ahn · Yoshua Bengio,Deep Learning,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15561,https://drive.google.com/open?id=103F1A8tyxxq2x31FTEU2BN17PPBo8yO9,https://drive.google.com/open?id=1I0J-9_yQ_l8QVJZc3ZcFLXjVYO-UlpeJ,,East Exhibition Hall B + C,Generative Models
A Generic Acceleration Framework for Stochastic Composite Optimization,Andrei Kulunchakov · Julien Mairal,Optimization,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15608,https://github.com/KuluAndrej/NIPS-2019-code/blob/master/poster.pdf,,,East Exhibition Hall B + C,Convex Optimization
A unified variance-reduced accelerated gradient method for convex optimization,Guanghui Lan · Zhize Li · Yi Zhou,Optimization,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15608,,https://zhizeli.github.io/files/Varag_slides.pdf,,East Exhibition Hall B + C,Convex Optimization
Accelerating Rescaled Gradient Descent: Fast Optimization of Smooth Functions,Ashia Wilson · Lester Mackey · Andre Wibisono,Optimization,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15608,https://www.cc.gatech.edu/~awibisono3/rgd_neurips_poster.pdf,,,East Exhibition Hall B + C,Convex Optimization
Communication trade-offs for Local-SGD with large step size,Aymeric Dieuleveut · Kumar Kshitij Patel,Optimization,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15608,http://www.cmap.polytechnique.fr/~aymeric.dieuleveut/slides/Poster_local_sgd.pdf,,,East Exhibition Hall B + C,Convex Optimization
Convergence-Rate-Matching Discretization of Accelerated Optimization Flows Through Opportunistic State-Triggered Control,Miguel Vaquero · Jorge Cortes,Optimization,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15608,https://www.dropbox.com/sh/6rygo2q0iwg2wbr/AABnfjDC5XlKfpEv2rHyO_P3a?dl=0,,https://www.dropbox.com/sh/aildrjci7n55359/AAB1A2jEg66lgs2k8s2GWuWAa?dl=0,East Exhibition Hall B + C,Convex Optimization
Decentralized sketching of low rank matrices,Rakshith Sharma Srinivasa · Kiryung Lee · Marius  Junge · Justin Romberg,Optimization,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15608,,https://www.dropbox.com/sh/f2cbabzpbxk2ltl/AACf85SVwrCfvl9pg2bBnGe0a?dl=0,https://www.dropbox.com/sh/kpl064804i9ks1y/AADxPFiVivRDgPlku0lXX68na?dl=0,East Exhibition Hall B + C,Convex Optimization
Differentiable Convex Optimization Layers,Akshay Agrawal · Brandon Amos · Shane Barratt · Stephen Boyd · Steven Diamond · J. Zico Kolter,Optimization,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15608,https://www.akshayagrawal.com/files/Differentiable_Convex_Optimization_Layers_poster.pdf,,,East Exhibition Hall B + C,Convex Optimization
Dimension-Free Bounds for Low-Precision Training,Zheng Li · Christopher De Sa,Optimization,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15608,https://www.cs.cornell.edu/~cdesa/papers/neurips2019_lowprecision_poster.pdf,,,East Exhibition Hall B + C,Convex Optimization
Fast and Accurate Stochastic Gradient Estimation,Beidi Chen · Yingchen Xu · Anshumali Shrivastava,Optimization,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15608,https://drive.google.com/open?id=1VRSKSXdHSQ0-HiYzVLUAHhR_GvTeHuMh,https://drive.google.com/open?id=1pUVctPvxz0wVNjWx3-AOEJUfpQ2TgqWy,https://drive.google.com/open?id=1GJAErrv_7iAvzqhJEcfZd2vGVnQdaA_A,East Exhibition Hall B + C,Convex Optimization
"Fast, Provably convergent IRLS Algorithm for p-norm Linear Regression",Deeksha Adil · Richard Peng · Sushant Sachdeva,Optimization,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15608,,,https://www.youtube.com/watch?v=lG3ycfrK88g&feature=youtu.be,East Exhibition Hall B + C,Convex Optimization
Hamiltonian descent for composite objectives,Brendan O'Donoghue · Chris J. Maddison,Optimization,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15608,https://drive.google.com/open?id=1ze6X9qV6cxgTvuKp_GuTxOxP3WwO4sAZ,,,East Exhibition Hall B + C,Convex Optimization
High-Dimensional Optimization in Adaptive Random Subspaces,Jonathan Lacotte · Mert Pilanci · Marco Pavone,Optimization,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15608,https://github.com/jolacotte/highdimopt/blob/master/Slides.pdf,,,East Exhibition Hall B + C,Convex Optimization
Optimal Stochastic and Online Learning with Individual Iterates,Yunwen Lei · Peng Yang · Ke Tang · Ding-Xuan Zhou,Optimization,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15608,https://drive.google.com/open?id=1jL2qR88gcgca0ENp08Tfreh7G64Cm45g,,,East Exhibition Hall B + C,Convex Optimization
Primal-Dual Block Generalized Frank-Wolfe,Qi Lei · JIACHENG ZHUO · Constantine Caramanis · Inderjit S Dhillon · Alexandros Dimakis,Optimization,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15608,,https://users.oden.utexas.edu/~leiqi/PDBFW.pdf,,East Exhibition Hall B + C,Convex Optimization
Stochastic Frank-Wolfe for Composite Convex Minimization,Francesco Locatello · Alp Yurtsever · Olivier Fercoq · Volkan Cevher,Optimization,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15608,https://drive.google.com/drive/folders/1s5-50sakOhEvD_RE5cp9xjFa1fcNJtRh?usp=sharing,,,East Exhibition Hall B + C,Convex Optimization
Stochastic Variance Reduced Primal Dual Algorithms for Empirical Composition Optimization,Adithya M Devraj · Jianshu Chen,Optimization,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15608,https://github.com/adidevraj/SVRPDA/wiki/Poster,https://github.com/adidevraj/SVRPDA/wiki/Slides,https://github.com/adidevraj/SVRPDA/wiki/Video,East Exhibition Hall B + C,Convex Optimization
Band-Limited Gaussian Processes: The Sinc Kernel,Felipe Tobar,Probabilistic Methods,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15609,http://www.dim.uchile.cl/~ftobar/research.html,,,East Exhibition Hall B + C,Gaussian Processes
Exact Gaussian Processes on a Million Data Points,Ke Wang · Geoff Pleiss · Jacob Gardner · Stephen Tyree · Kilian Weinberger · Andrew Gordon Wilson,Probabilistic Methods,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15609,https://keawang.github.io/assets/documents/wang2019exact-poster.pdf,,,East Exhibition Hall B + C,Gaussian Processes
Function-Space Distributions over Kernels,Gregory Benton · Wesley J Maddox · Jayson Salkey · Julio Albinati · Andrew Gordon Wilson,Probabilistic Methods,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15609,https://github.com/wjmaddox/spectralgp/blob/master/poster.pdf,https://wjmaddox.github.io/assets/fkl-slides.pdf,"https://cims.nyu.edu/~andrewgw/spectralgp
https://g-benton.github.io/spectralgp/",East Exhibition Hall B + C,Gaussian Processes
Modeling Dynamic Functional Connectivity with Latent Factor Gaussian Processes,Lingge Li · Dustin Pluta · Babak Shahbaba · Norbert Fortin · Hernando Ombao · Pierre Baldi,Probabilistic Methods,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15609,https://github.com/modestbayes/LFGP_NeurIPS/blob/master/neurips-poster.pdf,,,East Exhibition Hall B + C,Gaussian Processes
Multi-resolution Multi-task Gaussian Processes,Oliver Hamelijnck · Theodoros Damoulas · Kangrui Wang · Mark Girolami,Probabilistic Methods,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15609,https://github.com/ohamelijnck/multi_res_gps,,,East Exhibition Hall B + C,Gaussian Processes
Multi-task Learning for Aggregated Data using Gaussian Processes,Fariba Yousefi · Michael T Smith · Mauricio Álvarez,Probabilistic Methods,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15609,https://www.dropbox.com/s/n1ue6rgi7n795w1/multitask_aggregated_poster.pdf?dl=0,,,East Exhibition Hall B + C,Gaussian Processes
Structured Variational Inference in Continuous Cox Process Models,Virginia Aglietti · Edwin Bonilla · Theodoros Damoulas · Sally  Cripps,Probabilistic Methods,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15609,https://virgiagl.github.io/STVB/poster.pdf,,,East Exhibition Hall B + C,Gaussian Processes
Reconciling meta-learning and continual learning with online mixtures of tasks,Ghassen Jerfel · Erin Grant · Tom Griffiths · Katherine Heller,Probabilistic Methods,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15610,,https://drive.google.com/file/d/1nFyU_7YF01VXjxLHdQ3_EYkLhUV8Jhmy/view?usp=sharing,,East Exhibition Hall B + C,Hierarchical Models
Computational Separations between Sampling and Optimization,Kunal Talwar,Probabilistic Methods,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15611,,https://drive.google.com/open?id=1yX_n7t-O4JSwmQ6BE4A0xykGNLvJ-ajL,,East Exhibition Hall B + C,MCMC
Estimating Convergence of Markov chains with L-Lag Couplings,Niloy Biswas · Pierre E Jacob · Paul Vanetti,Probabilistic Methods,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15611,https://niloyb.github.io/LlagCouplings/LlagCouplings_Poster/poster_files/LlagCouplings_Poster_NeurIPS2019.pdf,,,East Exhibition Hall B + C,MCMC
Exponential Family Estimation via Adversarial Dynamics Embedding,Bo Dai · Zhen Liu · Hanjun Dai · Niao He · Arthur Gretton · Le Song · Dale Schuurmans,Probabilistic Methods,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15611,https://drive.google.com/drive/folders/1Knz9LZ3rJIIijEC62a6UMj99HjRGQMyu?usp=sharing,,,East Exhibition Hall B + C,MCMC
Gradient-based Adaptive Markov Chain Monte Carlo,Michalis Titsias · Petros Dellaportas,Probabilistic Methods,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15611,,https://github.com/mtitsias/gadMCMC/blob/master/gadMCMC_summary.pdf,,East Exhibition Hall B + C,MCMC
On two ways to use determinantal point processes for Monte Carlo integration,Guillaume Gautier · Rémi Bardenet · Michal Valko,Probabilistic Methods,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15611,https://guilgautier.github.io/pdfs/GaBaVa19b_poster.pdf,,,East Exhibition Hall B + C,MCMC
Rapid Convergence of the Unadjusted Langevin Algorithm: Isoperimetry Suffices,Santosh Vempala · Andre Wibisono,Probabilistic Methods,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15611,https://www.cc.gatech.edu/~awibisono3/langevin_neurips_poster.pdf,,,East Exhibition Hall B + C,MCMC
Sample Adaptive MCMC,Michael Zhu,Probabilistic Methods,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15611,https://github.com/michaelhzhu/SampleAdaptiveMCMC/raw/master/poster.pdf,,,East Exhibition Hall B + C,MCMC
The Implicit Metropolis-Hastings Algorithm,Kirill Neklyudov · Evgenii Egorov · Dmitry Vetrov,Probabilistic Methods,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15611,,https://drive.google.com/drive/folders/123H6laRpYHH-tHInUhB42glUtqfQoJME,,East Exhibition Hall B + C,MCMC
 A New Distribution on the Simplex with Auto-Encoding Applications,Andrew Stirn · Tony Jebara · David Knowles,Probabilistic Methods,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15612,https://github.com/astirn/MV-Kumaraswamy/blob/master/poster.pdf,,,East Exhibition Hall B + C,Variational Inference
Bayesian Layers: A Module for Neural Network Uncertainty,Dustin Tran · Mike Dusenberry · Mark van der Wilk · Danijar Hafner,Probabilistic Methods,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15612,http://dustintran.com/papers/TranDusenberryVanDerWilkHafner2019_poster.pdf,,,East Exhibition Hall B + C,Variational Inference
Streaming Bayesian Inference for Crowdsourced Classification,Edoardo Manino · Long Tran-Thanh · Nicholas Jennings,Probabilistic Methods,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15612,https://www.dropbox.com/s/bh49b5nwsv85afl/poster.pdf?dl=0,,,East Exhibition Hall B + C,Variational Inference
Learning Hawkes Processes from a handful of events,Farnood Salehi · William Trouleau · Matthias Grossglauser · Patrick Thiran,Probabilistic Methods,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15612,https://www.dropbox.com/s/kfwdtdsiu7t0phh/poster_camera_ready_version.pdf?dl=0,,,East Exhibition Hall B + C,Variational Inference
Projected Stein Variational Newton: A Fast and Scalable Bayesian Inference Method in High Dimensions,Peng Chen · Keyi Wu · Joshua Chen · Tom O'Leary-Roseberry · Omar Ghattas,Probabilistic Methods,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15612,https://www.dropbox.com/s/znqqkog5vok6t17/pSVN2019NeurIPS.pdf?dl=0,,,East Exhibition Hall B + C,Variational Inference
Provable Gradient Variance Guarantees for Black-Box Variational Inference,Justin Domke,Probabilistic Methods,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15612,https://people.cs.umass.edu/~domke/papers/2019neurips1_poster.pdf,,,East Exhibition Hall B + C,Variational Inference
Semi-Implicit Graph Variational Auto-Encoders,Arman Hasanzadeh · Ehsan Hajiramezanali · Krishna Narayanan · Nick Duffield · Mingyuan Zhou · Xiaoning Qian,Probabilistic Methods,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15612,https://github.com/sigvae/SIGraphVAE/blob/master/SIGVAE_NeurIPS2019.pdf,,,East Exhibition Hall B + C,Variational Inference
Sparse Variational Inference: Bayesian Coresets from Scratch,Trevor Campbell · Boyan Beronov,Probabilistic Methods,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15612,https://drive.google.com/file/d/1GTW-z8epI-T_K-UI8-WgedxzN-dXbxw0,,,East Exhibition Hall B + C,Variational Inference
Stein Variational Gradient Descent With Matrix-Valued Kernels,Dilin Wang · Ziyang Tang · Chandrajit Bajaj · Qiang Liu,Probabilistic Methods,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15612,https://drive.google.com/open?id=1mq4p8pr0DJdLFs8hX7wWd97I9PNyKhpD,,,East Exhibition Hall B + C,Variational Inference
Tensor Monte Carlo: Particle Methods for the GPU era,Laurence Aitchison,Probabilistic Methods,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15612,,https://github.com/LaurenceA/tensor-monte-carlo-talk/raw/master/talk.pdf,,East Exhibition Hall B + C,Variational Inference
The Thermodynamic Variational Objective,Vaden Masrani · Tuan Anh Le · Frank Wood,Probabilistic Methods,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15612,https://vmasrani.github.io/assets/neurips_tvo_poster.pdf,,,East Exhibition Hall B + C,Variational Inference
Biases for Emergent Communication in Multi-agent Reinforcement Learning,Tom Eccles · Yoram Bachrach · Guy Lever · Angeliki Lazaridou · Thore Graepel,Reinforcement Learning and Planning,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15613,https://drive.google.com/file/d/1a_i5K5CujKczWWNF99yzH47SY69pJzDB/view?usp=sharing,,,East Exhibition Hall B + C,Multi-Agent RL
Ease-of-Teaching and Language Structure from Emergent Communication,Fushan Li · Michael Bowling,Reinforcement Learning and Planning,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15613,https://drive.google.com/file/d/1CnSeTqhr2iJWKNLBt9OvLHKYsgbwLScG/view?usp=sharing,https://drive.google.com/file/d/17c1iHeBHA90f1Kg41gF3Fk9keT1AQcaO/view?usp=sharing,,East Exhibition Hall B + C,Multi-Agent RL
Finding Friend and Foe in Multi-Agent Games,Jack Serrino · Max Kleiman-Weiner · David Parkes · Josh Tenenbaum,Reinforcement Learning and Planning,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15613,https://www.dropbox.com/sh/ghv0aozjepzrbtm/AADrHV7hGQfFxayNOspfGJuka?dl=0,,,East Exhibition Hall B + C,Multi-Agent RL
Learning Fairness in Multi-Agent Systems,Jiechuan Jiang · Zongqing Lu,Reinforcement Learning and Planning,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15613,https://github.com/PKU-AI-Edge/FEN,,,East Exhibition Hall B + C,Multi-Agent RL
MAVEN: Multi-Agent Variational Exploration,Anuj Mahajan · Tabish Rashid · Mikayel Samvelyan · Shimon Whiteson,Reinforcement Learning and Planning,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15613,https://github.com/AnujMahajanOxf/MAVEN/blob/master/MAVEN_poster.pdf,,,East Exhibition Hall B + C,Multi-Agent RL
Modelling the Dynamics of Multiagent Q-Learning in Repeated Symmetric Games: a Mean Field Theoretic Approach,Shuyue Hu · Chin-wing Leung · Ho-fung Leung,Reinforcement Learning and Planning,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15613,https://drive.google.com/open?id=1RXvFhBvBPobOTstgOELA2QGmAVEKrQuD,,,East Exhibition Hall B + C,Multi-Agent RL
Multi-Agent Common Knowledge Reinforcement Learning,Christian Schroeder de Witt · Jakob Foerster · Gregory Farquhar · Philip Torr · Wendelin Boehmer · Shimon Whiteson,Reinforcement Learning and Planning,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15613,https://github.com/schroederdewitt/mackrl/raw/master/docs/mackrl_neurips2019_poster.pdf,,,East Exhibition Hall B + C,Multi-Agent RL
Budgeted Reinforcement Learning in Continuous State Space,Nicolas Carrara · Edouard Leurent · Romain Laroche · Tanguy Urvoy · Odalric-Ambrym Maillard · Olivier Pietquin,Reinforcement Learning and Planning,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15583,http://ncarrara.fr/others/poster_budgeted_rl_NeurIPS2019.pdf,,,East Exhibition Hall B + C,Reinforcement Learning
Characterizing the Exact Behaviors of Temporal Difference Learning Algorithms Using Markov Jump Linear System Theory,Bin Hu · Usman Syed,Reinforcement Learning and Planning,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15583,https://binhu7.github.io/publications/posters/NeurIPSposter.pdf,,,East Exhibition Hall B + C,Reinforcement Learning
From Complexity to Simplicity: Adaptive ES-Active Subspaces for Blackbox Optimization,Krzysztof M Choromanski · Aldo Pacchiano · Jack Parker-Holder · Yunhao Tang · Vikas Sindhwani,Reinforcement Learning and Planning,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15583,https://drive.google.com/open?id=1OvcGB2zXRkpnt8s7Vh4vk4LGD8_pT54N,,,East Exhibition Hall B + C,Reinforcement Learning
Keeping Your Distance: Solving Sparse Reward Tasks Using Self-Balancing Shaped Rewards,Alexander Trott · Stephan Zheng · Caiming Xiong · Richard Socher,Reinforcement Learning and Planning,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15583,,https://github.com/salesforce/sibling-rivalry/blob/master/NeurIPS_2019_slides.pdf,,East Exhibition Hall B + C,Reinforcement Learning
Learning from Trajectories via Subgoal Discovery,Sujoy Paul · Jeroen Vanbaar · Amit Roy-Chowdhury ,Reinforcement Learning and Planning,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15583,https://www.dropbox.com/s/p7htd6lvgv01kz8/Poster.pptx?dl=0,,,East Exhibition Hall B + C,Reinforcement Learning
Loaded DiCE: Trading off Bias and Variance in Any-Order Score Function Gradient Estimators for Reinforcement Learning,Gregory Farquhar · Shimon Whiteson · Jakob Foerster,Reinforcement Learning and Planning,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15583,,https://docs.google.com/presentation/d/1Wcgbt0rzFopoLVr9ZKMyiBUPVziS7PA9Z10YYHbDO-M/edit?usp=sharing,,East Exhibition Hall B + C,Reinforcement Learning
Towards Optimal Off-Policy Evaluation for Reinforcement Learning with Marginalized Importance Sampling,Tengyang Xie · Yifei Ma · Yu-Xiang Wang,Reinforcement Learning and Planning,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15583,https://tengyangxie.github.io/resources/MIS_poster_2019.pdf,https://tengyangxie.github.io/resources/MIS_slides_2019.pdf,,East Exhibition Hall B + C,Reinforcement Learning
Meta-Inverse Reinforcement Learning with Probabilistic Context Variables,Lantao Yu · Tianhe Yu · Chelsea Finn · Stefano Ermon,Reinforcement Learning and Planning,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15583,http://lantaoyu.com/files/meta_irl_neurips_2019_poster.pdf,,,East Exhibition Hall B + C,Reinforcement Learning
Neural Trust Region/Proximal Policy Optimization Attains Globally Optimal Policy,Boyi Liu · Qi Cai · Zhuoran Yang · Zhaoran Wang,Reinforcement Learning and Planning,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15583,,https://www.dropbox.com/s/58s11216yvsp4cw/presentation.pdf?dl=0,,East Exhibition Hall B + C,Reinforcement Learning
Neural Temporal-Difference Learning Converges to Global Optima,Qi Cai · Zhuoran Yang · Jason Lee · Zhaoran Wang,Reinforcement Learning and Planning,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15583,,"https://github.com/QiCaiIEMS/Neural_TD/blob/master/presentation.pdf

See the part starting from page 26.",,East Exhibition Hall B + C,Reinforcement Learning
Provably Global Convergence of Actor-Critic: A Case for Linear Quadratic Regulator with Ergodic Cost,Zhuoran Yang · Yongxin Chen · Mingyi Hong · Zhaoran Wang,Reinforcement Learning and Planning,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15583,,https://www.dropbox.com/s/jd7s4yq9oksidkl/main.pdf?dl=0,,East Exhibition Hall B + C,Reinforcement Learning
Regularized Anderson Acceleration for Off-Policy Deep Reinforcement Learning,Wenjie Shi · Shiji Song · Hui Wu · Ya-Chu Hsu · Cheng Wu · Gao Huang,Reinforcement Learning and Planning,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15583,https://github.com/shiwj16/raa-drl/blob/master/poster/poster.pdf,,,East Exhibition Hall B + C,Reinforcement Learning
Stabilizing Off-Policy Q-Learning via Bootstrapping Error Reduction,Aviral Kumar · Justin Fu · Matthew Soh · George Tucker · Sergey Levine,Reinforcement Learning and Planning,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15583,,https://sites.google.com/view/bear-off-policyrl,,East Exhibition Hall B + C,Reinforcement Learning
Surrogate Objectives for Batch Policy Optimization in One-step Decision Making,Minmin Chen · Ramki Gummadi · Chris Harris · Dale Schuurmans,Reinforcement Learning and Planning,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15583,https://www.cs.ualberta.ca/~dale/neurips19/supplement/poster.pdf,,,East Exhibition Hall B + C,Reinforcement Learning
Discovery of Useful Questions as Auxiliary Tasks,Vivek Veeriah · Matteo Hessel · Zhongwen Xu · Janarthanan Rajendran · Richard L Lewis · Junhyuk Oh · Hado van Hasselt · David Silver · Satinder Singh,Reinforcement Learning and Planning,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15583,,https://docs.google.com/presentation/d/1XdpiC2J2bQANsLrzKMjyjWZFj1c5nN86jkLn5gczD1I/edit?usp=sharing,,East Exhibition Hall B + C,Reinforcement Learning
Efficient and Thrifty Voting by Any Means Necessary,Debmalya Mandal · Ariel Procaccia · Nisarg Shah · David Woodruff,Theory,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15584,,https://github.com/debmandal/NeurIPS19_Thrifty,,East Exhibition Hall B + C,Game Theory and Computational Economics
Efficient Regret Minimization Algorithm for Extensive-Form Correlated Equilibrium,Gabriele Farina · Chun Kai Ling · Fei Fang · Tuomas Sandholm,Theory,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15584,,http://www.cs.cmu.edu/~gfarina/2019/efce-regret-neurips19/slides.pdf,,East Exhibition Hall B + C,Game Theory and Computational Economics
Learning to Correlate in Multi-Player General-Sum Sequential Games,Andrea Celli · Alberto Marchesi · Tommaso Bianchi · Nicola Gatti,Theory,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15584,https://www.dropbox.com/s/tb3rh626ui5awxj/poster_id7160.pdf?dl=0,,,East Exhibition Hall B + C,Game Theory and Computational Economics
Multiagent Evaluation under Incomplete Information,Mark Rowland · Shayegan Omidshafiei · Karl Tuyls · Julien Perolat · Michal Valko · Georgios Piliouras · Remi Munos,Theory,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15584,,https://drive.google.com/file/d/1isCYVeQOTltsfEcawfqJrnciKizu_kcU/view?usp=sharing,,East Exhibition Hall B + C,Game Theory and Computational Economics
"Poincaré Recurrence, Cycles and Spurious Equilibria in Gradient-Descent-Ascent for Non-Convex Non-Concave Zero-Sum Games",Emmanouil-Vasileios Vlatakis-Gkaragkounis · Lampros Flokas · Georgios Piliouras,Theory,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15584,http://www.cs.columbia.edu/~emvlatakis/Posters/Poincare_Recurrence_Cycles_and_Spurious_Equilibria_in_Gradient-Descent-Ascent_for_Non-Convex_Non-Concave_Zero-Sum_Games.html,http://www.cs.columbia.edu/~emvlatakis/Presentations/Poincare_Recurrence_Cycles_and_Spurious_Equilibria_in_Gradient-Descent-Ascent_for_Non-Convex_Non-Concave_Zero-Sum_Games.html,http://www.cs.columbia.edu/~emvlatakis/Videos/Poincare_Recurrence_Cycles_and_Spurious_Equilibria_in_Gradient-Descent-Ascent_for_Non-Convex_Non-Concave_Zero-Sum_Games.html,East Exhibition Hall B + C,Game Theory and Computational Economics
Strategizing against No-regret Learners,Yuan Deng · Jon Schneider · Balasubramanian Sivan,Theory,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15584,https://drive.google.com/file/d/1iC-J-Cvkp5WFj83ettxBhLatGuXWnXrh/view?usp=sharing,,,East Exhibition Hall B + C,Game Theory and Computational Economics
McDiarmid-Type Inequalities for Graph-Dependent Variables and Stability Bounds,Rui (Ray) Zhang · Xingwu Liu · Yuyi Wang · Liwei Wang,Theory,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15614,,https://rui-ray-zhang.github.io/NIPS/NIPS_slide.pdf,https://rui-ray-zhang.github.io/NIPS/NIPS.mp4,East Exhibition Hall B + C,Large Deviations and Asymptotic Analysis
Nonzero-sum Adversarial Hypothesis Testing Games,Sarath Yasodharan · Patrick Loiseau,Theory,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15614,https://github.com/sarath1789/ahtg_neurips2019/blob/master/NeurIPS_2019_Poster.pdf,,,East Exhibition Hall B + C,Large Deviations and Asymptotic Analysis
An adaptive nearest neighbor rule for classification,Akshay Balsubramani · Sanjoy Dasgupta · yoav Freund · Shay Moran,Theory,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15585,,http://cseweb.ucsd.edu/~dasgupta/slides/adaptive-knn-slides.pdf,,East Exhibition Hall B + C,Learning Theory
Distribution-Independent PAC Learning of Halfspaces with Massart Noise,Ilias Diakonikolas · Themis Gouleakis · Christos Tzamos,Theory,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15585,,http://www.iliasdiakonikolas.org/massart-neurips19.pdf,,East Exhibition Hall B + C,Learning Theory
Fast-rate PAC-Bayes Generalization Bounds via Shifted Rademacher Processes,Jun Yang · Shengyang Sun · Daniel Roy,Theory,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15585,http://utstat.toronto.edu/~jun/slides/YSR-NeurIPS19-POSTER.pdf,,,East Exhibition Hall B + C,Learning Theory
Generalization Bounds for Neural Networks via Approximate Description Length,Amit Daniely · Elad Granot,Theory,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15585,poster,,,East Exhibition Hall B + C,Learning Theory
Graph-based Discriminators: Sample Complexity and Expressiveness,Roi Livni · Yishay Mansour,Theory,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15585,www.tau.ac.il/~rlivni/files/graphposter.pdf,,,East Exhibition Hall B + C,Learning Theory
Limitations of Lazy Training of Two-layers Neural Network,Song Mei · Theodor Misiakiewicz · Behrooz Ghorbani · Andrea Montanari,Theory,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15585,,https://misiakie.github.io/LimitationLazySummary_Neurips2019.pdf?fbclid=IwAR13BYN49z80LX7tof-2fOkyWNIfkYDlRm19POhzAoi-D3BHt5EcayKbBfY,,East Exhibition Hall B + C,Learning Theory
On Making Stochastic Classifiers Deterministic,Andrew Cotter · Maya Gupta · Harikrishna Narasimhan,Theory,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15585,,http://www.mayagupta.org/NeurIPS_2019_-_On_Making_Stochastic_Classifiers_Deterministic_-_Slides.pdf,,East Exhibition Hall B + C,Learning Theory
Semi-Parametric Efficient Policy Learning with Continuous Actions,Victor Chernozhukov · Mert Demirer · Greg Lewis · Vasilis Syrgkanis,Theory,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15585,,http://vsyrgkanis.com/camera_ready/neurips19/policy_learning/continuous_policy_optimization.pdf,,East Exhibition Hall B + C,Learning Theory
Small ReLU networks are powerful memorizers: a tight analysis of memorization capacity,Chulhee Yun · Suvrit Sra · Ali Jadbabaie,Theory,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15585,,https://chulheey.mit.edu/wp-content/uploads/sites/12/2019/10/yun2019small_slides.pdf,,East Exhibition Hall B + C,Learning Theory
The Broad Optimality of Profile Maximum Likelihood,Yi Hao · Alon Orlitsky,Theory,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15585,https://github.com/ucsdyi/PML_poster,https://github.com/ucsdyi/PML_slides,,East Exhibition Hall B + C,Learning Theory
Time/Accuracy Tradeoffs for Learning a ReLU with respect to Gaussian Marginals,Surbhi Goel · Sushrut Karmalkar · Adam Klivans,Theory,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15585,https://drive.google.com/drive/folders/1sHwlaAKLQHljrOAtc_vHGZV68kZ-znWM?usp=sharing,,,East Exhibition Hall B + C,Learning Theory
A Solvable High-Dimensional Model of GAN,Chuang Wang · Hong Hu · Yue Lu,Theory,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15615,,https://drive.google.com/file/d/1enJgyKOA6Vv_18wsO9zh9XoTvSHKjDLU/view,,East Exhibition Hall B + C,Statistical Physics of Learning
Data-Dependence of Plateau Phenomenon in Learning with Neural Network --- Statistical Mechanical Analysis,Yuki Yoshida · Masato Okada,Theory,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15615,http://mns.k.u-tokyo.ac.jp/~yoshida/documents/ddpp/poster-neurips19.pdf,,,East Exhibition Hall B + C,Statistical Physics of Learning
Dynamics of stochastic gradient descent for two-layer neural networks in the teacher-student setup,Sebastian Goldt · Madhu Advani · Andrew Saxe · Florent Krzakala · Lenka Zdeborová,Theory,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15615,https://drive.google.com/open?id=1e9m905QpxWbqGOZSxcVe1MuXpiHxRkS3,https://drive.google.com/open?id=1MFrHNcneOzg9GlC9YsJNW89j_mK9t3BR,,East Exhibition Hall B + C,Statistical Physics of Learning
First Exit Time Analysis of Stochastic Gradient Descent Under Heavy-Tailed Gradient Noise,Thanh Huy Nguyen · Umut Simsekli · Mert Gurbuzbalaban · Gaël RICHARD,Theory,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15615,https://github.com/umutsimsekli/sgd_first_exit_time/raw/master/levy_langevin_local_poster.pdf,,,East Exhibition Hall B + C,Statistical Physics of Learning
The Normalization Method for Alleviating Pathological Sharpness in Wide Neural Networks,Ryo Karakida · Shotaro Akaho · Shun-ichi Amari,Theory,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15615,https://drive.google.com/open?id=1BchjvU7h-mB2gNFsMG4P3gPpPBlfFlWa,,,East Exhibition Hall B + C,Statistical Physics of Learning
Untangling in Invariant Speech Recognition ,Cory Stephenson · Jenelle Feather · Suchismita Padhy · Oguz Elibol · Hanlin Tang · Josh McDermott · SueYeon Chung,Theory,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15615,https://www.dropbox.com/sh/d3v3kutlyhe610l/AADzktzifTrMF95hMEZu5Umqa?dl=0,,,East Exhibition Hall B + C,Statistical Physics of Learning
Wide Feedforward or Recurrent Neural Networks of Any Architecture are Gaussian Processes,Greg Yang,Theory,Poster,Wed Dec 11th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15615,,https://1drv.ms/u/s!AoY0J1iwB5d4guANi2NKmWlp7gAZFQ?e=o76Vsi,,East Exhibition Hall B + C,Statistical Physics of Learning
BatchBALD: Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning,Andreas Kirsch · Joost van Amersfoort · Yarin Gal,Algorithms,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15617,http://www.cs.ox.ac.uk/people/joost.vanamersfoort/batchbald_poster_neurips.pdf,http://www.cs.ox.ac.uk/people/joost.vanamersfoort/batchbald_slides_neurips.pdf,,East Exhibition Hall B + C,Active Learning
Bayesian Batch Active Learning as Sparse Subset Approximation,Robert Pinsler · Jonathan Gordon · Eric Nalisnick · José Miguel Hernández-Lobato,Algorithms,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15617,,http://www.robertpinsler.com/projects/acs/presentation.pdf,,East Exhibition Hall B + C,Active Learning
Cost Effective Active Search,Shali Jiang · Roman Garnett · Benjamin Moseley,Algorithms,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15617,,https://drive.google.com/file/d/1LGcG8m2Y2c5e7NMz2V7BjgFrTVyP2Kno/view,,East Exhibition Hall B + C,Active Learning
Exact sampling of determinantal point processes with sublinear time preprocessing,Michal Derezinski · Daniele Calandriello · Michal Valko,Algorithms,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15617,https://github.com/LCSL/dpp-vfx/blob/master/poster.pdf,,,East Exhibition Hall B + C,Active Learning
Flattening a Hierarchical Clustering through Active Learning,Fabio Vitale · Anand Rajagopalan · Claudio Gentile,Algorithms,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15617,,https://drive.google.com/file/d/1BuBg84Vf1SLxJM4AHkrSiDjDC177btBx/view?usp=sharing,,East Exhibition Hall B + C,Active Learning
Integrating Bayesian and Discriminative Sparse Kernel Machines for  Multi-class Active Learning,Weishi Shi · Qi Yu,Algorithms,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15617,https://drive.google.com/open?id=1XZT7e0viIVeV9zilQ6RH3DE0zCtwhJM7,https://drive.google.com/open?id=1UOYwk5gQmoKRt3fFdVGCJ0IZq2Bu4A1T,https://drive.google.com/open?id=1awBUI9liuh28vfJWHlc2beoYm8Zfybm9,East Exhibition Hall B + C,Active Learning
Learning Nearest Neighbor Graphs from Noisy Distance Samples,Blake Mason · Ardhendu Tripathy · Robert Nowak,Algorithms,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15617,,https://github.com/blakemas/nngraph/blob/master/nngraph_slides.pdf,,East Exhibition Hall B + C,Active Learning
Machine Teaching of Active Sequential Learners,Tomi Peltola · Mustafa Mert Çelikok · Pedram Daee · Samuel Kaski,Algorithms,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15617,https://aaltopml.github.io/machine-teaching-of-active-sequential-learners/poster.pdf,,,East Exhibition Hall B + C,Active Learning
The Label Complexity of Active Learning from Observational Data,Songbai Yan · Kamalika Chaudhuri · Tara Javidi,Algorithms,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15617,,https://drive.google.com/file/d/1gPQHSGTPcDaSmTcMVmnLd5Qbql1mMxKN/view?usp=sharing,,East Exhibition Hall B + C,Active Learning
Adversarial Music: Real world Audio Adversary against Wake-word Detection System,Juncheng Li · Shuhui Qu · Xinjian Li · Joseph Szurley · J. Zico Kolter · Florian Metze,Algorithms,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15618,,,,East Exhibition Hall B + C,Adversarial Learning
Adversarial Robustness through Local Linearization,Chongli Qin · James Martens · Sven Gowal · Dilip Krishnan · Krishnamurthy Dvijotham · Alhussein Fawzi · Soham De · Robert Stanforth · Pushmeet Kohli,Algorithms,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15618,https://drive.google.com/file/d/1-lGnQIxnfGKKRSGOR0Qi2rUBMi-VpzC7/view?usp=sharing,,,East Exhibition Hall B + C,Adversarial Learning
Are Labels Required for Improving Adversarial Robustness?,Jean-Baptiste Alayrac · Jonathan Uesato · Po-Sen Huang · Alhussein Fawzi · Robert Stanforth · Pushmeet Kohli,Algorithms,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15618,https://drive.google.com/open?id=1tPE5ymrKpvsrGRtJITH7Kk7tQ8q5owjv,,,East Exhibition Hall B + C,Adversarial Learning
Certifying Geometric Robustness of Neural Networks,Mislav Balunovic · Maximilian Baader · Gagandeep Singh · Timon Gehr · Martin Vechev,Algorithms,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15618,https://files.sri.inf.ethz.ch/website/papers/neurips19-deepg-poster.pdf,,,East Exhibition Hall B + C,Adversarial Learning
Cross-Domain Transferability of Adversarial Perturbations,Muhammad Muzammal Naseer · Salman H Khan · Muhammad Haris Khan · Fahad Shahbaz Khan · Fatih Porikli,Algorithms,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15618,https://drive.google.com/open?id=1DLlHd963Ape3Fu2-5a7WaDQw2fwXpxpm,,,East Exhibition Hall B + C,Adversarial Learning
Functional Adversarial Attacks,Cassidy Laidlaw · Soheil Feizi,Algorithms,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15618,https://cassidylaidlaw.com/files/research/Functional_Adversarial_Attacks_poster.pdf,,,East Exhibition Hall B + C,Adversarial Learning
Improving Black-box Adversarial Attacks with a Transfer-based Prior,Shuyu Cheng · Yinpeng Dong · Tianyu Pang · Hang Su · Jun Zhu,Algorithms,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15618,,http://ml.cs.tsinghua.edu.cn/~shuyu/p-rgf/p-rgf.pdf,,East Exhibition Hall B + C,Adversarial Learning
Invariance-inducing regularization using worst-case transformations suffices to boost accuracy and spatial robustness,Fanny Yang · Zuowen Wang · Christina Heinze-Deml,Algorithms,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15618,http://www.fanny-yang.de/ResearchWork/spatial_poster.pdf,http://www.fanny-yang.de/ResearchWork/spatial_short_slides.pdf,,East Exhibition Hall B + C,Adversarial Learning
Learning to Confuse: Generating Training Time Adversarial Data with Auto-Encoder,Ji Feng · Qi-Zhi Cai · Zhi-Hua Zhou,Algorithms,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15618,https://github.com/kingfengji/DeepConfuse/blob/master/NIPS19_DeepConfuse_Poster.pdf,,,East Exhibition Hall B + C,Adversarial Learning
On Robustness to Adversarial Examples and Polynomial Optimization,Pranjal Awasthi · Abhratanu Dutta · Aravindan Vijayaraghavan,Algorithms,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15618,,http://users.eecs.northwestern.edu/~aravindv/Adversarial_Robustness.pdf,,East Exhibition Hall B + C,Adversarial Learning
Outlier-robust estimation of a sparse linear model using $\ell_1$-penalized Huber's $M$-estimator,Arnak Dalalyan · Philip Thompson,Algorithms,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15618,,https://statmathappli.mia.inra.fr/statmathappli/sites/default/files/presentations_2019/thompson_Presentation_Frejus2019.pdf,,East Exhibition Hall B + C,Adversarial Learning
Policy Poisoning in Batch Reinforcement Learning and Control,Yuzhe Ma · Xuezhou Zhang · Wen Sun · Jerry Zhu,Algorithms,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15618,http://pages.cs.wisc.edu/~yzm234/PPRL/PPRL.pdf,,,East Exhibition Hall B + C,Adversarial Learning
Provable Certificates for Adversarial Examples: Fitting a Ball in the Union of Polytopes,Matt Jordan · Justin Lewis · Alexandros Dimakis,Algorithms,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15618,https://www.cs.utexas.edu/~mjordan/neurips/neurips_poster.pdf,https://www.cs.utexas.edu/~mjordan/neurips/neurips_slides.pdf,,East Exhibition Hall B + C,Adversarial Learning
Provably robust boosted decision stumps and trees against adversarial attacks,Maksym Andriushchenko · Matthias Hein,Algorithms,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15618,https://www.dropbox.com/s/g39i56kc05a699a/Provably%20Robust%20Boosted%20Decision%20Stumps%20and%20Trees%20against%20Adversarial%20Attacks.pdf,,,East Exhibition Hall B + C,Adversarial Learning
Provably Robust Deep Learning via Adversarially Trained Smoothed Classifiers,Hadi Salman · Jerry Li · Ilya Razenshteyn · Pengchuan Zhang · Huan Zhang · Sebastien Bubeck · Greg Yang,Algorithms,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15618,https://drive.google.com/open?id=1kXrG-48MaAUMRQhVV2tJW1WfRAkxmOON,,,East Exhibition Hall B + C,Adversarial Learning
Robust Attribution Regularization,Jiefeng Chen · Xi Wu · Vaibhav Rastogi · Yingyu Liang · Somesh Jha,Algorithms,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15618,http://pages.cs.wisc.edu/~jiefeng/docs/neurips2019/poster.pdf,http://pages.cs.wisc.edu/~jiefeng/docs/neurips2019/slides.pdf,,East Exhibition Hall B + C,Adversarial Learning
Robustness Verification of Tree-based Models,Hongge Chen · Huan Zhang · Si Si · Yang Li · Duane Boning · Cho-Jui Hsieh,Algorithms,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15618,http://www.huan-zhang.com/pdf/TreeVerificationPoster.pdf,,,East Exhibition Hall B + C,Adversarial Learning
Efficient Forward Architecture Search,Hanzhang Hu · John Langford · Rich Caruana · Saurajit Mukherjee · Eric Horvitz · Debadeepta Dey,Algorithms,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15619,https://www.dropbox.com/s/saq6saxywaycwt9/petridish_2019.pptx?dl=0,,,East Exhibition Hall B + C,AutoML
Efficient Neural Architecture Transformation Search in Channel-Level for Object Detection,Junran Peng · Ming Sun · ZHAO-XIANG ZHANG · Tieniu Tan · Junjie Yan,Algorithms,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15619,,https://pan.baidu.com/s/1NN-htRVvUldARlvtqJabXA,,East Exhibition Hall B + C,AutoML
Hyperparameter Learning via Distributional Transfer,Ho Chung Law · Peilin Zhao · Leung Sing Chan · Junzhou Huang · Dino Sejdinovic,Algorithms,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15619,https://github.com/hcllaw/distBO/blob/master/bayes_opt_poster.pdf,,,East Exhibition Hall B + C,AutoML
Learning search spaces for Bayesian optimization: Another view of hyperparameter transfer learning,Valerio Perrone · Huibin Shen · Matthias Seeger · Cedric Archambeau · Rodolphe Jenatton,Algorithms,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15619,https://drive.google.com/open?id=1SZclNBqdOpI3DfzrbzB-jJpoBjTEYQRA,,,East Exhibition Hall B + C,AutoML
Meta Architecture Search,Albert Shaw · Wei Wei · Weiyang Liu · Le Song · Bo Dai,Algorithms,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15619,https://github.com/ashaw596/meta_architecture_search_poster/raw/master/poster.pdf,,,East Exhibition Hall B + C,AutoML
Multi-objective Bayesian optimisation with preferences over objectives,Majid Abdolshah · Alistair Shilton · Santu Rana · Sunil Gupta · Svetha Venkatesh,Algorithms,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15619,https://www.dropbox.com/s/hkupa09nvb98m8w/Poster.pdf?dl=0,,,East Exhibition Hall B + C,AutoML
Practical Two-Step Lookahead Bayesian Optimization,Jian Wu · Peter Frazier,Algorithms,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15619,https://github.com/wujian16/TwoStep-BayesOpt/tree/master/Presentation,,https://github.com/wujian16/TwoStep-BayesOpt/tree/master/Presentation,East Exhibition Hall B + C,AutoML
"Procrastinating with Confidence: Near-Optimal, Anytime, Adaptive Algorithm Configuration",Robert Kleinberg · Kevin Leyton-Brown · Brendan Lucier · Devon Graham,Algorithms,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15619,https://www.cs.ubc.ca/~drgraham/img/SPCPoster-NeurIPS2019.pdf,,,East Exhibition Hall B + C,AutoML
Splitting Steepest Descent for Growing Neural Architectures ,Lemeng Wu · Dilin Wang · Qiang Liu,Algorithms,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15619,https://drive.google.com/drive/folders/1Ut-FjFLMP5ruvgcn7DltLcnEhRvrzb1Q,,,East Exhibition Hall B + C,AutoML
Towards modular and programmable architecture search,Renato Negrinho · Matthew Gormley · Geoffrey Gordon · Darshan Patil · Nghia Le · Daniel Ferreira,Algorithms,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15619,https://www.cs.cmu.edu/~negrinho/assets/posters/neurips_2019.pdf,,,East Exhibition Hall B + C,AutoML
A New Perspective on Pool-Based Active Classification and False-Discovery Control,Lalit Jain · Kevin Jamieson,Algorithms,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15620,,lalitjain.com/files/active_fdr.pdf,,East Exhibition Hall B + C,Bandit Algorithms
Bootstrapping Upper Confidence Bound,Botao Hao · Yasin Abbasi Yadkori · Zheng Wen · Guang Cheng,Algorithms,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15620,https://www.dropbox.com/sh/xo144tv7uknx59g/AACprLOjxuSkJ5I1aGpXnNSXa?dl=0,,,East Exhibition Hall B + C,Bandit Algorithms
Categorized Bandits,Matthieu Jedor · Vianney Perchet · Jonathan Louedec,Algorithms,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15620,https://drive.google.com/open?id=1ntlrv3u2-govG0uUD3BWm22uwcO-qkAg,,,East Exhibition Hall B + C,Bandit Algorithms
Censored Semi-Bandits: A Framework for Resource Allocation with Censored Feedback,Arun Verma · Manjesh Hanawal · Arun Rajkumar · Raman Sankaran,Algorithms,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15620,https://github.com/arunv3rma/NeurIPS-2019/blob/master/CSB_Poster.pdf,https://github.com/arunv3rma/NeurIPS-2019/blob/master/CSB_Slides.pdf,,East Exhibition Hall B + C,Bandit Algorithms
Contextual Bandits with Cross-Learning,Santiago Balseiro · Negin Golrezaei · Mohammad Mahdian · Vahab Mirrokni · Jon Schneider,Algorithms,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15620,https://drive.google.com/file/d/1KdC2aXwXM2ALqBlUudYJRV5xk1dJUUM8/view?usp=sharing,,,East Exhibition Hall B + C,Bandit Algorithms
"Distribution oblivious, risk-aware algorithms for multi-armed   bandits with unbounded rewards",Anmol Kagrecha · Jayakrishnan Nair · Krishna Jagannathan,Algorithms,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15620,https://github.com/akagrecha/Neurips-2019-simulations/blob/master/Poster.pdf,,,East Exhibition Hall B + C,Bandit Algorithms
Dynamic Incentive-Aware Learning: Robust Pricing in Contextual Auctions,Negin Golrezaei · Adel Javanmard · Vahab Mirrokni,Algorithms,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15620,,http://faculty.marshall.usc.edu/Adel-Javanmard/Slides/GJM_robust_learning_NIPS_2019.pdf,,East Exhibition Hall B + C,Bandit Algorithms
Stochastic Bandits with Context Distributions,Johannes Kirschner · Andreas Krause,Algorithms,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15620,,https://las.inf.ethz.ch/files/kirschner19context_talk.pdf,,East Exhibition Hall B + C,Bandit Algorithms
Thompson Sampling and Approximate Inference,My Phan · Yasin Abbasi Yadkori · Justin Domke,Algorithms,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15620,https://docs.google.com/presentation/d/1ItNSXWhhzPZ0lmHN-6F-GHH4MmbrcT4QQmV6be53-LM/edit?usp=sharing,,,East Exhibition Hall B + C,Bandit Algorithms
Thompson Sampling for Multinomial Logit Contextual Bandits,Min-hwan Oh · Garud Iyengar,Algorithms,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15620,http://www.columbia.edu/~mo2499/files/ts-mnl-poster.pdf,,http://www.columbia.edu/~mo2499/ts-mnl.html,East Exhibition Hall B + C,Bandit Algorithms
Thompson Sampling with Information Relaxation Penalties,Seungki Min · Costis Maglaras · Ciamac C Moallemi,Algorithms,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15620,http://www.mskyt.net/wp-content/uploads/2019/10/SeungkiMin-poster.pdf,,,East Exhibition Hall B + C,Bandit Algorithms
Data Cleansing for Models Trained with SGD,Satoshi Hara · Atsushi Nitanda · Takanori Maehara,Algorithms,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15621,,https://github.com/sato9hara/sgd-influence,,East Exhibition Hall B + C,Classification
L_DMI: A Novel Information-theoretic Loss Function for Training Deep Nets Robust to Label Noise,Yilun Xu · Peng Cao · Yuqing Kong · Yizhou Wang,Algorithms,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15621,https://github.com/Newbeeer/L_DMI/blob/master/summarizing/DMI_poster.pdf,https://github.com/Newbeeer/L_DMI/blob/master/summarizing/DMI_Slides.pdf,,East Exhibition Hall B + C,Classification
Copula Multi-label Learning,Weiwei Liu,Algorithms,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15621,https://drive.google.com/file/d/1JfxCEp1ID7fCzGEQC-uDE8X16EZiCKLz/view?usp=sharing,,,East Exhibition Hall B + C,Classification
Optimizing Generalized Rate Metrics with Three Players,Harikrishna Narasimhan · Andrew Cotter · Maya Gupta,Algorithms,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15621,,http://www.mayagupta.org/GeneralizedRateMetrics_NeurIPS2019.pdf,,East Exhibition Hall B + C,Classification
Better Transfer Learning with Inferred Successor Maps,Tamas Madarasz · Tim Behrens,Algorithms,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15622,,https://drive.google.com/file/d/1JkaYc8lvzYVetv2a53dvMMnbuewcKRP-/view?usp=sharing,,East Exhibition Hall B + C,Multitask and Transfer Learning
"Compacting, Picking and Growing for Unforgetting Continual Learning",Ching-Yi Hung · Cheng-Hao Tu · Cheng-En Wu · Chien-Hung Chen · Yi-Ming Chan · Chu-Song Chen,Algorithms,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15622,https://github.com/ivclab/CPG/blob/master/docs/19NeurIPS_unforgetting_continual_learning_poster.pdf,https://github.com/ivclab/CPG/tree/master/docs,,East Exhibition Hall B + C,Multitask and Transfer Learning
Failing Loudly: An Empirical Study of Methods for Detecting Dataset Shift,Stephan Rabanser · Stephan Günnemann · Zachary Lipton,Algorithms,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15622,https://rabanser.dev/assets/posters/failing_loudly.pdf,,,East Exhibition Hall B + C,Multitask and Transfer Learning
Generalization in multitask deep neural classifiers: a statistical physics approach,Anthony Ndirango · Tyler Lee,Algorithms,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15622,,https://www.dropbox.com/s/sk4vkb79vve9jjr/Slides_MTL_Theory_NeurIPS2019.pdf?dl=0,,East Exhibition Hall B + C,Multitask and Transfer Learning
Hierarchical Optimal Transport for Multimodal Distribution Alignment,John Lee · Max Dabagia · Eva Dyer · Christopher Rozell,Algorithms,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15622,,https://github.com/siplab-gt/hiwa-matlab/blob/master/HiWA_summary.pdf,,East Exhibition Hall B + C,Multitask and Transfer Learning
Learning Robust Global Representations by Penalizing Local Predictive Power,Haohan Wang · Songwei Ge · Zachary Lipton · Eric Xing,Algorithms,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15622,http://www.cs.cmu.edu/~haohanw/PAR/poster.pdf,,,East Exhibition Hall B + C,Multitask and Transfer Learning
Modular Universal Reparameterization: Deep Multi-task Learning Across Diverse Domains,Elliot Meyerson · Risto Miikkulainen,Algorithms,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15622,https://github.com/leaf-ai/muir/poster.pdf,,,East Exhibition Hall B + C,Multitask and Transfer Learning
Online Continual Learning with Maximal Interfered Retrieval,Rahaf Aljundi · Eugene Belilovsky · Tinne Tuytelaars · Laurent Charlin · Massimo Caccia · Min Lin · Lucas Page-Caccia,Algorithms,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15622,,,https://www.youtube.com/watch?v=wfb9UV_n8jg&feature=youtu.be,East Exhibition Hall B + C,Multitask and Transfer Learning
Pareto Multi-Task Learning,Xi Lin · Hui-Ling Zhen · Zhenhua Li · Qing-Fu Zhang · Sam Kwong,Algorithms,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15622,https://github.com/Xi-L/ParetoMTL/blob/master/ParetoMTL_NeurIPS2019_Poster.pdf,,,East Exhibition Hall B + C,Multitask and Transfer Learning
Transfer Learning via Minimizing the Performance Gap Between Domains,Boyu Wang · Jorge Mendez · Mingbo Cai · Eric Eaton,Algorithms,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15622,https://drive.google.com/file/d/16y3gtQTi3eldU-okSAScyE908HlzAhR3/view?usp=sharing,,,East Exhibition Hall B + C,Multitask and Transfer Learning
Large Scale Adversarial Representation Learning,Jeff Donahue · Karen Simonyan,Algorithms,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15623,https://drive.google.com/open?id=1P21WUDHzL9JF1qeG10lb_zhsNgCHBVZd,,,East Exhibition Hall B + C,Representation Learning
Layer-Dependent Importance Sampling for Training Deep and Large Graph Convolutional Networks,Difan Zou · Ziniu Hu · Yewen Wang · Song Jiang · Yizhou Sun · Quanquan Gu,Algorithms,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15623,https://sites.google.com/view/difan-zou/poster3?authuser=0,,,East Exhibition Hall B + C,Representation Learning
Learning elementary structures for 3D shape generation and matching,Theo Deprelle · Thibault Groueix · Matthew Fisher · Vladimir Kim · Bryan Russell · Mathieu Aubry,Algorithms,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15623,http://imagine.enpc.fr/~deprellt/atlasnet2/,http://imagine.enpc.fr/~deprellt/atlasnet2/,,East Exhibition Hall B + C,Representation Learning
Learning from brains how to regularize machines,Zhe Li · Wieland Brendel · Edgar Walker · Erick Cobos · Taliah Muhammad · Jacob Reimer · Matthias Bethge · Fabian Sinz · Zachary Pitkow · Andreas Tolias,Algorithms,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15623,https://www.dropbox.com/s/qjlhgs4uinz1j6r/neurips_2019_poster.pdf?dl=0,,,East Exhibition Hall B + C,Representation Learning
Rethinking Kernel Methods for Node Representation Learning on Graphs,Yu Tian · Long Zhao · Xi Peng · Dimitris Metaxas,Algorithms,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15623,https://github.com/bluer555/KernelGCN,,,East Exhibition Hall B + C,Representation Learning
Slice-based Learning: A Programming Model for Residual Learning in Critical Data Slices,Vincent Chen · Sen Wu · Alexander Ratner · Jen Weng · Christopher Ré,Algorithms,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15623,,https://www.dropbox.com/s/zu6hno2holx52nm/neurips19_slides.pdf?dl=0,,East Exhibition Hall B + C,Representation Learning
Deep Supervised Summarization: Algorithm and Application to Learning Instructions,Chengguang Xu · Ehsan Elhamifar,Algorithms,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15623,,http://khoury.neu.edu/home/eelhami/publications/neurips19_supfl.pdf,,East Exhibition Hall B + C,Representation Learning
Unsupervised Emergence of Egocentric Spatial Structure from Sensorimotor Prediction,Alban Laflaquière · Michael Garcia Ortiz,Algorithms,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15623,,https://www.dropbox.com/sh/6jcy6mq1tp2u8th/AAD8aQiSvCybLKSL4kA-wdhia?dl=0,https://www.dropbox.com/sh/6jcy6mq1tp2u8th/AAD8aQiSvCybLKSL4kA-wdhia?dl=0,East Exhibition Hall B + C,Representation Learning
Unsupervised State Representation Learning in Atari,Ankesh Anand · Evan Racah · Sherjil Ozair · Yoshua Bengio · Marc-Alexandre Côté · R Devon Hjelm,Algorithms,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15623,https://github.com/mila-iqia/atari-representation-learning/blob/master/Poster.pdf,https://github.com/mila-iqia/atari-representation-learning/blob/master/Slides.pdf,,East Exhibition Hall B + C,Representation Learning
What the Vec? Towards Probabilistically Grounded Embeddings,Carl Allen · Ivana Balazevic · Timothy Hospedales,Algorithms,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15623,https://drive.google.com/open?id=1uyQ8hsd65Q_oZA4Z4A0QgUVopqFvUe2S,,,East Exhibition Hall B + C,Representation Learning
Assessing Disparate Impact of Personalized Interventions: Identifiability and Bounds,Nathan Kallus · Angela Zhou,Applications,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15624,,https://github.com/CausalML/interventions-disparate-impact-responders/blob/master/fair-interventions-monotonicity.pdf,,East Exhibition Hall B + C,"Fairness, Accountability, and Transparency"
Assessing Social and Intersectional Biases in Contextualized Word Representations,Yi Chern Tan · L. Elisa Celis,Applications,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15624,,https://docs.google.com/presentation/d/1hjHB6ePSs0BlgQDdDOya8f34SJFS1UQAc2hHn1LSRBY/edit#slide=id.p,,East Exhibition Hall B + C,"Fairness, Accountability, and Transparency"
Balancing Efficiency and Fairness in On-Demand Ridesourcing,Nixie S Lesmana · Xuan Zhang · Xiaohui Bei,Applications,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15624,http://bit.ly/Balancing-Efficiency-and-Fairness-in-On-Demand-Ridesourcing-Poster,,,East Exhibition Hall B + C,"Fairness, Accountability, and Transparency"
Characterizing Bias in Classifiers using Generative Models,Daniel McDuff · Shuang Ma · Yale Song · Ashish Kapoor,Applications,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15624,https://github.com/danmcduff/characterizingBias/blob/master/NeurIPS_19_Poster.pdf,,,East Exhibition Hall B + C,"Fairness, Accountability, and Transparency"
Demystifying Black-box Models with Symbolic Metamodels,Ahmed Alaa · Mihaela van der Schaar,Applications,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15624,,https://github.com/ahmedmalaa/Symbolic-Metamodeling/blob/master/related%20material/Metamodeling.pdf,,East Exhibition Hall B + C,"Fairness, Accountability, and Transparency"
Envy-Free Classification,Maria-Florina Balcan · Travis Dick · Ritesh Noothigattu · Ariel Procaccia,Applications,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15624,https://www.dropbox.com/s/ie5k3p7bxn6fzyt/EnvyFreePoster.pdf?dl=0,,,East Exhibition Hall B + C,"Fairness, Accountability, and Transparency"
Fair Algorithms for Clustering,Suman Bera · Deeparnab Chakrabarty · Nicolas Flores · Maryam Negahbani,Applications,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15624,https://drive.google.com/file/d/16Mtli1AsieNtlX5pwwjUdVT3SHVg6g5W/,https://drive.google.com/file/d/1wm0f4MvIhFBF5Dhbfkl4B7j7KarEps3j/,,East Exhibition Hall B + C,"Fairness, Accountability, and Transparency"
Modeling Conceptual Understanding in Image Reference Games,Rodolfo Corona Rodriguez · Stephan Alaniz · Zeynep Akata,Applications,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15624,https://drive.google.com/file/d/0B1DQVNsnBlSFU1lwNXNIX0h0ektfalc1dktJdGJNTkNTT0FB/view?usp=sharing,,,East Exhibition Hall B + C,"Fairness, Accountability, and Transparency"
Multi-Criteria Dimensionality Reduction with Applications to Fairness,Uthaipon Tantipongpipat · Samira Samadi · Mohit Singh · Jamie Morgenstern · Santosh Vempala,Applications,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15624,https://github.com/uthaipon/multi-criteria-dimensionality-reduction,https://github.com/uthaipon/multi-criteria-dimensionality-reduction,https://youtu.be/aR64H5Jn0gY,East Exhibition Hall B + C,"Fairness, Accountability, and Transparency"
Noise-tolerant fair classification,Alex Lamy · Ziyuan Zhong · Aditya Menon · Nakul Verma,Applications,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15624,https://docs.google.com/presentation/d/1sZS5ugv64G4xINW-mpzYvbfmoTZdBNUQb3pPDk1vve4/edit?usp=sharing,,,East Exhibition Hall B + C,"Fairness, Accountability, and Transparency"
On the Accuracy of Influence Functions for Measuring Group Effects,Pang Wei Koh · Kai-Siang Ang · Hubert Teo · Percy Liang,Applications,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15624,http://cs.stanford.edu/~pangwei/group_influence_poster.pdf,,,East Exhibition Hall B + C,"Fairness, Accountability, and Transparency"
Paradoxes in Fair Machine Learning,Paul Goelz · Anson Kahng · Ariel Procaccia,Applications,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15624,,https://www.cs.cmu.edu/~akahng/slides/Paradoxes-NeurIPS.pdf,,East Exhibition Hall B + C,"Fairness, Accountability, and Transparency"
PC-Fairness: A Unified Framework for Measuring Causality-based Fairness,Yongkai Wu · Lu Zhang · Xintao Wu · Hanghang Tong,Applications,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15624,http://tiny.cc/pc-fairness-poster,http://tiny.cc/pc-fairness-slides,,East Exhibition Hall B + C,"Fairness, Accountability, and Transparency"
This Looks Like That: Deep Learning for Interpretable Image Recognition,Chaofan Chen · Oscar Li · Daniel Tao · Alina Barnett · Cynthia Rudin · Jonathan K Su,Applications,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15624,,,https://youtu.be/k3IQnRsl9U4,East Exhibition Hall B + C,"Fairness, Accountability, and Transparency"
Towards Automatic Concept-based Explanations,Amirata Ghorbani · James Wexler · James Zou · Been Kim,Applications,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15624,,https://docs.google.com/presentation/d/1sI7owsOdAKg2hwvAuB6qBGGKP_dXIK_21gH_-KZi9HU/edit?usp=sharing,,East Exhibition Hall B + C,"Fairness, Accountability, and Transparency"
Adversarial Training and Robustness for Multiple Perturbations,Florian Tramer · Dan Boneh,Applications,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15625,,https://floriantramer.com/docs/slides/multirobustness19_video.pptx,https://www.youtube.com/watch?v=aUDkfVd3t_8,East Exhibition Hall B + C,"Privacy, Anonymity, and Security"
Devign: Effective Vulnerability Identification by Learning Comprehensive Program Semantics via Graph Neural Networks,Yaqin Zhou · Shangqing Liu · Jingkai Siow · Xiaoning Du · Yang Liu,Applications,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15625,https://www.dropbox.com/s/blljmgx9saah5tz/devign-poster-48x96-template-kensington.pptx?dl=0,,,East Exhibition Hall B + C,"Privacy, Anonymity, and Security"
Differentially Private Distributed Data Summarization under Covariate Shift,Kanthi Sarpatwar · Karthikeyan Shanmugam · Venkata Sitaramagiridharganesh Ganapavarapu · Ashish Jagmohan · Roman Vaculin,Applications,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15625,https://ibm.box.com/v/DiffPrivDistSumm-Poster,https://ibm.box.com/v/DiffPrivDistSumm-Poster,,East Exhibition Hall B + C,"Privacy, Anonymity, and Security"
Private Hypothesis Selection,Mark Bun · Gautam Kamath · Thomas Steinke · Steven Wu,Applications,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15625,,http://www.gautamkamath.com/talks/phs_neurips.pdf,,East Exhibition Hall B + C,"Privacy, Anonymity, and Security"
Facility Location Problem in Differential Privacy Model Revisited ,Yunus Esencayi · Marco Gaboardi · Shi Li · Di Wang,Applications,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15625,https://www.acsu.buffalo.edu/~yunusese/poster.pdf,,,East Exhibition Hall B + C,"Privacy, Anonymity, and Security"
KNG: The K-Norm Gradient Mechanism,Matthew Reimherr · Jordan Awan,Applications,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15625,http://personal.psu.edu/~mlr36/Documents/KNG_Poster.pdf,,,East Exhibition Hall B + C,"Privacy, Anonymity, and Security"
Locally Private Learning without Interaction Requires Separation,Amit Daniely · Vitaly Feldman,Applications,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15625,,http://vtaly.net/slides/Adaptive-LPD-long-talk.pdf,,East Exhibition Hall B + C,"Privacy, Anonymity, and Security"
Lower Bounds on Adversarial Robustness from Optimal Transport,Arjun Nitin Bhagoji · Daniel Cullina · Prateek Mittal,Applications,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15625,https://www.dropbox.com/s/beojjpmqjoryaii/poster_2019.pdf?dl=0,https://www.dropbox.com/s/wqgifswj0nlv23m/lower_bounds_new.pdf?dl=0,,East Exhibition Hall B + C,"Privacy, Anonymity, and Security"
On Differentially Private Graph Sparsification and Applications,Raman Arora · Jalaj Upadhyay,Applications,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15625,,https://www.dropbox.com/sh/idv9o5e189mqsk5/AAA_Pfwq09r7SXUPI3aRbgHFa?dl=0,,East Exhibition Hall B + C,"Privacy, Anonymity, and Security"
Privacy-Preserving Q-Learning with Functional Noise in Continuous Spaces,Baoxiang Wang · Nidhi Hegde,Applications,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15625,https://github.com/wangbx66/wangbx66.github.io/blob/master/pprl-poster.pdf,,,East Exhibition Hall B + C,"Privacy, Anonymity, and Security"
REM: From Structural Entropy to Community Structure Deception ,Yiwei Liu · Jiamou Liu · Zijian Zhang · Liehuang Zhu · Angsheng Li,Applications,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15625,https://github.com/CommunityDeception/CommunityDeceptor/blob/master/NeurIPS19_Poster.pdf,,,East Exhibition Hall B + C,"Privacy, Anonymity, and Security"
Rethinking Deep Neural Network Ownership Verification: Embedding Passports to Defeat Ambiguity Attacks,Lixin Fan · Kam Woh Ng · Chee Seng Chan,Applications,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15625,https://kamwoh.github.io/DeepIPR/,https://kamwoh.github.io/DeepIPR/,,East Exhibition Hall B + C,"Privacy, Anonymity, and Security"
SHE: A Fast and Accurate Deep Neural Network for Encrypted Data,Qian Lou · Lei Jiang,Applications,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15625,https://github.com/qianlou/SHE/blob/master/files/poster.pdf,https://github.com/qianlou/SHE/blob/master/files/SHE_slides.pdf,,East Exhibition Hall B + C,"Privacy, Anonymity, and Security"
Theoretical evidence for adversarial robustness through randomization,Rafael Pinot · Laurent Meunier · Alexandre Araujo · Hisashi Kashima · Florian Yger · Cedric Gouy-Pailler · Jamal Atif,Applications,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15625,https://rpinot.github.io/publication/neurips2019/Poster_NeuriPS2019.pdf,,,East Exhibition Hall B + C,"Privacy, Anonymity, and Security"
Cross-sectional Learning of Extremal Dependence among Financial Assets,Xing Yan · Qi Wu · Wen Zhang,Applications,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15626,https://sites.google.com/view/xingyan,,,East Exhibition Hall B + C,Quantitative Finance and Econometrics
Diffeomorphic Temporal Alignment Nets,Ron A Shapira Weber · Matan Eyal · Nicki Skafte · Oren Shriki · Oren Freifeld,Applications,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15627,,https://github.com/BGU-CS-VIL/dtan/blob/master/slides/DTAN_NeurIPS_authors_summary.pdf,,East Exhibition Hall B + C,Time Series Analysis
DTWNet: a Dynamic Time Warping Network,Xingyu Cai · Tingyang Xu · Jinfeng Yi · Junzhou Huang · Sanguthevar Rajasekaran,Applications,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15627,https://github.com/TideDancer/DTWNet/blob/master/poster/main.pdf,,,East Exhibition Hall B + C,Time Series Analysis
Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting,Shiyang Li · Xiaoyong Jin · Yao Xuan · Xiyou Zhou · Wenhu Chen · Yu-Xiang Wang · Xifeng Yan,Applications,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15627,https://github.com/LeeShiyang/Poster/blob/master/NeurIPS_Poster.pdf,,,East Exhibition Hall B + C,Time Series Analysis
Fully Neural Network based Model for General Temporal Point Processes,Takahiro Omi · naonori ueda · Kazuyuki Aihara,Applications,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15627,https://omitakahiro.github.io/files/slide/NeurIPS2019.pdf,,,East Exhibition Hall B + C,Time Series Analysis
GRU-ODE-Bayes: Continuous Modeling of Sporadically-Observed Time Series,Edward De Brouwer · Jaak Simm · Adam Arany · Yves Moreau,Applications,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15627,,https://docs.google.com/presentation/d/1tS8Edq3DrKhsgMKP_qvv3BG-MBs3yL0GsT33A5zzN4M/edit?usp=sharing,,East Exhibition Hall B + C,Time Series Analysis
High-dimensional multivariate forecasting with low-rank Gaussian Copula Processes,David Salinas · Michael Bohlke-Schneider · Laurent Callot · Roberto Medico · Jan Gasthaus,Applications,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15627,https://www.dropbox.com/s/atpxjf6rslhh47h/mv-poster-neurips.pdf?dl=0,,,East Exhibition Hall B + C,Time Series Analysis
Learning Latent Process from High-Dimensional Event Sequences via Efficient Sampling,Qitian Wu · Zixuan Zhang · Xiaofeng Gao · Junchi Yan · Guihai Chen,Applications,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15627,https://www.dropbox.com/sh/x9p82zhwyqcol90/AAAxDozu8Ob48av-28ZhbuCEa?dl=0,,,East Exhibition Hall B + C,Time Series Analysis
Learning Representations for Time Series Clustering,Qianli Ma · Jiawei Zheng · Sen Li · Gary W Cottrell,Applications,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15627,https://www.overleaf.com/read/qxkcgcnwsrsb,,,East Exhibition Hall B + C,Time Series Analysis
Multi-Resolution Weak Supervision for Sequential Data,Paroma Varma · Frederic Sala · Shiori Sagawa · Jason Fries · Daniel Fu · Saelig Khattar · Ashwini Ramamoorthy · Ke Xiao · Kayvon  Fatahalian · James Priest · Christopher Ré,Applications,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15627,,,http://fredsala.github.io/MultiResWS.mov,East Exhibition Hall B + C,Time Series Analysis
Neural Jump Stochastic Differential Equations,Junteng Jia · Austin Benson,Applications,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15627,,https://github.com/000Justin000/torchdiffeq/blob/jj585/assets/Neural_Jump_SDE_slides.pdf,,East Exhibition Hall B + C,Time Series Analysis
Shape and Time Distortion Loss for Training Deep Time Series Forecasting Models,Vincent LE GUEN · Nicolas THOME,Applications,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15627,https://github.com/vincent-leguen/DILATE/blob/master/poster_DILATE.pdf,,,East Exhibition Hall B + C,Time Series Analysis
"Think Globally, Act Locally: A Deep Neural Network Approach to High-Dimensional Time Series Forecasting",Rajat Sen · Hsiang-Fu Yu · Inderjit S Dhillon,Applications,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15627,https://github.com/rajatsen91/deepglo/blob/master/poster/DeepGLO_Poster.pdf,,,East Exhibition Hall B + C,Time Series Analysis
Unsupervised Scalable Representation Learning for Multivariate Time Series,Jean-Yves Franceschi · Aymeric Dieuleveut · Martin Jaggi,Applications,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15627,https://hal.archives-ouvertes.fr/hal-02320167/document,,,East Exhibition Hall B + C,Time Series Analysis
Convergence of Adversarial Training in Overparametrized Neural Networks,Ruiqi Gao · Tianle Cai · Haochuan Li · Cho-Jui Hsieh · Liwei Wang · Jason Lee,Deep Learning,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15628,,http://tianle.website/files/adv_converge_slides.pdf,,East Exhibition Hall B + C,Adversarial Networks
Discriminator optimal transport,Akinori Tanaka,Deep Learning,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15628,,https://github.com/AkinoriTanaka-phys/DOT/blob/master/subslide.pdf,,East Exhibition Hall B + C,Adversarial Networks
Learning from Label Proportions with Generative Adversarial Networks,Jiabin Liu · Bo Wang · Zhiquan Qi · YingJie Tian · Yong Shi,Deep Learning,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15628,,https://github.com/liujiabin008/LLP-GAN/tree/master/presentation_material/slide,,East Exhibition Hall B + C,Adversarial Networks
Learning GANs and Ensembles Using Discrepancy,Ben Adlam · Corinna Cortes · Mehryar Mohri · Ningshan Zhang,Deep Learning,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15628,,https://www.dropbox.com/s/pwy49jpupgij91h/dgan_slides.pdf?dl=0,,East Exhibition Hall B + C,Adversarial Networks
MarginGAN: Adversarial Training in Semi-Supervised Learning,Jinhao Dong · Tong Lin,Deep Learning,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15628,https://github.com/xdu-DJhao/MarginGAN,,,East Exhibition Hall B + C,Adversarial Networks
Modeling Tabular data using Conditional GAN,Lei Xu · Maria Skoularidou · Alfredo Cuesta-Infante · Kalyan Veeramachaneni,Deep Learning,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15628,,https://leix28.github.io/static/NeurIPS2019_TGAN_poster.pdf,,East Exhibition Hall B + C,Adversarial Networks
Beyond the Single Neuron Convex Barrier for Neural Network Certification,Gagandeep Singh · Rupanshu Ganvir · Markus Püschel · Martin Vechev,Deep Learning,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15628,https://files.sri.inf.ethz.ch/website/slides/kPoly.pdf,,,East Exhibition Hall B + C,Adversarial Networks
Quality Aware Generative Adversarial Networks,KANCHARLA PARIMALA · Sumohana Channappayya,Deep Learning,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15628,https://github.com/lfovia/QAGANS/blob/master/Neurips_Poster_2019_latex.pdf,https://github.com/lfovia/QAGANS/blob/master/QAGAN_PPT.pdf,,East Exhibition Hall B + C,Adversarial Networks
Random deep neural networks are biased towards simple functions,Giacomo De Palma · Bobak Kiani · Seth Lloyd,Deep Learning,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15628,https://github.com/bkiani/random_NN_simplicity,,,East Exhibition Hall B + C,Adversarial Networks
Reducing Noise in GAN Training with Variance Reduced Extragradient,Tatjana Chavdarova · Gauthier Gidel · François Fleuret · Simon Lacoste-Julien,Deep Learning,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15628,https://github.com/Chavdarova/SVRE/blob/master/poster/poster.pdf,https://github.com/Chavdarova/SVRE/tree/master/slides,https://github.com/Chavdarova/SVRE/tree/master/video,East Exhibition Hall B + C,Adversarial Networks
Self-supervised GAN: Analysis and Improvement with Multi-class Minimax Game,Ngoc-Trung Tran · Viet-Hung Tran · Bao-Ngoc Nguyen · Linxiao Yang · Ngai-Man (Man) Cheung,Deep Learning,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15628,https://www.dropbox.com/s/7akd86406cungon/poster.pdf?dl=0,,,East Exhibition Hall B + C,Adversarial Networks
The Point Where Reality Meets Fantasy: Mixed Adversarial Generators for Image Splice Detection,Vladimir V. Kniaz · Vladimir Knyaz · Fabio Remondino,Deep Learning,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15628,https://www.dropbox.com/sh/2oklpl896a2voq9/AAAa751mBQHgNc0-ePmePHZpa?dl=0,,,East Exhibition Hall B + C,Adversarial Networks
Training Language GANs from Scratch,Cyprien de Masson d'Autume · Shakir Mohamed · Mihaela Rosca · Jack Rae,Deep Learning,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15628,https://drive.google.com/file/d/1oabZgcXtYyh_CVXQMcXtdOP_6bJGmHoG/view?usp=sharing,,,East Exhibition Hall B + C,Adversarial Networks
Zero-shot Knowledge Transfer via Adversarial Belief Matching,Paul Micaelli · Amos Storkey,Deep Learning,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15628,,https://drive.google.com/drive/folders/1cuzzJ_Tdzr5KSJVheFtlrHWMt-p-Jnat?usp=sharing,,East Exhibition Hall B + C,Adversarial Networks
A General Theory of Equivariant CNNs on Homogeneous Spaces,Taco S Cohen · Mario Geiger · Maurice Weiler,Deep Learning,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15629,,https://slides.com/mariogeiger/equivariant-cnn#/,,East Exhibition Hall B + C,CNN Architectures
Abstraction based Output Range Analysis for Neural Networks,Pavithra Prabhakar · Zahra Rahimi Afzal,Deep Learning,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15629,,https://gitlab.cs.ksu.edu/zrahimi/nips_slides,,East Exhibition Hall B + C,CNN Architectures
ANODEV2: A Coupled Neural ODE Framework,Tianjun Zhang · Zhewei Yao · Amir Gholami · Joseph Gonzalez · Kurt Keutzer · Michael W Mahoney · George Biros,Deep Learning,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15629,,https://docs.google.com/presentation/d/1_HkEJMRdJORVtAAOEop2ov__EOckUW-xGaQcOTKR9qQ/edit?usp=sharing,,East Exhibition Hall B + C,CNN Architectures
Cascaded Dilated Dense Network with Two-step Data Consistency for MRI Reconstruction,Hao Zheng · Faming Fang · Guixu Zhang,Deep Learning,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15629,https://github.com/tinyRattar/CDDNwithTDC_poster/blob/master/poster.pdf,,,East Exhibition Hall B + C,CNN Architectures
CNN^{2}: Viewpoint Generalization via a Binocular Vision,Wei-Da Chen · Shan-Hung (Brandon) Wu,Deep Learning,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15629,,http://www.cs.nthu.edu.tw/~shwu/pubs/shwu-neurips-19-slides.pdf,,East Exhibition Hall B + C,CNN Architectures
CondConv: Conditionally Parameterized Convolutions for Efficient Inference,Brandon Yang · Gabriel Bender · Quoc V Le · Jiquan Ngiam,Deep Learning,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15629,https://drive.google.com/file/d/1NIueSkknWtpl9vqJSXAj-72iyQBQALOx/view?usp=sharing,,,East Exhibition Hall B + C,CNN Architectures
Convolution with even-sized kernels and symmetric padding,Shuang Wu · Guanrui Wang · Pei Tang · Feng Chen · Luping Shi,Deep Learning,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15629,https://github.com/boluoweifenda/CNN/blob/master/neurips2019_poster.pdf,,,East Exhibition Hall B + C,CNN Architectures
Deep Active Learning with a Neural Architecture Search,Yonatan Geifman · Ran El-Yaniv,Deep Learning,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15629,,https://drive.google.com/open?id=1iCEq9HdvKMpke1D4nX98cJH2UtRfD_FG,,East Exhibition Hall B + C,CNN Architectures
Deep Scale-spaces: Equivariance Over Scale,Daniel Worrall · Max Welling,Deep Learning,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15629,https://github.com/deworrall92/deep-scale-spaces/blob/master/docs/DeepScaleSpacesPoster.pdf,,,East Exhibition Hall B + C,CNN Architectures
DFNets: Spectral CNNs for Graphs with Feedback-Looped Filters,W. O. K. Asiri Suranga Wijesinghe · Qing Wang,Deep Learning,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15629,https://github.com/wokas36/DFNets/tree/master/poster,,,East Exhibition Hall B + C,CNN Architectures
Exploring Unexplored Tensor Network Decompositions for Convolutional Neural Networks,Kohei Hayashi · Taiki Yamaguchi · Yohei Sugawara · Shin-ichi Maeda,Deep Learning,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15629,,https://drive.google.com/open?id=1uPwALxASG8NLgpld4d09XlrCdqI4GG2l,,East Exhibition Hall B + C,CNN Architectures
Finding the Needle in the Haystack with Convolutions: on the benefits of architectural bias,Stéphane d'Ascoli · Levent Sagun · Giulio Biroli · Joan Bruna,Deep Learning,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15629,https://drive.google.com/open?id=1GwwLty-tMFkTvdGmMuxeRvsl12sOVahT,https://drive.google.com/open?id=16clC2b-FOZYJcbGYi-tmkXWsvo5nevzIKeE_680mxCg,,East Exhibition Hall B + C,CNN Architectures
Fixing the train-test resolution discrepancy,Hugo Touvron · Andrea Vedaldi · Matthijs Douze · Herve Jegou,Deep Learning,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15629,https://drive.google.com/open?id=1uNsIrTjAOFQi4PYdvWKsNXRhmNEIU6Kn,,,East Exhibition Hall B + C,CNN Architectures
Gaussian-Based Pooling for Convolutional Neural Networks,Takumi Kobayashi,Deep Learning,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15629,https://staff.aist.go.jp/takumi.kobayashi/publication/2019/NeurIPS2019_poster.pdf,,,East Exhibition Hall B + C,CNN Architectures
General E(2)-Equivariant Steerable CNNs,Maurice Weiler · Gabriele Cesa,Deep Learning,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15629,https://drive.google.com/file/d/1cm3iospaqZqTXFa894gj6y33DXWCifRj/view?usp=sharing,,,East Exhibition Hall B + C,CNN Architectures
Learning Stable Deep Dynamics Models,J. Zico Kolter · Gaurav Manek,Deep Learning,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15629,https://drive.google.com/drive/folders/12KJIZpF1cmPH5AwUEuEU-txyBvtRFMwY?usp=sharing,,,East Exhibition Hall B + C,CNN Architectures
Neural Similarity Learning,Weiyang Liu · Zhen Liu · James M Rehg · Le Song,Deep Learning,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15629,http://wyliu.com/papers/LiuNSL2019_poster.pdf,http://wyliu.com/papers/LiuNSL2019_slides.pdf,http://wyliu.com/,East Exhibition Hall B + C,CNN Architectures
Cross-channel Communication Networks,Jianwei Yang · Zhile Ren · Chuang Gan · Hongyuan Zhu · Devi Parikh,Deep Learning,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15629,https://www.dropbox.com/s/quz6lms92fr7nd9/neurips19_poster_v0.1.pdf?dl=0,,,East Exhibition Hall B + C,CNN Architectures
Positional Normalization,Boyi Li · Felix Wu · Kilian Weinberger · Serge Belongie,Deep Learning,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15629,,https://drive.google.com/drive/folders/1bbIImmdr2UIiFgxibjj8vBb6F45CLg8f?usp=sharing,,East Exhibition Hall B + C,CNN Architectures
Powerset Convolutional Neural Networks,Chris Wendler · Markus Püschel · Dan Alistarh,Deep Learning,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15629,https://acl.inf.ethz.ch/people/chrisw/posters/nips2019-powersetCNN.pdf,,,East Exhibition Hall B + C,CNN Architectures
Preventing Gradient Attenuation in Lipschitz Constrained Convolutional Networks,Qiyang Li · Saminul Haque · Cem Anil · James Lucas · Roger Grosse · Joern-Henrik Jacobsen,Deep Learning,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15629,https://github.com/ColinQiyangLi/LConvNet/blob/master/poster.pdf,,,East Exhibition Hall B + C,CNN Architectures
Self-Routing Capsule Networks,Taeyoung Hahn · Myeongjang Pyeon · Gunhee Kim,Deep Learning,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15629,https://github.com/coder3000/SR-CapsNet/raw/master/misc/neurips2019-self_routing-poster.pdf,,,East Exhibition Hall B + C,CNN Architectures
Temporal FiLM: Capturing Long-Range Sequence Dependencies with Feature-Wise Modulations.,Sawyer Birnbaum · Volodymyr Kuleshov · Zayd Enam · Pang Wei Koh · Stefano Ermon,Deep Learning,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15629,https://drive.google.com/file/d/1BqnGhwN14tcOYCr50jC1J47crgq06aX1/view?usp=sharing,,,East Exhibition Hall B + C,CNN Architectures
A Fourier Perspective on Model Robustness in Computer Vision,Dong Yin · Raphael Gontijo Lopes · Ekin Dogus Cubuk · Justin Gilmer · Jon Shlens,Deep Learning,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15630,https://drive.google.com/open?id=1r_ZzRE2J2MCVZlayNaQsNhfhf135x5DL,,,East Exhibition Hall B + C,Efficient Training Methods
A Graph Theoretic Framework of Recomputation Algorithms for Memory-Efficient Backpropagation,Mitsuru Kusumoto · Takuya Inoue · Gentaro Watanabe · Takuya Akiba · Masanori Koyama,Deep Learning,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15630,https://github.com/pfnet-research/recompute/raw/master/poster/poster.pdf,,,East Exhibition Hall B + C,Efficient Training Methods
A Mean Field Theory of Quantized Deep Networks: The Quantization-Depth Trade-Off,Yaniv Blumenfeld · Dar Gilboa · Daniel Soudry,Deep Learning,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15630,https://www.dropbox.com/s/qnw4j86ynuap802/nips%20poster%20v1.pdf?dl=0,https://www.dropbox.com/s/hm0e4jzbvy74ifs/Quantized%20Mean%20Field%20NIPS%20presentation%20%28PDF%29.pdf?dl=0,,East Exhibition Hall B + C,Efficient Training Methods
AutoAssist: A Framework to Accelerate Training of Deep Neural Networks,Jiong Zhang · Hsiang-Fu Yu · Inderjit S Dhillon,Deep Learning,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15630,https://drive.google.com/file/d/1RNzdNoZ3-I8QLf9r1Mmd421HsOjK6Zqx/view?usp=sharing,,,East Exhibition Hall B + C,Efficient Training Methods
Backprop with Approximate Activations for Memory-efficient Network Training,Ayan Chakrabarti · Benjamin Moseley,Deep Learning,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15630,https://projects.ayanc.org/blpa/poster.pdf,,,East Exhibition Hall B + C,Efficient Training Methods
Bridging Machine Learning and Logical Reasoning by Abductive Learning,Wang-Zhou Dai · Qiuling Xu · Yang Yu · Zhi-Hua Zhou,Deep Learning,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15630,,http://daiwz.net/org/slides/ABL-meetup.html,,East Exhibition Hall B + C,Efficient Training Methods
E2-Train: Training State-of-the-art CNNs with Over 80% Less Energy,Ziyu Jiang · Yue Wang · Xiaohan Chen · Pengfei Xu · Yang Zhao · Yingyan Lin · Zhangyang Wang,Deep Learning,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15630,https://rtml.eiclab.net/?page_id=120,,,East Exhibition Hall B + C,Efficient Training Methods
Hybrid 8-bit Floating Point (HFP8) Training and Inference for Deep Neural Networks,Xiao Sun · Jungwook Choi · Chia-Yu Chen · Naigang Wang · Swagath Venkataramani · Vijayalakshmi (Viji) Srinivasan · Xiaodong Cui · Wei Zhang · Kailash Gopalakrishnan,Deep Learning,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15630,https://ibm.box.com/v/neurips2019HFP82711,,,East Exhibition Hall B + C,Efficient Training Methods
Initialization of ReLUs for Dynamical Isometry,Rebekka Burkholz · Alina Dubatovka,Deep Learning,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15630,https://drive.google.com/open?id=1aO5W8fpOMfQYdE0oA6dWPFmfyK5Nb8CQ,,,East Exhibition Hall B + C,Efficient Training Methods
Invert to Learn to Invert,Patrick Putzky · Max Welling,Deep Learning,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15630,,https://drive.google.com/file/d/1XQh4I4H-qmPXoU3AxBzaqAFzIUz0VdTf/view?usp=sharing,,East Exhibition Hall B + C,Efficient Training Methods
Learning Data Manipulation for Augmentation and Weighting,Zhiting Hu · Bowen Tan · Russ Salakhutdinov · Tom Mitchell · Eric Xing,Deep Learning,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15630,,http://www.cs.cmu.edu/~zhitingh/data/neurips19data-manip.pdf,,East Exhibition Hall B + C,Efficient Training Methods
Robust Bi-Tempered Logistic Loss Based on Bregman Divergences,Ehsan Amid · Manfred K. Warmuth · Rohan Anil · Tomer Koren,Deep Learning,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15630,,https://drive.google.com/file/d/1mj8Bu-21WZwXFsOEzvTnk2Y_XGJOYeUJ/view?usp=sharing,,East Exhibition Hall B + C,Efficient Training Methods
When does label smoothing help?,Rafael Müller · Simon Kornblith · Geoffrey E Hinton,Deep Learning,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15630,,https://github.com/rrmuller/labelsmoothing/blob/master/When%20does%20label%20smoothing%20help_%20(neurips).pdf,,East Exhibition Hall B + C,Efficient Training Methods
Explaining Landscape Connectivity of Low-cost Solutions for Multilayer Nets,Rohith Kuditipudi · Xiang Wang · Holden Lee · Yi Zhang · Zhiyuan Li · Wei Hu · Rong Ge · Sanjeev Arora,Deep Learning,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15631,,https://github.com/RohithKuditipudi/mode-connectivity,,East Exhibition Hall B + C,Optimization for Deep Networks
Leader Stochastic Gradient Descent for Distributed Training of Deep Learning Models,Yunfei Teng · Wenbo Gao · François Chalus · Anna Choromanska · Donald Goldfarb · Adrian Weller,Deep Learning,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15631,https://github.com/yunfei-teng/LSGD/blob/master/docs/LSGD_Poster_NeurIPS2019.pdf,,,East Exhibition Hall B + C,Optimization for Deep Networks
Learning Neural Networks with Adaptive Regularization,Han Zhao · Yao-Hung Hubert Tsai · Russ Salakhutdinov · Geoffrey Gordon,Deep Learning,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15631,https://www.dropbox.com/s/h3kc7ij76refqv3/poster.pdf?dl=0,,,East Exhibition Hall B + C,Optimization for Deep Networks
Memory Efficient Adaptive Optimization,Rohan Anil · Vineet Gupta · Tomer Koren · Yoram Singer,Deep Learning,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15631,,https://drive.google.com/open?id=1AMtiYgiAuxI64TcAx3OhSQHSQ7Pem8KJ,,East Exhibition Hall B + C,Optimization for Deep Networks
On the Convergence Rate of Training Recurrent Neural Networks,Zeyuan Allen-Zhu · Yuanzhi Li · Zhao Song,Deep Learning,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15631,http://people.csail.mit.edu/zeyuan/paper/2019-NeurIPS-rnn.pdf,,,East Exhibition Hall B + C,Optimization for Deep Networks
SGD on Neural Networks Learns Functions of Increasing Complexity,Dimitris Kalimeris · Gal Kaplun · Preetum Nakkiran · Benjamin Edelman · Tristan Yang · Boaz Barak · Haofeng Zhang,Deep Learning,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15631,https://www.dropbox.com/s/45b77njkfzxpws7/poster_neurips.pdf?dl=0,https://www.dropbox.com/s/59qrqxj8bixws3l/sgd_complexity_neurips.pdf?dl=0,,East Exhibition Hall B + C,Optimization for Deep Networks
Towards Understanding the Importance of Shortcut Connections in Residual Networks,Tianyi Liu · Minshuo Chen · Mo Zhou · Simon Du · Enlu Zhou · Tuo Zhao,Deep Learning,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15631,https://github.com/ltydhr/Resnet/blob/master/ResNet_nips2019.pdf,,,East Exhibition Hall B + C,Optimization for Deep Networks
Trivializations for Gradient-Based Optimization on Manifolds,Mario Lezcano Casado,Deep Learning,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15631,https://drive.google.com/file/d/1nVMS2vz0HBJ27uZninREUNh4urLmiHn9/view?usp=sharing,,,East Exhibition Hall B + C,Optimization for Deep Networks
Using Statistics to Automate Stochastic Optimization,Hunter Lang · Lin Xiao · Pengchuan Zhang,Deep Learning,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15631,http://www.mit.edu/~hjl/sasa_poster.pdf,,,East Exhibition Hall B + C,Optimization for Deep Networks
Which Algorithmic Choices Matter at Which Batch Sizes?  Insights From a Noisy Quadratic Model,Guodong Zhang · Lala Li · Zachary Nado · James Martens · Sushant Sachdeva · George Dahl · Chris Shallue · Roger Grosse,Deep Learning,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15631,https://drive.google.com/file/d/102Z85I5kNjjZlroekuZYrIZN8hYGt3Rt/view?usp=sharing,,,East Exhibition Hall B + C,Optimization for Deep Networks
Wide Neural Networks of Any Depth Evolve as Linear Models Under Gradient Descent,Jaehoon Lee · Lechao Xiao · Samuel Schoenholz · Yasaman Bahri · Roman Novak · Jascha Sohl-Dickstein · Jeffrey Pennington,Deep Learning,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15631,https://github.com/google/neural-tangents/raw/master/presentation/neurips_linearization_poster.pdf,,,East Exhibition Hall B + C,Optimization for Deep Networks
A Bayesian Theory of Conformity in Collective Decision Making,Koosha Khalvati · Saghar Mirbagheri · Seongmin A. Park · Jean-Claude Dreher · Rajesh PN Rao,Neuroscience and Cognitive Science,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15632,,https://homes.cs.washington.edu/~koosha/files/khalvati_NeurIPS19_slides.pdf,,East Exhibition Hall B + C,Cognitive Science
Modeling Expectation Violation in Intuitive Physics with Coarse Probabilistic Object Representations,Kevin Smith · Lingjie Mei · Shunyu Yao · Jiajun Wu · Elizabeth Spelke · Josh Tenenbaum · Tomer Ullman,Neuroscience and Cognitive Science,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15632,,,https://www.youtube.com/watch?v=95HlF9nCca4&feature=youtu.be,East Exhibition Hall B + C,Cognitive Science
Compositional generalization through meta sequence-to-sequence learning,Brenden Lake,Neuroscience and Cognitive Science,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15632,https://github.com/brendenlake/meta_seq2seq,,,East Exhibition Hall B + C,Cognitive Science
Universality and individuality in neural dynamics across large populations of recurrent networks,Niru Maheswaranathan · Alex Williams · Matthew Golub · Surya Ganguli · David Sussillo,Neuroscience and Cognitive Science,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15632,https://drive.google.com/open?id=1UFIrmj7OuMcsfVfNd3DuAHaghubE8rcy,https://drive.google.com/open?id=1ymOyA5551E4Bplwuv61FUPAWwUQ21irK,,East Exhibition Hall B + C,Cognitive Science
A neurally plausible model for online recognition and postdiction in a dynamical environment,Li Kevin Wenliang · Maneesh Sahani,Neuroscience and Cognitive Science,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15633,,https://kevin-w-li.github.io/pubs/ddc_postdict_tricentre.pdf,,East Exhibition Hall B + C,Neural Coding
A Normative Theory for Causal Inference and Bayes Factor Computation in Neural Circuits,Wenhao Zhang · Si Wu · Brent Doiron · Tai Sing Lee,Neuroscience and Cognitive Science,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15633,,https://drive.google.com/file/d/14AcrqyDuzLQuKsrn5jda7ILnvGq3FxLn/view?usp=sharing,,East Exhibition Hall B + C,Neural Coding
A unified theory for the origin of grid cells through the lens of pattern formation,Ben Sorscher · Gabriel Mel · Surya Ganguli · Samuel Ocko,Neuroscience and Cognitive Science,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15633,,https://ganguli-lab.github.io/grid-pattern-formation/,,East Exhibition Hall B + C,Neural Coding
Approximate Bayesian Inference for a Mechanistic Model of Vesicle Release at a Ribbon Synapse,Cornelius Schröder · Ben James  · Leon Lagnado · Philipp Berens,Neuroscience and Cognitive Science,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15633,https://github.com/berenslab/abc-ribbon,,,East Exhibition Hall B + C,Neural Coding
Bipartite expander Hopfield networks as self-decoding high-capacity error correcting codes,Rishidev Chaudhuri · Ila Fiete,Neuroscience and Cognitive Science,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15633,,https://chaudhurilab.ucdavis.edu/ecc_hopf_net_paper,,East Exhibition Hall B + C,Neural Coding
Comparison Against Task Driven Artificial Neural Networks Reveals Functional Properties in Mouse Visual Cortex,Jianghong Shi · Eric Shea-Brown · Michael Buice,Neuroscience and Cognitive Science,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15633,https://jianghongshi.com/assets/pdf/neurips19_poster.pdf,,,East Exhibition Hall B + C,Neural Coding
Flexible information routing in neural populations through stochastic comodulation,Caroline Haimerl · Cristina Savin · Eero Simoncelli,Neuroscience and Cognitive Science,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15633,https://drive.google.com/drive/folders/1VNIHCEOdgJnBHtXj3nxE87uOj05Q5N3L?usp=sharing,,,East Exhibition Hall B + C,Neural Coding
Nonlinear scaling of resource allocation in sensory bottlenecks,Laura Rose Edmondson · Alejandro Jimenez Rodriguez · Hannes P. Saal,Neuroscience and Cognitive Science,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15633,,,https://www.youtube.com/watch?v=M6ohnt_6J9Q,East Exhibition Hall B + C,Neural Coding
A Similarity-preserving Network Trained on Transformed Images Recapitulates Salient Features of the Fly Motion Detection Circuit,Yanis Bahroun · Dmitri Chklovskii · Anirvan Sengupta,Neuroscience and Cognitive Science,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15634,https://www.dropbox.com/sh/tzydm2qsd4mq29q/AADrA1RGrBKmZKDMGCSgFtova?dl=0,,,East Exhibition Hall B + C,Neuroscience
BehaveNet: nonlinear embedding and Bayesian neural decoding of behavioral videos,Eleanor Batty · Matthew Whiteway · Shreya Saxena · Dan Biderman · Taiga Abe · Simon Musall · Winthrop Gillis · Jeffrey Markowitz · Anne Churchland · John Cunningham · Sandeep R Datta · Scott Linderman · Liam Paninski,Neuroscience and Cognitive Science,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15634,https://drive.google.com/open?id=1jXR74rdiA0i097DOTmB8bWrzDYo2kTkh,,,East Exhibition Hall B + C,Neuroscience
Brain-Like Object Recognition with High-Performing Shallow Recurrent ANNs,Jonas Kubilius · Martin Schrimpf · Ha Hong · Najib Majaj · Rishi Rajalingham · Elias Issa · Kohitij Kar · Pouya Bashivan · Jonathan Prescott-Roy · Kailyn Schmidt · Aran Nayebi · Daniel Bear · Daniel Yamins · James J DiCarlo,Neuroscience and Cognitive Science,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15634,,https://github.com/dicarlolab/neurips2019/blob/master/slides.pdf,https://cbmm.mit.edu/video/brain-object-recognition-high-performing-shallow-recurrent-anns,East Exhibition Hall B + C,Neuroscience
Infra-slow brain dynamics as a marker for cognitive function and decline,Shagun Ajmera Shyam Sunder Ajmera · Shreya Rajagopal · Razi Rehman · Devarajan Sridharan,Neuroscience and Cognitive Science,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15634,https://figshare.com/s/d4e7bef0776ca88e9ac8,,,East Exhibition Hall B + C,Neuroscience
Abstract Reasoning with Distracting Features,Kecheng Zheng · Zheng-Jun Zha · Wei Wei,Neuroscience and Cognitive Science,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15635,https://pan.baidu.com/s/1-2bzFaQDq9aMHtX7pS7wFw,,,East Exhibition Hall B + C,Reasoning
Learning Perceptual Inference by Contrasting,Chi Zhang · Baoxiong Jia · Feng Gao · Yixin Zhu · HongJing Lu · Song-Chun Zhu,Neuroscience and Cognitive Science,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15635,http://wellyzhang.github.io/project/copinet.html,http://wellyzhang.github.io/project/copinet.html,,East Exhibition Hall B + C,Reasoning
A Linearly Convergent Method for Non-Smooth Non-Convex Optimization on the Grassmannian with Applications to Robust Subspace and Dictionary Learning,Zhihui Zhu · Tianyu Ding · Daniel Robinson · Manolis Tsakiris · René Vidal,Optimization,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15636,http://cis.jhu.edu/~zhihui/materials/NIPS19-Grassmann-poster.pdf,,,East Exhibition Hall B + C,Non-Convex Optimization
Competitive Gradient Descent,Florian Schaefer · Anima Anandkumar,Optimization,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15636,,https://f-t-s.github.io/assets/pdf/slides_cgd.pdf,,East Exhibition Hall B + C,Non-Convex Optimization
DINGO: Distributed Newton-Type Method for Gradient-Norm Optimization,Rixon Crane · Fred Roosta,Optimization,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15636,https://rixonc.github.io/DINGO_NeurIPS_Poster.pdf,,,East Exhibition Hall B + C,Non-Convex Optimization
Efficient Smooth Non-Convex Stochastic Compositional Optimization via Stochastic Recursive Gradient Descent,Huizhuo Yuan · Xiangru Lian · Chris Junchi Li · Ji Liu · Wenqing Hu,Optimization,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15636,https://github.com/angeoz/SCGD/blob/master/poster_main.pdf,,,East Exhibition Hall B + C,Non-Convex Optimization
Efficiently avoiding saddle points with zero order methods: No gradients required ,Emmanouil-Vasileios Vlatakis-Gkaragkounis · Lampros Flokas · Georgios Piliouras,Optimization,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15636,http://www.cs.columbia.edu/~emvlatakis/Posters/Poincare_Recurrence_Cycles_and_Spurious_Equilibria_in_Gradient-Descent-Ascent_for_Non-Convex_Non-Concave_Zero-Sum_Games.html,http://www.cs.columbia.edu/~emvlatakis/Presentations/Poincare_Recurrence_Cycles_and_Spurious_Equilibria_in_Gradient-Descent-Ascent_for_Non-Convex_Non-Concave_Zero-Sum_Games.html,http://www.cs.columbia.edu/~emvlatakis/Videos/Poincare_Recurrence_Cycles_and_Spurious_Equilibria_in_Gradient-Descent-Ascent_for_Non-Convex_Non-Concave_Zero-Sum_Games.html,East Exhibition Hall B + C,Non-Convex Optimization
Escaping from saddle points on Riemannian manifolds,Yue Sun · Nicolas Flammarion · Maryam Fazel,Optimization,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15636,,http://students.washington.edu/yuesun/slides.pdf,,East Exhibition Hall B + C,Non-Convex Optimization
Exponentially convergent stochastic k-PCA without variance reduction,Cheng Tang,Optimization,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15636,,"https://github.com/tcheng7/neurips19
(https://github.com/tcheng7/neurips19/blob/master/15mins_slides.pdf)",,East Exhibition Hall B + C,Non-Convex Optimization
First-order methods almost always avoid saddle points: The case of vanishing step-sizes,Ioannis Panageas · Georgios Piliouras · Xiao Wang,Optimization,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15636,https://panageas.github.io/files/NIPS19_poster.pdf,,,East Exhibition Hall B + C,Non-Convex Optimization
Learning Sparse Distributions using Iterative Hard Thresholding,Jacky Y Zhang · Rajiv Khanna · Anastasios Kyrillidis · Oluwasanmi Koyejo,Optimization,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15636,https://drive.google.com/open?id=1HmGujTTjsXPAx7iNbeZAHTtDUZHkaeT1,,,East Exhibition Hall B + C,Non-Convex Optimization
Local SGD with  Periodic Averaging: Tighter Analysis  and Adaptive Synchronization ,Farzin Haddadpour · Mohammad Mahdi Kamani · Mehrdad Mahdavi · Viveck Cadambe,Optimization,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15636,https://github.com/mmkamani7/LUPA-SGD/tree/master/Presentation%20Material,,,East Exhibition Hall B + C,Non-Convex Optimization
Max-value Entropy Search for Multi-Objective Bayesian Optimization,Syrine Belakaria · Aryan Deshwal · Janardhan Rao Doppa,Optimization,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15636,https://drive.google.com/file/d/14eXc8FxaRGIfPuG59rGFIQz8SLYaoXnO/view?usp=sharing,,,East Exhibition Hall B + C,Non-Convex Optimization
Solving a Class of Non-Convex Min-Max Games Using Iterative First Order Methods,Maher Nouiehed · Maziar Sanjabi · Tianjian Huang · Jason Lee · Meisam Razaviyayn,Optimization,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15636,,https://www.dropbox.com/s/ddnflp5qfzxsbj0/Neurips.pdf?dl=0,,East Exhibition Hall B + C,Non-Convex Optimization
Alleviating Label Switching with Optimal Transport,Pierre Monteiller · Sebastian Claici · Edward Chien · Farzaneh Mirzazadeh · Justin M Solomon · Mikhail Yurochkin,Optimization,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15637,https://github.com/pierremon/label-switching,,,East Exhibition Hall B + C,Stochastic Optimization
Beating SGD Saturation with Tail-Averaging  and Minibatching,Nicole Muecke · Gergely Neu · Lorenzo Rosasco,Optimization,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15637,https://www.isa.uni-stuttgart.de/institut/team/Muecke-00001/,,,East Exhibition Hall B + C,Stochastic Optimization
Continuous-time Models for Stochastic Optimization Algorithms,Antonio Orvieto · Aurelien Lucchi,Optimization,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15637,,http://people.inf.ethz.ch/orvietoa/SDE_models.html,,East Exhibition Hall B + C,Stochastic Optimization
Distributed estimation of the inverse Hessian by determinantal averaging,Michal Derezinski · Michael W Mahoney,Optimization,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15637,https://users.soe.ucsc.edu/~mderezin/DM19-poster.pdf,,,East Exhibition Hall B + C,Stochastic Optimization
"The Step Decay Schedule: A Near Optimal, Geometrically Decaying Learning Rate Procedure For Least Squares",Rong Ge · Sham Kakade · Rahul Kidambi · Praneeth Netrapalli,Optimization,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15637,,http://praneethnetrapalli.org/FinalIterate-StepDecay.pdf,,East Exhibition Hall B + C,Stochastic Optimization
"Think out of the ""Box"": Generically-Constrained Asynchronous Composite Optimization and Hedging",Pooria Joulani · András György · Csaba Szepesvari,Optimization,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15637,https://drive.google.com/drive/folders/1K8wPPGTVWsSpztOPv0Q4UX5eitIA9-Bi?usp=sharing,,,East Exhibition Hall B + C,Stochastic Optimization
Variance Reduction for Matrix Games,Yair Carmon · Yujia Jin · Aaron Sidford · Kevin Tian,Optimization,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15637,https://drive.google.com/file/d/11-i3DMcJrwCHiHfb0j3ojcTpQDAzMb06/view?usp=sharing,,,East Exhibition Hall B + C,Stochastic Optimization
Control What You Can: Intrinsically Motivated Task-Planning Agent,Sebastian Blaes · Marin Vlastelica Pogančić · Jiajie Zhu · Georg Martius,Reinforcement Learning and Planning,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15638,,,https://owncloud.tuebingen.mpg.de/index.php/s/M3Ze4GStAn4aZdD,East Exhibition Hall B + C,Planning
Depth-First Proof-Number Search with Heuristic Edge Cost and Application to Chemical Synthesis Planning,Akihiro Kishimoto · Beat Buesser · Bei Chen · Adi Botea,Reinforcement Learning and Planning,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15638,https://www.dropbox.com/s/esr3o8lu1hw6n2l/neurips2019-poster.pdf?dl=0,,,East Exhibition Hall B + C,Planning
Maximum Entropy Monte-Carlo Planning,Chenjun Xiao · Ruitong Huang · Jincheng Mei · Dale Schuurmans · Martin Müller,Reinforcement Learning and Planning,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15638,https://webdocs.cs.ualberta.ca/~chenjun/files/ments-poster.pdf,,,East Exhibition Hall B + C,Planning
"Non-Stationary Markov Decision Processes, a Worst-Case Approach using Model-Based Reinforcement Learning",Erwan Lecarpentier · Emmanuel Rachelson,Reinforcement Learning and Planning,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15638,https://erwanlecarpentier.github.io/pdf/rats-poster.pdf,,,East Exhibition Hall B + C,Planning
Planning in entropy-regularized Markov decision processes and games,Jean-Bastien Grill · Omar Darwiche Domingues · Pierre Menard · Remi Munos · Michal Valko,Reinforcement Learning and Planning,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15638,https://www.dropbox.com/sh/lc5ny4fnmbon9xa/AADEU_Cb5C-Ch7s9nQqlBexTa?dl=0,,,East Exhibition Hall B + C,Planning
Planning with Goal-Conditioned Policies,Soroush Nasiriany · Vitchyr Pong · Steven Lin · Sergey Levine,Reinforcement Learning and Planning,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15638,http://snasiriany.me/files/planning-with-goal-conditioned-policies.pdf,,,East Exhibition Hall B + C,Planning
Regression Planning Networks,Danfei Xu · Roberto Martín-Martín · De-An Huang · Yuke Zhu · Silvio Savarese · Li Fei-Fei,Reinforcement Learning and Planning,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15638,https://drive.google.com/drive/folders/1mRIX9w3qUSY7HDhoFwFnR5cN3ZRa0ixJ?usp=sharing,,,East Exhibition Hall B + C,Planning
Search on the Replay Buffer: Bridging Planning and Reinforcement Learning,Ben Eysenbach · Russ Salakhutdinov · Sergey Levine,Reinforcement Learning and Planning,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15638,,https://ben-eysenbach.github.io/images/sorb_slides.pdf,,East Exhibition Hall B + C,Planning
A Composable Specification Language for Reinforcement Learning Tasks,Kishor Jothimurugan · Rajeev Alur · Osbert Bastani,Reinforcement Learning and Planning,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15639,,https://www.seas.upenn.edu/~kishor/slides/spectrl.pptx,,East Exhibition Hall B + C,Reinforcement Learning
A Generalized Algorithm for Multi-Objective Reinforcement Learning and Policy Adaptation,Runzhe Yang · Xingyuan Sun · Karthik Narasimhan,Reinforcement Learning and Planning,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15639,https://www.cs.princeton.edu/~runzhey/demo/morl-neurips-poster.pdf,,,East Exhibition Hall B + C,Reinforcement Learning
A Kernel Loss for Solving the Bellman Equation,Yihao Feng · Lihong Li · Qiang Liu,Reinforcement Learning and Planning,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15639,https://www.dropbox.com/s/tv6cgyank4xo856/kbe_slides.pdf?dl=0,,,East Exhibition Hall B + C,Reinforcement Learning
Adaptive Temporal-Difference Learning for Policy Evaluation with Per-State Uncertainty Estimates,Carlos Riquelme · Hugo Penedones · Damien Vincent · Hartmut Maennel · Sylvain Gelly · Timothy A Mann · Andre Barreto · Gergely Neu,Reinforcement Learning and Planning,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15639,https://rikel.github.io/AdaptiveTDPoster.pdf,,,East Exhibition Hall B + C,Reinforcement Learning
Curriculum-guided Hindsight Experience Replay,Meng Fang · Tianyi Zhou · Yali Du · Lei Han · Zhengyou Zhang,Reinforcement Learning and Planning,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15639,https://mengf1.github.io/files/posters/CHER-poster.pdf,,,East Exhibition Hall B + C,Reinforcement Learning
Distributional Policy Optimization: An Alternative Approach for Continuous Control,Chen Tessler · Guy Tennenholtz · Shie Mannor,Reinforcement Learning and Planning,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15639,https://static.wixstatic.com/ugd/0a8ace_f0062d45388a4acea525f158016cb55a.pdf,,,East Exhibition Hall B + C,Reinforcement Learning
Mo' States Mo' Problems: Emergency Stop Mechanisms from Observation,Samuel Ainsworth · Matt Barnes · Siddhartha Srinivasa,Reinforcement Learning and Planning,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15639,https://www.dropbox.com/s/mu91zqglvrwpo9r/estop-poster.pdf?dl=0,,,East Exhibition Hall B + C,Reinforcement Learning
Generalization in Reinforcement Learning with Selective Noise Injection and Information Bottleneck,Maximilian Igl · Kamil Ciosek · Yingzhen Li · Sebastian Tschiatschek · Cheng Zhang · Sam Devlin · Katja Hofmann,Reinforcement Learning and Planning,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15639,,,https://1drv.ms/v/s!Aj45y31uNubdlVXufoKxmwAqr0fP?e=TtGFfX,East Exhibition Hall B + C,Reinforcement Learning
Goal-conditioned Imitation Learning,Yiming Ding · Carlos Florensa · Pieter Abbeel · Mariano Phielipp,Reinforcement Learning and Planning,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15639,https://drive.google.com/file/d/16wRHwVmYI7p3KCnm4JlBRowaTta8QiLH/view?usp=sharing,,,East Exhibition Hall B + C,Reinforcement Learning
Gossip-based Actor-Learner Architectures for Deep Reinforcement Learning,"Mahmoud (""Mido"") Assran · Joshua Romoff · Nicolas Ballas · Joelle Pineau · Mike Rabbat",Reinforcement Learning and Planning,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15639,https://www.dropbox.com/sh/1ommra478q2j0mx/AAD8DpJMrnX_jYcfPKrht4nWa?dl=0,https://www.dropbox.com/sh/1ommra478q2j0mx/AAD8DpJMrnX_jYcfPKrht4nWa?dl=0,https://www.dropbox.com/sh/1ommra478q2j0mx/AAD8DpJMrnX_jYcfPKrht4nWa?dl=0,East Exhibition Hall B + C,Reinforcement Learning
Imitation-Projected Programmatic Reinforcement Learning,Abhinav Verma · Hoang Le · Yisong Yue · Swarat Chaudhuri,Reinforcement Learning and Planning,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15639,https://sites.google.com/view/programmatic-rl,https://www.dropbox.com/s/3x5l7v4i0ssxdsf/PROPEL.pdf?dl=0,https://sites.google.com/view/programmatic-rl,East Exhibition Hall B + C,Reinforcement Learning
Reinforcement Learning with Convex Constraints ,Sobhan Miryoosefi · Kianté Brantley · Hal Daume III · Miro Dudik · Robert Schapire,Reinforcement Learning and Planning,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15639,,,,East Exhibition Hall B + C,Reinforcement Learning
RUDDER: Return Decomposition for Delayed Rewards,Jose A. Arjona-Medina · Michael Gillhofer · Michael Widrich · Thomas Unterthiner · Johannes Brandstetter · Sepp Hochreiter,Reinforcement Learning and Planning,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15639,,https://github.com/ml-jku/rudder,,East Exhibition Hall B + C,Reinforcement Learning
Shaping Belief States with Generative Environment Models for RL,Karol Gregor · Danilo Jimenez Rezende · Frederic Besse · Yan Wu · Hamza Merzic · Aaron van den Oord,Reinforcement Learning and Planning,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15639,https://drive.google.com/file/d/1F8I4rRXP6ET6r2MYVfSLyGIcZmYiBPD1/view?usp=sharing,,,East Exhibition Hall B + C,Reinforcement Learning
Towards Interpretable Reinforcement Learning Using Attention Augmented Agents,Alexander Mott · Daniel Zoran · Mike Chrzanowski · Daan Wierstra · Danilo Jimenez Rezende,Reinforcement Learning and Planning,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15639,https://sites.google.com/view/s3ta-poster,,,East Exhibition Hall B + C,Reinforcement Learning
Efficient Near-Optimal Testing of Community Changes in Balanced Stochastic Block Models,Aditya Gangrade · Praveen Venkatesh · Bobak Nazer · Venkatesh Saligrama,Theory,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15640,https://www.overleaf.com/read/pjszwrbtmxrz,,,East Exhibition Hall B + C,Information Theory
Estimating Entropy of Distributions in Constant Space,Jayadev Acharya · Sourbh Bhadane · Piotr Indyk · Ziteng Sun,Theory,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15640,https://www.dropbox.com/s/51tycqwop83ffwb/neurips_poster.pdf?dl=0,,,East Exhibition Hall B + C,Information Theory
Gradient Information for Representation and Modeling,Jie Ding · Robert Calderbank · Vahid Tarokh,Theory,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15640,,http://jding.org/jie-uploads/2019/10/PDF-of-slides-summarizing-the-paper.pdf,,East Exhibition Hall B + C,Information Theory
On The Classification-Distortion-Perception Tradeoff,Dong Liu · Haochen Zhang · Zhiwei Xiong,Theory,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15640,https://github.com/AlanZhang1995/CDP-Tradeoff/blob/master/poster/NIPS2019_Poster_HCZhang.pdf,,,East Exhibition Hall B + C,Information Theory
Statistical-Computational Tradeoff in Single Index Models,Lingxiao Wang · Zhuoran Yang · Zhaoran Wang,Theory,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15640,https://github.com/LWANG0413/Poster_Lower_Bound.git,,,East Exhibition Hall B + C,Information Theory
Structure Learning with Side Information: Sample Complexity,Saurabh Sihag · Ali Tajer,Theory,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15640,https://rpi.box.com/s/4ta8z4s3fw6pizhlmfvrcoq8g5rqwe15,,,East Exhibition Hall B + C,Information Theory
The spiked matrix model with generative priors,Benjamin Aubin · Bruno Loureiro · Antoine Maillard · Florent Krzakala · Lenka Zdeborová,Theory,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15640,https://github.com/benjaminaubin/StructuredPrior_demo/blob/master/Poster/Poster_NeurIPS2019_StructuredPrior.pdf,https://github.com/benjaminaubin/StructuredPrior_demo/blob/master/Slides/Slides_NeurIPS2019_StructuredPrior.pdf,https://youtu.be/0XEVjCL_9Dk,East Exhibition Hall B + C,Information Theory
Turbo Autoencoder: Deep learning based channel codes for point-to-point communication channels,Yihan Jiang · Hyeji Kim · Himanshu Asnani · Sreeram Kannan · Sewoong Oh · Pramod Viswanath,Theory,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15640,,https://github.com/yihanjiang/turboae/blob/master/docs/TurboAE_slides.pdf,,East Exhibition Hall B + C,Information Theory
How degenerate is the parametrization of neural networks with the ReLU activation function?,Dennis Maximilian Elbrächter · Julius Berner · Philipp Grohs,Theory,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15641,https://homepage.univie.ac.at/julius.berner/data/NeurIPS19_Berner.pdf,,,East Exhibition Hall B + C,Regularization
Implicit Regularization in Deep Matrix Factorization,Sanjeev Arora · Nadav Cohen · Wei Hu · Yuping Luo,Theory,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15641,http://www.cohennadav.com/files/reg_dmf_poster.pdf,,,East Exhibition Hall B + C,Regularization
The Impact of Regularization on High-dimensional Logistic Regression,Fariborz Salehi · Ehsan Abbasi · Babak Hassibi,Theory,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15641,,,https://caltech.box.com/s/e8gcoyxd2bwasd6kvkrgxvc9i9osmmmv,East Exhibition Hall B + C,Regularization
The Implicit Bias of AdaGrad on Separable Data,Qian Qian · Xiaoyuan Qian,Theory,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15641,,https://github.com/qianqian513/Implicit-bias-Adagrad/blob/master/Implicit_bias_adagrad.pdf,,East Exhibition Hall B + C,Regularization
"Time Matters in Regularizing Deep Networks: Weight Decay and Data Augmentation Affect Early Learning Dynamics, Matter Little Near Convergence",Aditya Sharad Golatkar · Alessandro Achille · Stefano Soatto,Theory,Poster,Thu Dec 12th 10:45 AM -- 12:45 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15641,https://docs.google.com/presentation/d/1X2pNAWodk-2L-U9CePHAtFtwVeiueWr9fIZK4OITc9E/edit?usp=sharing,,,East Exhibition Hall B + C,Regularization
Average Case Column Subset Selection for Entrywise $\ell_1$-Norm Loss,Zhao Song · David Woodruff · Peilin Zhong,Algorithms,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15642,https://github.com/zpl7840/noise_l1_low_rank_approximation/blob/master/poster.pdf,,,East Exhibition Hall B + C,"Components Analysis (e.g., CCA, ICA, LDA, PCA)"
On Distributed Averaging for Stochastic k-PCA,Aditya Bhaskara · Pruthuvi Wijewardena,Algorithms,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15642,,http://www.cs.utah.edu/~pruthuvi/presentations/dist-stochastic-k-pca.pdf,,East Exhibition Hall B + C,"Components Analysis (e.g., CCA, ICA, LDA, PCA)"
On Robustness of Principal Component Regression,Anish Agarwal · Devavrat Shah · Dennis Shen · Dogyoon Song,Algorithms,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15642,https://www.dropbox.com/s/5b4kw37z0nu5vwp/neurips_poster.pdf?dl=0,https://www.dropbox.com/s/16xxpa2xzddjhqe/neurips_presentation.key?dl=0,,East Exhibition Hall B + C,"Components Analysis (e.g., CCA, ICA, LDA, PCA)"
Towards Practical Alternating Least-Squares for CCA,Zhiqiang Xu · Ping Li,Algorithms,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15642,https://github.com/zhiqiangxu2001/Practical-ALS-CCA.pdf,,,East Exhibition Hall B + C,"Components Analysis (e.g., CCA, ICA, LDA, PCA)"
Unsupervised Discovery of Temporal Structure in Noisy Data with Dynamical Components Analysis,David Clark · Jesse Livezey · Kristofer Bouchard,Algorithms,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15642,https://github.com/BouchardLab/DynamicalComponentsAnalysis/blob/master/NeuripsPoster.pdf,,,East Exhibition Hall B + C,"Components Analysis (e.g., CCA, ICA, LDA, PCA)"
Comparing distributions: $\ell_1$ geometry improves kernel two-sample testing,meyer scetbon · Gael Varoquaux,Algorithms,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15643,https://github.com/meyerscetbon/l1_two_sample_test/blob/master/poster.pdf,,,East Exhibition Hall B + C,Kernel Methods
Distributionally Robust Optimization and Generalization in Kernel Methods,Matthew Staib · Stefanie Jegelka,Algorithms,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15643,,https://www.dropbox.com/s/tzri5uotg0m9cbs/neurips%202019%20slides.pdf?dl=0,,East Exhibition Hall B + C,Kernel Methods
Learning metrics for persistence-based summaries and applications for graph classification,Qi Zhao · Yusu Wang,Algorithms,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15643,https://github.com/topology474/WKPI/blob/master/poster.pdf,,,East Exhibition Hall B + C,Kernel Methods
Minimum Stein Discrepancy Estimators,Alessandro Barp · Francois-Xavier Briol · Andrew Duncan · Mark Girolami · Lester Mackey,Algorithms,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15643,https://www.imperial.ac.uk/people/a.barp16/document/6361/NeurIPS-Poster-DKSD/?NeurIPS-Poster-DKSD.pdf,,,East Exhibition Hall B + C,Kernel Methods
Tight Dimensionality Reduction for Sketching Low Degree Polynomial Kernels,Michela Meister · Tamas Sarlos · David Woodruff,Algorithms,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15643,,https://drive.google.com/drive/folders/1LgGczs11Qnio1RHh7weAAjlZ83-WlQrX?usp=sharing,,East Exhibition Hall B + C,Kernel Methods
Two Generator Game: Learning to Sample via Linear Goodness-of-Fit Test,Lizhong Ding · Mengyang Yu · Li Liu · Fan Zhu · Yong Liu · Yu Li · Ling Shao,Algorithms,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15643,https://github.com/LizhongDing/NeurIPS_2019_Poster.git,,,East Exhibition Hall B + C,Kernel Methods
Wasserstein Weisfeiler-Lehman Graph Kernels,Matteo Togninalli · Elisabetta Ghisu · Felipe Llinares-López · Bastian Rieck · Karsten Borgwardt,Algorithms,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15643,https://github.com/BorgwardtLab/WWL/blob/master/supporting_material/Poster.pdf,,,East Exhibition Hall B + C,Kernel Methods
Dimensionality reduction: theoretical perspective on practical measures,Yair Bartal · Nova Fandina · Ofer Neiman,Algorithms,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15644,,https://www.cse.huji.ac.il/~fandina/slidesJL.pdf,,East Exhibition Hall B + C,Nonlinear Dimensionality Reduction and Manifold Learning
Learning nonlinear level sets for dimensionality reduction in function approximation,Guannan Zhang · Jiaxin Zhang · Jacob Hinkle,Algorithms,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15644,,https://www.dropbox.com/s/7b6sgiv2zasburo/NeurIPS19_poster.pdf?dl=0,,East Exhibition Hall B + C,Nonlinear Dimensionality Reduction and Manifold Learning
No Pressure! Addressing the Problem of Local Minima in Manifold Learning Algorithms,Max Vladymyrov,Algorithms,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15644,https://eng.ucmerced.edu/people/vladymyrov/pp_poster.pdf,https://eng.ucmerced.edu/people/vladymyrov/pp_slides.pdf,,East Exhibition Hall B + C,Nonlinear Dimensionality Reduction and Manifold Learning
Selecting the independent coordinates of manifolds with large aspect ratios,Yu-Chia Chen · Marina Meila,Algorithms,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15644,https://yuchaz.github.io/files/2019-indep-coord-search-poster.pdf,,,East Exhibition Hall B + C,Nonlinear Dimensionality Reduction and Manifold Learning
Subspace Detours: Building Transport Plans that are Optimal on Subspace Projections,Boris Muzellec · Marco Cuturi,Algorithms,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15644,,https://borismuzellec.github.io/publications/slides_subspace_detours.pdf,,East Exhibition Hall B + C,Nonlinear Dimensionality Reduction and Manifold Learning
Unsupervised Co-Learning on $G$-Manifolds Across Irreducible Representations,Yifeng Fan · Tingran Gao · Zhizhen Jane Zhao,Algorithms,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15644,https://docs.google.com/presentation/d/1Tmbp5ejNlbkGehfxi8_jHE3uiTN8JqDGauwP1LJBN_k/edit?usp=sharing,,,East Exhibition Hall B + C,Nonlinear Dimensionality Reduction and Manifold Learning
Dying Experts: Efficient Algorithms with Optimal Regret Bounds,Hamid Shayestehmanesh · Sajjad Azami · Nishant Mehta,Algorithms,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15645,http://web.uvic.ca/~nmehta/dying_experts_neurips2019_poster.pdf,http://web.uvic.ca/~nmehta/dying_experts_neurips2019_slides.pdf,,East Exhibition Hall B + C,Online Learning
Dynamic Local Regret for Non-convex Online Forecasting,Sergul Aydore · Tianhao Zhu · Dean Foster,Algorithms,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15645,,https://www.dropbox.com/s/o9ksm9jv02c9g0q/aydore_neurips2019_online_learning_final.pdf?dl=0,,East Exhibition Hall B + C,Online Learning
Online Convex Matrix Factorization with Representative Regions,Jianhao Peng · Olgica Milenkovic · Abhishek Agarwal,Algorithms,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15645,https://github.com/jianhao2016/online_cvxMF/blob/master/nips-online-cvxMF-poster.pdf,,,East Exhibition Hall B + C,Online Learning
Online Forecasting of Total-Variation-bounded Sequences,Dheeraj Baby · Yu-Xiang Wang,Algorithms,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15645,https://github.com/yuxiangw/tv_online/blob/master/arrows_poster.pdf,https://github.com/yuxiangw/tv_online/blob/master/online_forecasting_talk.pdf,https://slideslive.com/38917673/online-forecasting-of-totalvariationbounded-sequences,East Exhibition Hall B + C,Online Learning
Online Stochastic Shortest Path with Bandit Feedback and Unknown Transition Function,Aviv Rosenberg · Yishay Mansour,Algorithms,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15645,https://drive.google.com/file/d/1hp-HjfwJomfokRJKz6R1xTCBGlnArahM/view?usp=sharing,,,East Exhibition Hall B + C,Online Learning
Private Learning Implies Online Learning: An Efficient Reduction,Alon Gonen · Elad Hazan · Shay Moran,Algorithms,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15645,,https://www.dropbox.com/s/fv0y2839bcpd9vk/nips19.pdf,,East Exhibition Hall B + C,Online Learning
Random Path Selection for Continual Learning,Jathushan Rajasegaran · Munawar Hayat · Salman H Khan · Fahad Shahbaz Khan · Ling Shao,Algorithms,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15645,https://brjathu.github.io/files/NeurIPS2019_Poster.pdf,,,East Exhibition Hall B + C,Online Learning
Superposition of many models into one,Brian Cheung · Alexander Terekhov · Yubei Chen · Pulkit Agrawal · Bruno Olshausen,Algorithms,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15645,,https://docs.google.com/presentation/d/1l0O9ReWbNsswBeWmPZ73IVjID8I-0gqF-A4zdcjH7TY/edit?usp=sharing,,East Exhibition Hall B + C,Online Learning
User-Specified Local Differential Privacy in Unconstrained Adaptive Online Learning,Dirk van der Hoeven,Algorithms,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15645,http://dirkvanderhoeven.com/wp-content/uploads/2019/10/AdaPrivate_Poster.pdf,,,East Exhibition Hall B + C,Online Learning
Are Disentangled Representations Helpful for Abstract Visual Reasoning?,Sjoerd van Steenkiste · Francesco Locatello · Jürgen Schmidhuber · Olivier Bachem,Algorithms,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15623,,https://docs.google.com/presentation/d/e/2PACX-1vQFcgaaVob0IQAPlNO3eXkkv-XmJ45Is8R9hz49l4DYbLGaYRfWvZH2yFdhTn1n9Nhq824tNbQrtWFQ/pub?start=false&loop=false&delayms=3000,,East Exhibition Hall B + C,Representation Learning
CPM-Nets: Cross Partial Multi-View Networks,Changqing Zhang · Zongbo Han · yajie cui · Huazhu Fu · Joey Tianyi Zhou · Qinghua Hu,Algorithms,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15623,,https://github.com/hanmenghan/CPM_Nets/raw/master/slides/CPM-Nets%20Cross%20Partial%20Multi-View%20Networks.pdf,,East Exhibition Hall B + C,Representation Learning
Cross-lingual Language Model Pretraining,Alexis CONNEAU · Guillaume Lample,Algorithms,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15623,,https://drive.google.com/file/d/1qiXJx3ObhOq6SkGVNZnWUlX0Rtoewate/view?usp=sharing,,East Exhibition Hall B + C,Representation Learning
Graph Transformer Networks,Seongjun Yun · Minbyul Jeong · Raehyun Kim · Jaewoo Kang · Hyunwoo Kim,Algorithms,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15623,,https://drive.google.com/file/d/1u0NcLeGup4sV6brh1kawZcb0wRpFtFwG/view?usp=sharing,,East Exhibition Hall B + C,Representation Learning
Learning Representations by Maximizing Mutual Information Across Views,Philip Bachman · R Devon Hjelm · William Buchwalter,Algorithms,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15623,https://drive.google.com/open?id=1cOwSDCUYJ9a-F-WTCogPmURT2fDEgwI-,,,East Exhibition Hall B + C,Representation Learning
Numerically Accurate Hyperbolic Embeddings Using Tiling-Based Models,Tao Yu · Christopher De Sa,Algorithms,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15623,http://www.cs.cornell.edu/~tyu/files/neurips19_poster_hyperbolic.pdf,,,East Exhibition Hall B + C,Representation Learning
On the Fairness of Disentangled Representations,Francesco Locatello · Gabriele Abbati · Thomas Rainforth · Stefan Bauer · Bernhard Schölkopf · Olivier Bachem,Algorithms,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15623,,https://docs.google.com/presentation/d/e/2PACX-1vTJ4BMb-IOKdMFVUnX7Dewwaa_71Ky-uJsJk2liwo3LncUkSj7EhP8y3jVHo9423uo-sufSwG6DawIs/pub?start=true&loop=false&delayms=60000,,East Exhibition Hall B + C,Representation Learning
On the Transfer of Inductive Bias from Simulation to the Real World: a New Disentanglement Dataset,Muhammad Waleed Gondal · Manuel Wuthrich · Djordje Miladinovic · Francesco Locatello · Martin  Breidt · Valentin Volchkov · Joel Akpo · Olivier Bachem · Bernhard Schölkopf · Stefan Bauer,Algorithms,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15623,https://drive.google.com/drive/folders/1f06n12dmbLJhWKrSH_d-bqJf1bocM_Q5,,,East Exhibition Hall B + C,Representation Learning
Stacked Capsule Autoencoders,Adam Kosiorek · Sara Sabour · Yee Whye Teh · Geoffrey E Hinton,Algorithms,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15623,,https://drive.google.com/file/d/1R_Sumf8x3w6XSWv9U4I5LfJ-dsSQP2HT/view?usp=sharing,,East Exhibition Hall B + C,Representation Learning
Understanding the Representation Power of Graph Neural Networks in Learning Graph Topology,Nima Dehmamy · Albert-Laszlo Barabasi · Rose Yu,Algorithms,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15623,https://github.com/nimadehmamy/Understanding-GCN,https://github.com/nimadehmamy/Understanding-GCN,https://github.com/nimadehmamy/Understanding-GCN,East Exhibition Hall B + C,Representation Learning
Wasserstein Dependency Measure for Representation Learning,Sherjil Ozair · Corey Lynch · Yoshua Bengio · Aaron van den Oord · Sergey Levine · Pierre Sermanet,Algorithms,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15623,,https://docs.google.com/presentation/d/1zNxtPc0hd_Rn2gKKnHtjsGz497nt407jhEySIO2Nku0/edit?usp=sharing,,East Exhibition Hall B + C,Representation Learning
Learning step sizes for unfolded sparse coding,Pierre Ablin · Thomas Moreau · Mathurin Massias · Alexandre Gramfort,Algorithms,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15646,https://tommoral.github.io/talks/19_12_12_poster_slista.pdf,,,East Exhibition Hall B + C,Sparse Coding and Dimensionality Expansion
Algorithmic Analysis and Statistical Estimation of SLOPE via Approximate Message Passing,Zhiqi Bu · Jason Klusowski · Cynthia Rush · Weijie Su,Algorithms,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15647,https://drive.google.com/open?id=1W14LZ6193WxENpg1AZlsJeBa6ob01ti-,,,East Exhibition Hall B + C,Sparsity and Compressed Sensing
Algorithmic Guarantees for Inverse Imaging with Untrained Network Priors,Gauri Jagatap · Chinmay Hegde,Algorithms,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15647,,https://gaurijagatap.github.io/assets/NeurIPS19slides.pdf,,East Exhibition Hall B + C,Sparsity and Compressed Sensing
Block Coordinate Regularization by Denoising,Yu Sun · Jiaming Liu · Ulugbek Kamilov,Algorithms,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15647,https://wustl.box.com/s/bludljxgpkr12ipgmy52ju8j5daib3q5,,,East Exhibition Hall B + C,Sparsity and Compressed Sensing
Handling correlated and repeated measurements with the smoothed multivariate square-root Lasso,Quentin Bertrand · Mathurin Massias · Alexandre Gramfort · Joseph Salmon,Algorithms,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15647,https://github.com/QB3/CLaR/blob/master/poster_neurips2019.pdf,https://github.com/QB3/CLaR/blob/master/slides_neurips2019.pdf,,East Exhibition Hall B + C,Sparsity and Compressed Sensing
Efficiently Learning Fourier Sparse Set Functions,Andisheh Amrollahi · Amir Zandieh · Michael Kapralov · Andreas Krause,Algorithms,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15647,,https://github.com/andisheh94/Efficiently-Learning-Fourier-Sparse-Set-Functions,,East Exhibition Hall B + C,Sparsity and Compressed Sensing
Fast Sparse Group Lasso,Yasutoshi Ida · Yasuhiro Fujiwara · Hisashi Kashima,Algorithms,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15647,,https://drive.google.com/file/d/1VrFS_mPKvrjyQuZDK1PJ5ZSAXjd9Q630/view?usp=sharing,,East Exhibition Hall B + C,Sparsity and Compressed Sensing
Global Guarantees for Blind Demodulation with Generative Priors,Paul Hand · Babhru Joshi,Algorithms,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15647,,https://github.com/babhrujoshi/Blind_demod_gen_prior_Presentation_slides,,East Exhibition Hall B + C,Sparsity and Compressed Sensing
Interaction Hard Thresholding: Consistent Sparse Quadratic Regression in Sub-quadratic Time and Space,Shuo Yang · Yanyao Shen · Sujay Sanghavi,Algorithms,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15647,https://www.dropbox.com/s/32metmngl4y0lws/IntHT_poster.pdf?dl=0,,,East Exhibition Hall B + C,Sparsity and Compressed Sensing
"Inverting Deep Generative models, One layer at a time",Qi Lei · Ajil Jalal · Inderjit S Dhillon · Alexandros Dimakis,Algorithms,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15647,https://users.oden.utexas.edu/~leiqi/invert_GAN_poster.pdf,,,East Exhibition Hall B + C,Sparsity and Compressed Sensing
Manifold denoising by Nonlinear Robust Principal Component Analysis,He Lyu · Ningyu Sha · Shuyang Qin · Ming Yan · Yuying Xie · Rongrong Wang,Algorithms,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15647,https://github.com/rrwng/NRPCA/tree/master/poster,,,East Exhibition Hall B + C,Sparsity and Compressed Sensing
Rethinking the CSC Model for Natural Images,Dror Simon · Michael Elad,Algorithms,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15647,https://drive.google.com/open?id=15qS9DO0qf1Ed_E8bFoXN9aHn6TQr5kAJ,,,East Exhibition Hall B + C,Sparsity and Compressed Sensing
Sample Complexity of Learning Mixture of Sparse Linear Regressions,Akshay Krishnamurthy · Arya Mazumdar · Andrew McGregor · Soumyabrata Pal,Algorithms,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15647,https://drive.google.com/file/d/1FOVOUduBnGt-MimCNZ8wgQ1f_vzcRIjO/view?usp=sharing,,,East Exhibition Hall B + C,Sparsity and Compressed Sensing
Sampling Sketches for Concave Sublinear Functions of Frequencies,Edith Cohen · Ofir Geri,Algorithms,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15647,https://github.com/ofirgeri/concave-sublinear-sampling/raw/master/concave_sublinear_sampling_poster.pdf,,,East Exhibition Hall B + C,Sparsity and Compressed Sensing
Screening Sinkhorn Algorithm for Regularized Optimal Transport,Mokhtar Z. Alaya · Maxime Berar · Gilles Gasso · Alain Rakotomamonjy,Algorithms,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15647,,http://mzalaya.github.io/files/papers/screenkhorn_slides_neurips.pdf,,East Exhibition Hall B + C,Sparsity and Compressed Sensing
Solving graph compression via optimal transport,Vikas Garg · Tommi Jaakkola,Algorithms,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15647,,https://www.mit.edu/~vgarg/OTCSlides.pdf,,East Exhibition Hall B + C,Sparsity and Compressed Sensing
Superset Technique for Approximate Recovery in One-Bit Compressed Sensing,Larkin Flodin · Venkata Gandikota · Arya Mazumdar,Algorithms,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15647,https://drive.google.com/file/d/14Z3ZZncVa8BgRllQ1vMxaCVQLRMR1I1g/view?usp=sharing,,,East Exhibition Hall B + C,Sparsity and Compressed Sensing
Universality in Learning from Linear Measurements,Ehsan Abbasi · Fariborz Salehi · Babak Hassibi,Algorithms,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15647,,,https://caltech.box.com/s/vwr8lrxy9edr5m2vbwqheeryoi7y3wq6,East Exhibition Hall B + C,Sparsity and Compressed Sensing
Efficient Convex Relaxations for Streaming PCA,Raman Arora · Teodor Vanislavov Marinov,Algorithms,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15648,https://github.com/tmarino2/Streaming_PCA/blob/master/Streaming_PCA_NeurIPS_2019_Poster-2.pdf,https://github.com/tmarino2/Streaming_PCA/blob/master/Efficient_Convex_Relaxations_for_Streaming_PCA_Presentation-2.pdf,,East Exhibition Hall B + C,Stochastic Methods
Thinning for Accelerating the Learning of Point Processes,Tianbo Li · Yiping Ke,Algorithms,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15648,https://nicktianboli.github.io/papers/NeurIPS19_poster.pdf,,,East Exhibition Hall B + C,Stochastic Methods
Understanding Sparse JL for Feature Hashing,Meena Jagadeesan,Algorithms,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15648,,https://mjagadeesan.github.io/NeurIPSSlides.pdf,,East Exhibition Hall B + C,Stochastic Methods
Differentiable Ranking and Sorting using Optimal Transport,Marco Cuturi · Olivier Teboul · Jean-Philippe Vert,Algorithms,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15649,,https://github.com/google-research/google-research/tree/master/soft_sort,,East Exhibition Hall B + C,Structured Prediction
Globally Optimal Learning for Structured Elliptical Losses,Yoav Wald · Nofar Noy · Gal Elidan · Ami Wiesel,Algorithms,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15649,https://github.com/yowald/elliptical-losses/blob/master/neurips19_poster.pdf,,,East Exhibition Hall B + C,Structured Prediction
Graph Structured Prediction Energy Networks,Colin Graber · Alexander Schwing,Algorithms,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15649,http://cgraber2.web.engr.illinois.edu/NeurIPS19_poster.pdf,,,East Exhibition Hall B + C,Structured Prediction
"Search-Guided, Lightly-Supervised Training of Structured Prediction Energy Networks",Amirmohammad Rooshenas · Dongxu Zhang · Gopal Sharma · Andrew McCallum,Algorithms,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15649,,https://rooshenas.github.io/files/sg-spen-slides.pdf,https://rooshenas.github.io/files/sg-spen.mp4,East Exhibition Hall B + C,Structured Prediction
Structured Prediction with Projection Oracles,Mathieu Blondel,Algorithms,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15649,,http://mblondel.org/talks/mblondel-google-2019-06.pdf,,East Exhibition Hall B + C,Structured Prediction
Flexible Modeling of Diversity with Strongly Log-Concave Distributions,Joshua Robinson · Suvrit Sra · Stefanie Jegelka,Algorithms,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15650,,https://joshrobinson.mit.edu/wp-content/uploads/sites/34/2019/08/SLCslideshow.pdf,,East Exhibition Hall B + C,Unsupervised Learning
Putting An End to End-to-End: Gradient-Isolated Learning of Representations,Sindy Löwe · Peter O'Connor · Bastiaan Veeling,Algorithms,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15650,https://drive.google.com/file/d/1nACqD5Th2RB1eq-odghO5GQ8kPpKpwGi/view?usp=sharing,,,East Exhibition Hall B + C,Unsupervised Learning
Hamiltonian Neural Networks,Samuel Greydanus · Misko Dzamba · Jason Yosinski,Algorithms,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15650,,https://drive.google.com/file/d/1Yz19oHWrG7_5XXwCIpQrxCChQdkB7vb2/view?usp=sharing,,East Exhibition Hall B + C,Unsupervised Learning
Using Self-Supervised Learning Can Improve Model Robustness and Uncertainty,Dan Hendrycks · Mantas Mazeika · Saurav Kadavath · Dawn Song,Algorithms,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15650,https://drive.google.com/file/d/1WYO-R1txoUWx3UrAcMcyyT90PVXzWUAQ/view?usp=sharing,,,East Exhibition Hall B + C,Unsupervised Learning
Learning about an exponential amount of conditional distributions,Mohamed Belghazi · Maxime Oquab · David Lopez-Paz,Algorithms,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15650,https://github.com/IshmaelBelghazi/learning_an_exponential_amount_of_conditional_distributions/paper/poster/poster.pdf,,,East Exhibition Hall B + C,Unsupervised Learning
"N-Gram Graph: Simple Unsupervised Representation for Graphs, with Applications to Molecules",Shengchao Liu · Mehmet F Demirel · Yingyu Liang,Algorithms,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15650,,http://pages.cs.wisc.edu/~yliang/ngram_graph_presentation.pdf,,East Exhibition Hall B + C,Unsupervised Learning
Outlier Detection and Robust PCA Using a Convex Measure of Innovation,Mostafa Rahmani · Ping Li,Algorithms,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15650,,https://www.dropbox.com/s/07kvjlls5msgtb3/slides_IS.pdf?dl=0,,East Exhibition Hall B + C,Unsupervised Learning
More Is Less: Learning Efficient Video Representations by Big-Little Network and Depthwise Temporal Aggregation,Quanfu Fan · Chun-Fu (Richard) Chen · Hilde Kuehne · Marco Pistoia · David Cox,Applications,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15651,https://ibm.box.com/v/bLVNet-TAM-NeurIPS2019,,,East Exhibition Hall B + C,Activity and Event Recognition
Why Can't I Dance in the Mall? Learning to Mitigate Scene Bias in Action Recognition,Jinwoo Choi · Chen Gao · Joseph C. E. Messou · Jia-Bin Huang,Applications,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15651,,https://filebox.ece.vt.edu/~jinchoi/files/draft/NeurIPS2019/pid467_slides_final.pdf,,East Exhibition Hall B + C,Activity and Event Recognition
Semantic Conditioned Dynamic Modulation for Temporal Sentence Grounding in Videos,Yitian Yuan · Lin Ma · Jingwen Wang · Wei Liu · Wenwu Zhu,Applications,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15651,https://github.com/yytzsy/SCDM/blob/master/Neurips2019_YitianYuan_poster.pdf,,,East Exhibition Hall B + C,Activity and Event Recognition
U-Time: A Fully Convolutional Network for Time Series Segmentation Applied to Sleep Staging,Mathias Perslev · Michael Jensen · Sune Darkner · Poul Jørgen Jennum · Christian Igel,Applications,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15651,https://github.com/perslev/U-Time/blob/master/resources/poster_NeurIPS_2019.pdf,,,East Exhibition Hall B + C,Activity and Event Recognition
Cormorant: Covariant Molecular Neural Networks,Brandon Anderson · Truong Son Hy · Risi Kondor,Applications,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15652,,http://people.cs.uchicago.edu/~hytruongson/Cormorant_NeurIPS_2019.pdf,,East Exhibition Hall B + C,Computational Biology and Bioinformatics
Deep imitation learning for molecular inverse problems,Eric Jonas,Applications,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15652,,https://www.dropbox.com/s/k2rx1sfvb6qnf30/NeurIPS%202019%20paper%20slides.pdf?dl=0,,East Exhibition Hall B + C,Computational Biology and Bioinformatics
End-to-End Learning on 3D Protein Structure for Interface Prediction,Raphael Townshend · Rishi Bedi · Patricia Suriana · Ron Dror,Applications,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15652,https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/H93ZKK,,,East Exhibition Hall B + C,Computational Biology and Bioinformatics
Evaluating Protein Transfer Learning with TAPE,Roshan Rao · Nicholas Bhattacharya · Neil Thomas · Yan Duan · Peter Chen · John Canny · Pieter Abbeel · Yun Song,Applications,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15652,,https://drive.google.com/file/d/1x2oGryuakiXYbpfb5BnXorogZUaBVVde/view?usp=sharing,,East Exhibition Hall B + C,Computational Biology and Bioinformatics
Generative Models for Graph-Based Protein Design,John Ingraham · Vikas Garg · Regina Barzilay · Tommi Jaakkola,Applications,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15652,,http://people.csail.mit.edu/ingraham/slides/neurips19_protein_design.pdf,,East Exhibition Hall B + C,Computational Biology and Bioinformatics
Recurrent Kernel Networks,Dexiong Chen · Laurent Jacob · Julien Mairal,Applications,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15652,https://dexiong.me/publications/poster/neurips2019.pdf,,,East Exhibition Hall B + C,Computational Biology and Bioinformatics
Computational Mirrors: Blind Inverse Light Transport by Deep Matrix Factorization,Miika Aittala · Prafull Sharma · Lukas Murmann · Adam Yedidia · Gregory Wornell · Bill Freeman · Fredo Durand,Applications,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15653,,,http://compmirrors.csail.mit.edu/videos/compmirrors_3minute.mp4,East Exhibition Hall B + C,Computational Photography
Reflection Separation using a Pair of Unpolarized and Polarized Images,Youwei Lyu · Zhaopeng Cui · Si Li · Marc Pollefeys · Boxin Shi,Applications,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15653,https://github.com/YouweiLyu/reflection_separation_with_un-polarized_images/blob/master/poster/poster.pdf,,,East Exhibition Hall B + C,Computational Photography
Training Image Estimators without Image Ground Truth,Zhihao Xia · Ayan Chakrabarti,Applications,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15653,https://projects.ayanc.org/unsupimg/poster.pdf,,,East Exhibition Hall B + C,Computational Photography
Making the Cut: A Bandit-based Approach to Tiered Interviewing,Candice Schumann · Zhi Lang · Jeffrey Foster · John Dickerson,Applications,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15654,https://drive.google.com/file/d/1C9tBWp2zMYOqyOhP1TPn2ltnYJXwlt1H/view?usp=sharing,,,East Exhibition Hall B + C,Computational Social Science
On Human-Aligned Risk Minimization,Liu Leqi · Adarsh Prasad · Pradeep Ravikumar,Applications,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15654,https://drive.google.com/drive/folders/1o1AqPa1OO6WKJiBUBpbKXmlbSF8lLG01?usp=sharing,,,East Exhibition Hall B + C,Computational Social Science
Blind Super-Resolution Kernel Estimation using an Internal-GAN,Sefi Bell-Kligler · Assaf Shocher · Michal Irani,Applications,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15655,https://www.dropbox.com/s/o4r0jt9ttmabjwr/poster_v6.pdf?dl=0,,,East Exhibition Hall B + C,Computer Vision
Chirality Nets for Human Pose Regression,Raymond Yeh · Yuan-Ting Hu · Alexander Schwing,Applications,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15655,,http://www.isle.illinois.edu/~yeh17/projects/chirality_nets/presentation.pdf,,East Exhibition Hall B + C,Computer Vision
Explicitly disentangling image content from translation and rotation with spatial-VAE,Tristan Bepler · Ellen Zhong · Kotaro Kelley · Edward Brignole · Bonnie Berger,Applications,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15655,http://bergerlab-downloads.csail.mit.edu/spatial-vae/poster_neurips2019.pdf,,,East Exhibition Hall B + C,Computer Vision
GIFT: Learning Transformation-Invariant Dense Visual Descriptors via Group CNNs,Yuan Liu · Zehong Shen · Zhixuan Lin · Sida Peng · Hujun Bao · Xiaowei Zhou,Applications,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15655,https://zju3dv.github.io/GIFT/gift_poster.pdf,,,East Exhibition Hall B + C,Computer Vision
Learning to Infer Implicit Surfaces without 3D Supervision,Shichen Liu · Shunsuke Saito · Weikai Chen · Hao Li,Applications,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15655,https://shichenliu.github.io/assets/files/NeurIPS19_poster.pdf,,,East Exhibition Hall B + C,Computer Vision
Learning to Predict 3D Objects with an Interpolation-based Differentiable Renderer,Wenzheng Chen · Huan Ling · Jun Gao · Edward Smith · Jaakko Lehtinen · Alec Jacobson · Sanja Fidler,Applications,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15655,,https://drive.google.com/file/d/1l2A0dBLd2-Gi6aGzyYKVAei1KKJA4v53/view,https://nv-tlabs.github.io/DIB-R/,East Exhibition Hall B + C,Computer Vision
A Self Validation Network for Object-Level Human Attention Estimation,Zehua Zhang · Chen Yu · David Crandall,Applications,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15655,https://github.com/zehzhang/MindreaderNet-Mr.-Net-/blob/master/poster.pdf,,,East Exhibition Hall B + C,Computer Vision
PerspectiveNet: A Scene-consistent Image Generator for New View Synthesis in Real Indoor Environments,Ben Graham · David Novotny · Jeremy Reizenstein,Applications,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15655,,https://drive.google.com/open?id=1vRY3xAYsZYIlBeGz6BHoOG2wJqzgMpjU,,East Exhibition Hall B + C,Computer Vision
PointDAN: A Multi-Scale 3D Domain Adaption Network for Point Cloud Representation,Can Qin · Haoxuan You · Lichen Wang · C.-C. Jay Kuo · Yun Fu,Applications,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15655,https://drive.google.com/open?id=111fUthtvXswXjBIFqLgmA_suz30CvOdM,,,East Exhibition Hall B + C,Computer Vision
PRNet: Self-Supervised Learning for Partial-to-Partial Registration,Yue Wang · Justin M Solomon,Applications,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15655,http://people.csail.mit.edu/yuewang/projects/prnet/PRNet_NeurIPS.pdf,,,East Exhibition Hall B + C,Computer Vision
Quadratic Video Interpolation,Xiangyu Xu · Li Siyao · Wenxiu Sun · Qian Yin · Ming-Hsuan Yang,Applications,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15655,https://www.dropbox.com/sh/mt1dm75khmue57t/AABoYCZZt_QUF5dDKdsjboN5a?dl=0,,,East Exhibition Hall B + C,Computer Vision
R2D2: Reliable and Repeatable Detector and Descriptor,Jerome Revaud · Cesar De Souza · Martin Humenberger · Philippe Weinzaepfel,Applications,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15655,,https://drive.google.com/file/d/16mSjD6KvDlemWY-nBpBbaMAl05TNZlh7/view?usp=sharing,,East Exhibition Hall B + C,Computer Vision
Semantic-Guided Multi-Attention Localization for Zero-Shot Learning,Yizhe Zhu · Jianwen Xie · Zhiqiang Tang · Xi Peng · Ahmed Elgammal,Applications,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15655,http://yzzhu.net/figure/MAZSL_NIPS2019.pdf,,,East Exhibition Hall B + C,Computer Vision
Spatial-Aware Feature Aggregation for Image based Cross-View Geo-Localization,Yujiao Shi · Liu Liu · Xin Yu · Hongdong Li,Applications,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15655,https://github.com/shiyujiao/SAFA/blob/master/SAFA_poster.pdf,,,East Exhibition Hall B + C,Computer Vision
STAR-Caps: Capsule Networks with Straight-Through Attentive Routing,Karim Ahmed · Lorenzo Torresani,Applications,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15655,,http://bit.ly/2pimMKd,http://bit.ly/2PA6JlV,East Exhibition Hall B + C,Computer Vision
Extending Stein's unbiased risk estimator to train deep denoisers with correlated pairs of noisy images,Magauiya Zhussip · Shakarim Soltanayev · Se Young Chun,Applications,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15656,https://unistackr0-my.sharepoint.com/:b:/g/personal/sychun_unist_ac_kr/EecxRc3Vx8pNh81vJ77-2MsBB2rOYqa8ERWJbO2Ox-Tw5w?e=paNKUu,,,East Exhibition Hall B + C,Denoising
Variational Denoising Network: Toward Blind Noise Modeling and Removal,Zongsheng Yue · Hongwei Yong · Qian Zhao · Deyu Meng · Lei Zhang,Applications,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15656,https://github.com/zsyOAOA/VDNet/tree/master/poster,,,East Exhibition Hall B + C,Denoising
"Ask not what AI can do, but what AI should do: Towards a framework of task delegability",Brian Lubars · Chenhao Tan,Applications,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15624,http://tiny.cc/delegationposter,http://tiny.cc/delegationslides,http://tiny.cc/delegationvideo,East Exhibition Hall B + C,"Fairness, Accountability, and Transparency"
Attribution-Based Confidence Metric For Deep Neural Networks,Susmit Jha · Sunny Raj · Steven Fernandes · Sumit K Jha · Somesh Jha · Brian Jalaian · Gunjan Verma · Ananthram Swami,Applications,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15624,,https://susmitjha.github.io/presentations/NeurIPS19-abc.pdf,,East Exhibition Hall B + C,"Fairness, Accountability, and Transparency"
"Average Individual Fairness: Algorithms, Generalization and Experiments",Saeed Sharifi-Malvajerdi · Michael Kearns · Aaron Roth,Applications,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15624,,https://drive.google.com/file/d/1vLFSfeIYQu6WFytbn9AS9MBUk7qGDRZm/view?usp=sharing,,East Exhibition Hall B + C,"Fairness, Accountability, and Transparency"
Disentangling Influence: Using disentangled representations to audit model predictions,Charles Marx · Richard Phillips · Sorelle Friedler · Carlos  Scheidegger · Suresh Venkatasubramanian,Applications,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15624,https://charliemarx.github.io/assets/neurips2019_poster.pdf,,,East Exhibition Hall B + C,"Fairness, Accountability, and Transparency"
Equal Opportunity in Online Classification with Partial Feedback,Yahav Bechavod · Katrina Ligett · Aaron Roth · Bo Waggoner · Steven Wu,Applications,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15624,,https://simons.berkeley.edu/sites/default/files/docs/14225/equalopp1.pdf,,East Exhibition Hall B + C,"Fairness, Accountability, and Transparency"
Exploring Algorithmic Fairness in Robust Graph Covering Problems,Aida Rahmattalabi · Phebe Vayanos · Anthony Fulginiti · Eric Rice · Bryan Wilder · Amulya Yadav · Milind Tambe,Applications,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15624,,https://www.dropbox.com/s/6nd06twonmy9irc/NeurIPS2019-FairRobustGraphCovering.pdf?dl=0,,East Exhibition Hall B + C,"Fairness, Accountability, and Transparency"
Group Retention when Using Machine Learning in Sequential Decision Making: the Interplay between User Dynamics and Fairness ,Xueru Zhang · Mohammadmahdi Khaliligarekani · Cem Tekin · mingyan liu,Applications,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15624,https://www.dropbox.com/sh/wmf1kcujv3pmv4w/AADEC8fB1KsWzOiyFR4MWxFLa?dl=0,,,East Exhibition Hall B + C,"Fairness, Accountability, and Transparency"
Inherent Tradeoffs in Learning Fair Representations,Han Zhao · Geoff Gordon,Applications,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15624,http://www.cs.cmu.edu/~hzhao1/papers/NIPS2019/fair_poster.pdf,,,East Exhibition Hall B + C,"Fairness, Accountability, and Transparency"
Leveraging Labeled and Unlabeled Data for Consistent Fair Binary Classification,Evgenii Chzhen · Christophe Denis · Mohamed Hebiri · Luca Oneto · Massimiliano Pontil,Applications,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15624,,https://www.dropbox.com/s/fc3p9o7xwo1wka2/beamer.pdf?dl=0,,East Exhibition Hall B + C,"Fairness, Accountability, and Transparency"
Offline Contextual Bandits with High Probability Fairness Guarantees,Blossom Metevier · Stephen Giguere · Sarah Brockman · Ari Kobren · Yuriy Brun · Emma Brunskill · Philip Thomas,Applications,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15624,https://docs.google.com/presentation/d/12ZQLjDV2gESTPq9wlYkSMlqj883BKPHapcRgUJ_wNFM/edit?usp=sharing,,,East Exhibition Hall B + C,"Fairness, Accountability, and Transparency"
On Relating Explanations and Adversarial Examples,Alexey Ignatiev · Nina Narodytska · Joao Marques-Silva,Applications,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15624,https://alexeyignatiev.github.io/assets/pdf/inms-nips19-poster.pdf,,,East Exhibition Hall B + C,"Fairness, Accountability, and Transparency"
On Testing for Biases in Peer Review,Ivan Stelmakh · Nihar Shah · Aarti Singh,Applications,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15624,http://www.cs.cmu.edu/afs/cs.cmu.edu/user/istelmak/www/neurips2019/poster.pdf,http://www.cs.cmu.edu/afs/cs.cmu.edu/user/istelmak/www/neurips2019/slides.pdf,,East Exhibition Hall B + C,"Fairness, Accountability, and Transparency"
On the (In)fidelity and Sensitivity of Explanations,Chih-Kuan Yeh · Cheng-Yu Hsieh · Arun Suggala · David Inouye · Pradeep Ravikumar,Applications,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15624,https://github.com/chihkuanyeh/saliency_evaluation/blob/master/Neurips_poster.pdf,https://github.com/chihkuanyeh/saliency_evaluation/blob/master/Neurips_slide.pdf,,East Exhibition Hall B + C,"Fairness, Accountability, and Transparency"
Policy Learning for Fairness in Ranking,Ashudeep Singh · Thorsten Joachims,Applications,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15624,,http://www.ashudeepsingh.com/pubs/neurips19-slides.pdf,,East Exhibition Hall B + C,"Fairness, Accountability, and Transparency"
The Fairness of Risk Scores Beyond Classification: Bipartite Ranking and the XAUC Metric,Nathan Kallus · Angela Zhou,Applications,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15624,,https://github.com/CausalML/xauc/blob/master/xauc-slides.pdf,,East Exhibition Hall B + C,"Fairness, Accountability, and Transparency"
Unlocking Fairness: a Trade-off Revisited,Michael Wick · swetasudha panda · Jean-Baptiste Tristan,Applications,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15624,https://michaelwick.github.io/files/neurips19/poster.pdf,,,East Exhibition Hall B + C,"Fairness, Accountability, and Transparency"
A Zero-Positive Learning Approach for Diagnosing Software Performance Regressions,Mejbah Alam · Justin Gottschlich · Nesime Tatbul · Javier Turek · Tim Mattson · Abdullah Muzahid,Applications,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15657,,https://drive.google.com/file/d/0B5Ycn3lPj7vwc0prbFRWUzBrN1R2UzdENHNESWlyZTI5NjB3/view?usp=sharing,https://youtu.be/FkT1aNoKbG4,East Exhibition Hall B + C,Hardware and Systems
Coda: An End-to-End Neural Program Decompiler,Cheng Fu · Huili Chen · Haolan Liu · Xinyun Chen · Yuandong Tian · Farinaz Koushanfar · Jishen Zhao,Applications,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15657,,https://chengfu0118.github.io/files/coda_slides.pdf,,East Exhibition Hall B + C,Hardware and Systems
Learning Generalizable Device Placement Algorithms for Distributed Machine Learning,ravichandra addanki · Shaileshh Bojja Venkatakrishnan · Shreyan Gupta · Hongzi Mao · Mohammad Alizadeh,Applications,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15657,https://www.dropbox.com/s/5oz7ppq55ipumlg/poster.pptx?dl=0,https://www.dropbox.com/s/ej5me7c7i3pgmph/talk.pptx?dl=0,,East Exhibition Hall B + C,Hardware and Systems
Making AI Forget You: Data Deletion in Machine Learning,Antonio Ginart · Melody Guan · Gregory Valiant · James Zou,Applications,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15657,https://drive.google.com/file/d/1iTQ3Sc0uBjMVmRGF4vA1H3jIqqep4Tij/view?usp=sharing,,,East Exhibition Hall B + C,Hardware and Systems
SpArSe: Sparse Architecture Search for CNNs on Resource-Constrained Microcontrollers,Igor Fedorov · Ryan Adams · Matthew Mattina · Paul Whatmough,Applications,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15657,https://drive.google.com/open?id=1EJy3Wvk6sgc1Xssdr4hkqbQwo9tF-DS-,,,East Exhibition Hall B + C,Hardware and Systems
The Synthesis of XNOR Recurrent Neural Networks with Stochastic Logic,Arash Ardakani · Zhengyun Ji · Amir Ardakani · Warren Gross,Applications,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15657,,http://isip.ece.mcgill.ca/media/neurips_2019/slides.pdf,http://isip.ece.mcgill.ca/media/neurips_2019/video.mp4,East Exhibition Hall B + C,Hardware and Systems
Towards Hardware-Aware Tractable Learning of Probabilistic Models,Laura I Galindez Olascoaga · Wannes Meert · Nimish Shah · Marian Verhelst · Guy Van den Broeck,Applications,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15657,https://drive.google.com/file/d/19E2L1za0SY5A1IoUG5srQw_al697ubBA/view?usp=sharing,,,East Exhibition Hall B + C,Hardware and Systems
Attentive State-Space Modeling of Disease Progression,Ahmed Alaa · Mihaela van der Schaar,Applications,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15658,,https://github.com/ahmedmalaa/attentive-state-space-models/blob/master/related%20material/Attentive%20state%20space.pdf,,East Exhibition Hall B + C,Health
Domain Generalization via Model-Agnostic Learning of Semantic Features,Qi Dou · Daniel Coelho de Castro · Konstantinos Kamnitsas · Ben Glocker,Applications,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15658,https://github.com/biomedia-mira/masf/blob/master/assets/poster.pdf,,,East Exhibition Hall B + C,Health
Recurrent Registration Neural Networks for Deformable Image Registration,Robin Sandkühler · Simon Andermatt · Grzegorz Bauman · Sylvia  Nyilas · Christoph Jud · Philippe C. Cattin,Applications,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15658,https://github.com/RobinSandkuehler/r2n2_poster,,,East Exhibition Hall B + C,Health
Transfusion: Understanding Transfer Learning for Medical Imaging,Maithra Raghu · Chiyuan Zhang · Jon Kleinberg · Samy Bengio,Applications,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15658,https://drive.google.com/open?id=1vYcWsH73j7utG4IdTbAklINrJm--yhcP,,,East Exhibition Hall B + C,Health
Can Unconditional Language Models Recover Arbitrary Sentences?,Nishant Subramani · Samuel Bowman · Kyunghyun Cho,Applications,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15659,,https://drive.google.com/open?id=144U4qx4iM7ILwgUydM9KyZiW8-HBkGtg,,East Exhibition Hall B + C,Natural Language Processing
Controllable Unsupervised Text Attribute Transfer via Editing Entangled Latent Representation,Ke Wang · Hang Hua · Xiaojun Wan,Applications,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15659,https://github.com/Nrgeup/controllable-text-attribute-transfer/blob/master/file/poster.pdf,,,East Exhibition Hall B + C,Natural Language Processing
Defending Against Neural Fake News,Rowan Zellers · Ari Holtzman · Hannah Rashkin · Yonatan Bisk · Ali Farhadi · Franziska Roesner · Yejin Choi,Applications,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15659,http://rowanzellers.com/grover/groverposter.pdf,,,East Exhibition Hall B + C,Natural Language Processing
Interpreting and improving natural-language processing (in machines) with  natural language-processing (in the brain),Mariya Toneva · Leila Wehbe,Applications,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15659,,https://drive.google.com/drive/folders/1ufgPG_4_XazrqjLmSAQPZw8-QdNBzi-Y?usp=sharing,,East Exhibition Hall B + C,Natural Language Processing
Invariance and identifiability issues for word embeddings,Rachel Carrington · Karthik Bharath · Simon Preston,Applications,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15659,,https://www.maths.nottingham.ac.uk/plp/pmzspp/files/NEURIPS_slides.pdf,,East Exhibition Hall B + C,Natural Language Processing
Kernelized Bayesian Softmax for Text Generation,Ning Miao · Hao Zhou · Chengqi Zhao · Wenxian Shi · Lei Li,Applications,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15659,https://github.com/NingMiao/KerBS/blob/master/poster/poster_KerBS.pdf,,,East Exhibition Hall B + C,Natural Language Processing
Levenshtein Transformer,Jiatao Gu · Changhan Wang · Junbo Zhao,Applications,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15659,https://dl.fbaipublicfiles.com/nat/levenshtein_transformer_neurips_poster.pdf,,,East Exhibition Hall B + C,Natural Language Processing
Neural Machine Translation with Soft Prototype,Yiren Wang · Yingce Xia · Fei Tian · Fei Gao · Tao Qin · Cheng Xiang  Zhai · Tie-Yan Liu,Applications,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15659,https://drive.google.com/file/d/1QEhc4RmMQwOs7Z3ssbtJkrMN3KKMsOBm/view?usp=sharing,,,East Exhibition Hall B + C,Natural Language Processing
Paraphrase Generation with Latent Bag of Words,Yao Fu · Yansong Feng · John Cunningham,Applications,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15659,,https://github.com/FranxYao/dgm_latent_bow/blob/master/doc/latent_bow_slides.pdf,,East Exhibition Hall B + C,Natural Language Processing
Unified Language Model Pre-training for Natural Language Understanding and Generation,Li Dong · Nan Yang · Wenhui Wang · Furu Wei · Xiaodong Liu · Yu Wang · Jianfeng Gao · Ming Zhou · Hsiao-Wuen Hon,Applications,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15659,http://dong.li/unilm-poster.pdf,,,East Exhibition Hall B + C,Natural Language Processing
XLNet: Generalized Autoregressive Pretraining for Language Understanding,Zhilin Yang · Zihang Dai · Yiming Yang · Jaime Carbonell · Russ Salakhutdinov · Quoc V Le,Applications,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15659,https://github.com/zihangdai/xlnet/tree/master/misc,,,East Exhibition Hall B + C,Natural Language Processing
Adaptive Influence Maximization with Myopic Feedback,Binghui Peng · Wei Chen,Applications,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15660,http://www.cs.columbia.edu/~binghuip/files/adaptive-influence-poster.pdf,,,East Exhibition Hall B + C,Network Analysis
Conditional Structure Generation through Graph Variational Generative Adversarial Nets,Carl Yang · Peiye Zhuang · Wenhan Shi · Alan Luu · Pan Li,Applications,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15660,http://jiyang3.web.engr.illinois.edu/files/condgen_poster.pdf,http://jiyang3.web.engr.illinois.edu/files/condgen_slides.pdf,,East Exhibition Hall B + C,Network Analysis
GOT: An Optimal Transport framework for Graph comparison,Hermina Petric Maretic · Mireille El Gheche · Giovanni Chierchia · Pascal Frossard,Applications,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15660,https://github.com/Hermina/GOT/blob/master/GOT_poster.pdf,,,East Exhibition Hall B + C,Network Analysis
KerGM: Kernelized Graph Matching,Zhen Zhang · Yijian Xiang · Lingfei Wu · Bing Xue · Arye Nehorai,Applications,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15660,https://cpb-us-w2.wpmucdn.com/sites.wustl.edu/dist/0/381/files/2019/10/KerGM_poster.pdf,,,East Exhibition Hall B + C,Network Analysis
Optimizing Generalized PageRank Methods for Seed-Expansion Community Detection,Pan Li · I Chien · Olgica Milenkovic,Applications,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15660,,https://drive.google.com/file/d/1ITIqUUrOi4UzK86mct3mEp_InRD4JNVc/view,,East Exhibition Hall B + C,Network Analysis
Variational Graph Recurrent Neural Networks,Ehsan Hajiramezanali · Arman Hasanzadeh · Krishna Narayanan · Nick Duffield · Mingyuan Zhou · Xiaoning Qian,Applications,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15660,https://github.com/VGraphRNN/VGRNN/blob/master/VGRNN_NeurIPS2019.pdf,,,East Exhibition Hall B + C,Network Analysis
vGraph: A Generative Model for Joint Community Detection and Node Representation Learning,Fan-Yun Sun · Meng Qu · Jordan Hoffmann · Chin-Wei Huang · Jian Tang,Applications,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15660,,https://drive.google.com/open?id=1ZAvOmhP7IfvGK9l6j-IopCh6oEtx4l8m,,East Exhibition Hall B + C,Network Analysis
Learning Deep Bilinear Transformation for Fine-grained Image Representation,Heliang Zheng · Jianlong Fu · Zheng-Jun Zha · Jiebo Luo,Applications,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15661,,,https://drive.google.com/open?id=1IBfLuHMZ5cUUDugVgcpupwwT7e5OneAu,East Exhibition Hall B + C,Object Recognition
Learning Disentangled Representation for Robust Person Re-identification,Chanho Eom · Bumsub Ham,Applications,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15661,https://drive.google.com/file/d/1eTWkFA3v66-DWt1Ir7i7QY10d1iEFK7N/view?usp=sharing,,,East Exhibition Hall B + C,Object Recognition
Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss,Kaidi Cao · Colin Wei · Adrien Gaidon · Nikos Arechiga · Tengyu Ma,Applications,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15661,https://www.dropbox.com/s/rfbehk5ttnq91tv/imbalance_neurips19_poster.pdf?dl=0,,,East Exhibition Hall B + C,Object Recognition
A Convex Relaxation Barrier to Tight Robustness Verification of Neural Networks,Hadi Salman · Greg Yang · Huan Zhang · Cho-Jui Hsieh · Pengchuan Zhang,Applications,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15625,https://drive.google.com/open?id=17uWnGvTrQt3tyyd8Mi6BZ71f9M5fXz6Y,,,East Exhibition Hall B + C,"Privacy, Anonymity, and Security"
An Algorithmic Framework For Differentially Private Data Analysis on Trusted Processors,Janardhan Kulkarni · Olga Ohrimenko · Bolin Ding · Sergey Yekhanin · Joshua  Allen · Harsha Nori,Applications,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15625,https://www.microsoft.com/en-us/research/uploads/prod/2019/10/ObliviousDP-Poster.pdf,,,East Exhibition Hall B + C,"Privacy, Anonymity, and Security"
Deep Leakage from Gradients,Ligeng Zhu · Zhijian Liu · Song Han,Applications,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15625,,https://hanlab.mit.edu/projects/dlg/,,East Exhibition Hall B + C,"Privacy, Anonymity, and Security"
Defending Neural Backdoors via Generative Distribution Modeling,Ximing Qiao · Yukun Yang · Hai Li,Applications,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15625,https://github.com/superrrpotato/Defending-Neural-Backdoors-via-Generative-Distribution-Modeling/raw/master/slides%26poster/neurips19%20poster.pdf,,,East Exhibition Hall B + C,"Privacy, Anonymity, and Security"
Differential Privacy Has Disparate Impact on Model Accuracy,Eugene Bagdasaryan · Omid Poursaeed · Vitaly Shmatikov,Applications,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15625,https://github.com/ebagdasa/differential-privacy-vs-fairness/blob/master/poster/neurips_diffprivacy_fairness.pdf,,,East Exhibition Hall B + C,"Privacy, Anonymity, and Security"
Differentially Private Covariance Estimation,Kareem Amin · Travis Dick · Alex Kulesza · Andres Munoz · Sergei Vassilvitskii,Applications,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15625,https://www.dropbox.com/s/p54bq9qpjs5ot8l/DifferentiallyPrivateCovarianceEstimation.pdf?dl=1,,,East Exhibition Hall B + C,"Privacy, Anonymity, and Security"
Differentially Private Markov Chain Monte Carlo,Mikko Heikkilä · Joonas Jälkö · Onur Dikmen · Antti Honkela,Applications,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15625,https://github.com/DPBayes/DP-MCMC-NeurIPS2019/blob/master/exactdp_poster_neurips19.pdf,,,East Exhibition Hall B + C,"Privacy, Anonymity, and Security"
Elliptical Perturbations for Differential Privacy,Matthew Reimherr · Jordan Awan,Applications,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15625,http://personal.psu.edu/~mlr36/Documents/Elliptical_Poster.pdf,,,East Exhibition Hall B + C,"Privacy, Anonymity, and Security"
Oblivious Sampling Algorithms for Private Data Analysis,Olga Ohrimenko · Sajin Sasy,Applications,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15625,https://cs.uwaterloo.ca/~ssasy/OSA.pdf,,,East Exhibition Hall B + C,"Privacy, Anonymity, and Security"
Practical Differentially Private Top-k Selection with Pay-what-you-get Composition,David Durfee · Ryan Rogers,Applications,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15625,https://www.math.upenn.edu/~ryrogers/NeurIPS19_poster.pdf,,,East Exhibition Hall B + C,"Privacy, Anonymity, and Security"
Privacy Amplification by Mixing and Diffusion Mechanisms,Borja Balle · Gilles Barthe · Marco Gaboardi · Joseph Geumlek,Applications,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15625,,https://borjaballe.github.io/slides/neurips19.pdf,,East Exhibition Hall B + C,"Privacy, Anonymity, and Security"
Private Stochastic Convex Optimization with Optimal Rates,Raef Bassily · Vitaly Feldman · Kunal Talwar · Abhradeep Guha Thakurta,Applications,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15625,https://bit.ly/32LOCgu,,,East Exhibition Hall B + C,"Privacy, Anonymity, and Security"
Code Generation as a Dual Task of Code Summarization,Bolin Wei · Ge Li · Xin Xia · Zhiyi Fu · Zhi Jin,Applications,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15662,https://github.com/Bolin0215/CSCGDual/blob/master/poster/poster.pdf,,,East Exhibition Hall B + C,Program Understanding and Generation
Compiler Auto-Vectorization with Imitation Learning,Charith Mendis · Cambridge Yang · Yewen Pu · Dr.Saman Amarasinghe · Michael Carbin,Applications,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15662,,https://docs.google.com/presentation/d/1tv-HjCMztw5DnjSRACMi-Rh7Kp2F5-nPwOtSrEZCdXw/edit?ts=5db5f6f1#slide=id.g70796c0142_0_0,,East Exhibition Hall B + C,Program Understanding and Generation
Learning Transferable Graph Exploration,Hanjun Dai · Yujia Li · Chenglong Wang · Rishabh Singh · Po-Sen Huang · Pushmeet Kohli,Applications,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15662,https://www.dropbox.com/s/krmycptxtoihfyj/poster.pdf?dl=0,,,East Exhibition Hall B + C,Program Understanding and Generation
Neural Attribution for Semantic Bug-Localization in Student Programs,Rahul Gupta · Aditya Kanade · Shirish Shevade,Applications,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15662,,https://sites.google.com/site/csarahul/NBL-neurips19-slides.pdf,,East Exhibition Hall B + C,Program Understanding and Generation
Program Synthesis and Semantic Parsing with Learned Code Idioms,Eui Chul Shin · Miltiadis Allamanis · Marc Brockschmidt · Alex Polozov,Applications,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15662,,https://1drv.ms/b/s!AlI2pWMpAVFDpbFXpJreClZV5z0ASg?e=00kCOd,,East Exhibition Hall B + C,Program Understanding and Generation
SPoC: Search-based Pseudocode to Code,Sumith Kulal · Panupong Pasupat · Kartik  Chandra · Mina Lee · Oded Padon · Alex Aiken · Percy Liang,Applications,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15662,https://sumith1896.github.io/spoc/spoc_poster.pdf,,,East Exhibition Hall B + C,Program Understanding and Generation
"Write, Execute, Assess: Program Synthesis with a REPL",Kevin Ellis · Maxwell Nye · Yewen Pu · Felix Sosa · Josh Tenenbaum · Armando Solar-Lezama,Applications,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15662,,,https://www.youtube.com/watch?v=B3T_mEb2NGA&feature=youtu.be,East Exhibition Hall B + C,Program Understanding and Generation
Seeing the Wind: Visual Wind Speed Prediction with a Coupled Convolutional and Recurrent Neural Network,Jennifer Cardona · Michael Howland · John Dabiri,Applications,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15663,https://purl.stanford.edu/gj241kq9837,,https://purl.stanford.edu/xx328hs4974,East Exhibition Hall B + C,Sustainability
muSSP: Efficient Min-cost Flow Algorithm for Multi-object Tracking,Congchao Wang · Yizhi Wang · Yinxue Wang · Chiung-Ting Wu · Guoqiang Yu,Applications,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15664,https://drive.google.com/open?id=1sVkRwuPQNmRLfbMt45-ylnA4YeqKjOLD,,,East Exhibition Hall B + C,Tracking and Motion in Video
Region-specific Diffeomorphic Metric Mapping,Zhengyang Shen · Francois-Xavier Vialard · Marc Niethammer,Applications,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15664,https://drive.google.com/open?id=1jdKafcBUpbZ6aDvPN5xbk4hCw9GVc3Zz,,,East Exhibition Hall B + C,Tracking and Motion in Video
Social-BiGAT: Multimodal Trajectory Forecasting using Bicycle-GAN and Graph Attention Networks,Vineet Kosaraju · Amir Sadeghian · Roberto Martín-Martín · Ian Reid · Hamid Rezatofighi · Silvio Savarese,Applications,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15664,https://drive.google.com/open?id=1WD2v23qo0liFXBsXn2iMwDzrywAZKcb3,,,East Exhibition Hall B + C,Tracking and Motion in Video
LiteEval: A Coarse-to-Fine Framework for Resource Efficient Video Recognition,Zuxuan Wu · Caiming Xiong · Yu-Gang Jiang · Larry Davis,Applications,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15665,https://obj.umiacs.umd.edu/lite-eval/lite_eval_poster.pdf,,,East Exhibition Hall B + C,Video Analysis
Recurrent Space-time Graph Neural Networks,Andrei Nicolicioiu · Iulia Duta · Marius Leordeanu,Applications,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15665,https://drive.google.com/file/d/1betWf6eX_rqLwInyp2SzXJespuSW227S/view?usp=sharing,https://drive.google.com/file/d/15rNBDF2V-kTk9QGB-GzS5D8u0Bv-4WMJ/view?usp=sharing,https://drive.google.com/file/d/1OY4J4kJV6XF6kH0ZWIthsfUYFK138SMd/view?usp=sharing,East Exhibition Hall B + C,Video Analysis
ObjectNet: A large-scale bias-controlled dataset for pushing the limits of object recognition models,Andrei Barbu · David Mayo · Julian Alverio · William Luo · Christopher Wang · Dan Gutfreund · Josh Tenenbaum · Boris Katz,"Data, Challenges, Implementations, and Software",Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15666,https://objectnet.dev/poster.pdf,https://objectnet.dev/slides.pdf,https://objectnet.dev/3-minute-video.avi,East Exhibition Hall B + C,Data Sets or Data Repositories
Park: An Open Platform for Learning-Augmented Computer Systems,Hongzi Mao · Parimarjan Negi · Akshay Narayan · Hanrui Wang · Jiacheng Yang · Haonan Wang · Ryan Marcus · ravichandra addanki · Mehrdad Khani Shirkoohi · Songtao He · Vikram Nathan · Frank Cangialosi · Shaileshh Venkatakrishnan · Wei-Hung Weng · Song Han · Tim Kraska · Dr.Mohammad Alizadeh,"Data, Challenges, Implementations, and Software",Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15666,https://www.dropbox.com/sh/ei2ev8binxkodos/AAC11KI3nYCYXPpWqdS-7vQla?dl=0,,,East Exhibition Hall B + C,Data Sets or Data Repositories
STREETS: A Novel Camera Network Dataset for Traffic Flow,Corey Snyder · Minh Do,"Data, Challenges, Implementations, and Software",Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15666,,https://www.dropbox.com/s/0fbawkzfa84f587/STREETS_Neurips_2019_Slides.pdf?dl=0,,East Exhibition Hall B + C,Data Sets or Data Repositories
A Step Toward Quantifying Independently Reproducible Machine Learning Research,Edward Raff,"Data, Challenges, Implementations, and Software",Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15667,https://github.com/EdwardRaff/Quantifying-Independently-Reproducible-ML/blob/master/QIRML_NeurIPS_poster.pdf,https://github.com/EdwardRaff/Quantifying-Independently-Reproducible-ML/blob/master/ReproducableML_5min.pptx,,East Exhibition Hall B + C,Software Toolkits
GENO -- GENeric Optimization for Classical Machine Learning,Soeren Laue · Matthias Mitterreiter · Joachim Giesen,"Data, Challenges, Implementations, and Software",Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15667,http://www.geno-project.org/posterNeurIPS.pdf,http://www.geno-project.org/slidesNeurIPS.pdf,http://www.geno-project.org/videoNeurIPS.mp4,East Exhibition Hall B + C,Software Toolkits
"PyTorch: An Imperative Style, High-Performance Deep Learning Library",Adam Paszke · Sam Gross · Francisco Massa · Adam Lerer · James Bradbury · Gregory Chanan · Trevor Killeen · Zeming Lin · Natalia Gimelshein · Luca Antiga · Alban Desmaison · Andreas Kopf · Edward Yang · Zachary DeVito · Martin Raison · Alykhan Tejani · Sasank Chilamkurthy · Benoit Steiner · Lu Fang · Junjie Bai · Soumith Chintala,"Data, Challenges, Implementations, and Software",Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15667,https://github.com/benoitsteiner/misc/blob/master/pytorch_poster.pdf,https://github.com/soumith/talks/raw/master/2019-odsc-east-boston/pytorch-ODSC-East-2019.pdf,,East Exhibition Hall B + C,Software Toolkits
Breaking the Glass Ceiling for Embedding-Based Classifiers for Large Output Spaces,Chuan Guo · Ali Mousavi · Xiang Wu · Daniel Holtmann-Rice · Satyen Kale · Sashank Reddi · Sanjiv Kumar,Deep Learning,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15668,https://drive.google.com/open?id=1xPcF1e8afgOskv-Q9vXTCENdeyi2F3Mu,,,East Exhibition Hall B + C,Embedding Approaches
End to end learning and optimization on graphs,Bryan Wilder · Eric Ewing · Bistra Dilkina · Milind Tambe,Deep Learning,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15668,,https://bryanwilder.github.io/files/graphopt_neurips_slides.pdf,,East Exhibition Hall B + C,Embedding Approaches
On the Downstream Performance of Compressed Word Embeddings,Avner May · Jian Zhang · Tri Dao · Christopher Ré,Deep Learning,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15668,https://avnermay.github.io/compressed_embeddings_neurips_2019_poster.pdf,https://avnermay.github.io/compressed_embeddings_neurips_2019_slides.pdf,https://avnermay.github.io/compressed_embeddings_neurips_2019_video.mp4,East Exhibition Hall B + C,Embedding Approaches
Quantum Embedding of Knowledge for Reasoning,Dinesh Garg · Shajith Ikbal Mohamed · Santosh K. Srivastava · Harit Vishwakarma · Hima Karanam · L Venkata Subramaniam,Deep Learning,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15668,,https://github.com/IBM/e2r/tree/master/neurips2019/presentation,,East Exhibition Hall B + C,Embedding Approaches
Self-Supervised Deep Learning on Point Clouds by Reconstructing Space,Bjarne Sievers · Jonathan Sauder,Deep Learning,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15668,https://drive.google.com/open?id=1IjVjYmeqpvLhThnEkdAUIubinupa3s3M,,,East Exhibition Hall B + C,Embedding Approaches
Embedding Symbolic Knowledge into Deep Networks,Xie Yaqi · Ziwei Xu · Kuldeep S Meel · Mohan Kankanhalli · Harold Soh,Deep Learning,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15668,https://drive.google.com/file/d/13mwJ6kPWj5XRsGpX-s9Xx-4X8AnDriMG/view?usp=sharing,,,East Exhibition Hall B + C,Embedding Approaches
Spherical Text Embedding,Yu Meng · Jiaxin Huang · Guangyuan Wang · Chao Zhang · Honglei Zhuang · Lance Kaplan · Jiawei Han,Deep Learning,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15668,,https://yumeng5.github.io/files/Spherical-Text-Embedding.pdf,,East Exhibition Hall B + C,Embedding Approaches
Stochastic Shared Embeddings: Data-driven Regularization of Embedding Layers,Liwei Wu · Shuqing Li · Cho-Jui Hsieh · James Sharpnack,Deep Learning,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15668,,https://www.dropbox.com/s/lz3xpmc3agmkqme/liwei_nips2019.pdf?dl=0,,East Exhibition Hall B + C,Embedding Approaches
Episodic Memory in Lifelong Language Learning,Cyprien de Masson d'Autume · Sebastian Ruder · Lingpeng Kong · Dani Yogatama,Deep Learning,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15669,https://drive.google.com/file/d/1JY4HOZPPaQ0SP42bQTBpMGNO4TI9UJD0/view?usp=sharing,,,East Exhibition Hall B + C,Memory-Augmented Neural Networks
Generalization of Reinforcement Learners with Working and Episodic Memory,Meire Fortunato · Melissa Tan · Ryan Faulkner · Steven Hansen · Adrià Puigdomènech Badia · Gavin Buttimore · Charles Deck · Joel Leibo · Charles Blundell,Deep Learning,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15669,https://drive.google.com/open?id=1zR17KZYq8KK-9YiVK7mTSrFZ46YfXPm6,,,East Exhibition Hall B + C,Memory-Augmented Neural Networks
Large Memory Layers with Product Keys,Guillaume Lample · Alexandre Sablayrolles · Marc'Aurelio Ranzato · Ludovic Denoyer · Herve Jegou,Deep Learning,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15669,https://drive.google.com/open?id=1OCQmRN-f8NNJ2pXr_5jxW79NZshOhQLg,,,East Exhibition Hall B + C,Memory-Augmented Neural Networks
Ordered Memory,Yikang Shen · Shawn Tan · Arian Hosseini · Zhouhan Lin · Alessandro Sordoni · Aaron Courville,Deep Learning,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15669,,https://github.com/yikangshen/Ordered-Memory/blob/master/Ordered_Memory_Slides.pdf,,East Exhibition Hall B + C,Memory-Augmented Neural Networks
Algorithm-Dependent Generalization Bounds for Overparameterized Deep Residual Networks,Spencer Frei · Yuan Cao · Quanquan Gu,Deep Learning,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15631,http://www.stat.ucla.edu/~spencerfrei/resnet_poster.pdf,,,East Exhibition Hall B + C,Optimization for Deep Networks
Are deep ResNets provably better than linear predictors?,Chulhee Yun · Suvrit Sra · Ali Jadbabaie,Deep Learning,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15631,,https://chulheey.mit.edu/wp-content/uploads/sites/12/2019/10/yun2019deep_slides.pdf,,East Exhibition Hall B + C,Optimization for Deep Networks
Efficient Rematerialization for Deep Networks,Ravi Kumar · Manish Purohit · Zoya Svitkina · Erik Vee · Joshua Wang,Deep Learning,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15631,https://drive.google.com/open?id=1UhqvX-vvkXMpDU9C2pjyHsGKiKACmFlR,,,East Exhibition Hall B + C,Optimization for Deep Networks
Fast Convergence of Natural Gradient Descent for Over-Parameterized Neural Networks,Guodong Zhang · James Martens · Roger Grosse,Deep Learning,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15631,https://drive.google.com/file/d/1n9otjlFVndYykA8hrXsf3TVUBWWTCJxg/view?usp=sharing,,,East Exhibition Hall B + C,Optimization for Deep Networks
How to Initialize your Network? Robust Initialization for WeightNorm & ResNets,Devansh Arpit · Víctor Campos · Yoshua Bengio,Deep Learning,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15631,https://github.com/victorcampos7/weightnorm-init/blob/master/weight_init_poster.pdf,,,East Exhibition Hall B + C,Optimization for Deep Networks
"Lookahead Optimizer: k steps forward, 1 step back",Michael Zhang · James Lucas · Jimmy Ba · Geoffrey E Hinton,Deep Learning,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15631,,https://michaelrzhang.github.io/assets/lookahead_slides.pdf,,East Exhibition Hall B + C,Optimization for Deep Networks
  Global Convergence of Gradient Descent  for Deep Linear Residual Networks,Lei Wu · Qingcan Wang · Chao Ma,Deep Learning,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15631,,https://www.dropbox.com/sh/505tg0g4qkhri0i/AADzXw16YpJpe1F5ouGrLtd1a?dl=0,,East Exhibition Hall B + C,Optimization for Deep Networks
Piecewise Strong Convexity of Neural Networks,Tristan Milne,Deep Learning,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15631,,,https://www.youtube.com/watch?v=z89BTMQGVng,East Exhibition Hall B + C,Optimization for Deep Networks
PowerSGD: Practical Low-Rank Gradient Compression for Distributed Optimization,Thijs Vogels · Sai Praneeth Karimireddy · Martin Jaggi,Deep Learning,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15631,https://tvogels.nl/powersgd/poster.pdf,,https://youtu.be/xVxSu7KGtHw,East Exhibition Hall B + C,Optimization for Deep Networks
A Primal Dual Formulation For Deep Learning With Constraints,Yatin Nandwani · Abhishek Pathak · Mausam  · Parag Singla,Deep Learning,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15631,,http://www.cse.iitd.ernet.in/~yatin/ppt/dl_with_constraints.pdf,,East Exhibition Hall B + C,Optimization for Deep Networks
Surfing: Iterative Optimization Over Incrementally Trained Deep Networks,Ganlin Song · Zhou Fan · John Lafferty,Deep Learning,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15631,https://github.com/jdlafferty/surfing,,,East Exhibition Hall B + C,Optimization for Deep Networks
Theoretical Limits of Pipeline Parallel Optimization and Application to Distributed Deep Learning,Igor Colin · Ludovic DOS SANTOS · Kevin Scaman,Deep Learning,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15631,,http://cpc.cx/pRO,,East Exhibition Hall B + C,Optimization for Deep Networks
A Nonconvex Approach for Exact and Efficient Multichannel Sparse Blind Deconvolution,Qing Qu · Xiao Li · Zhihui Zhu,Optimization,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15636,https://qingqu06.github.io/pdf/poster-mcsbd.pdf,https://qingqu06.github.io/pdf/MCSBD.pdf,,East Exhibition Hall B + C,Non-Convex Optimization
An  Inexact Augmented Lagrangian Framework for Nonconvex Optimization with Nonlinear Constraints,Mehmet Fatih Sahin · Armin eftekhari · Ahmet Alacaoglu · Fabian Latorre · Volkan Cevher,Optimization,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15636,,https://drive.google.com/drive/folders/1ab_eqyby9St9eTbCWr-3mToRlUaGSQvV?usp=sharing,,East Exhibition Hall B + C,Non-Convex Optimization
Bayesian Optimization with Unknown Search Space,Huong Ha · Santu Rana · Sunil Gupta · Thanh Nguyen · Hung Tran-The · Svetha Venkatesh,Optimization,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15636,https://www.dropbox.com/sh/0kylocm2xhnjpcr/AADC3ptJnVP9Lq4bu0HmcYjJa?dl=0,,,East Exhibition Hall B + C,Non-Convex Optimization
Calculating Optimistic Likelihoods Using (Geodesically) Convex Optimization,Viet Anh Nguyen · Soroosh Shafieezadeh Abadeh · Man-Chung Yue · Daniel Kuhn · Wolfram Wiesemann,Optimization,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15636,https://github.com/sorooshafiee/Optimistic_Likelihoods,,,East Exhibition Hall B + C,Non-Convex Optimization
Communication-Efficient Distributed Blockwise Momentum SGD with Error-Feedback,Shuai Zheng · Ziyue Huang · James Kwok,Optimization,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15636,https://github.com/szhengac/dist-ef-sgdm/blob/master/EFSGDposter.pdf,,,East Exhibition Hall B + C,Non-Convex Optimization
Distributed Low-rank Matrix Factorization With Exact Consensus,Zhihui Zhu · Qiuwei Li · Xinshuo Yang · Gongguo Tang · Michael B Wakin,Optimization,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15636,http://inside.mines.edu/~mwakin/posters/NeurIPS19-DGDLOCAL.pdf,,,East Exhibition Hall B + C,Non-Convex Optimization
Efficient Algorithms for Smooth Minimax Optimization,Kiran Thekumparampil · Prateek Jain · Praneeth Netrapalli · Sewoong Oh,Optimization,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15636,,https://drive.google.com/file/d/1Po65YQK8scq_Hv06ntMf1TEa4acs311Y/view?usp=sharing,,East Exhibition Hall B + C,Non-Convex Optimization
Momentum-Based Variance Reduction in Non-Convex SGD,Ashok Cutkosky · Francesco Orabona,Optimization,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15636,,https://www.dropbox.com/s/dwjcwvsgsbk47xm/storm_neurips.pdf?dl=0,,East Exhibition Hall B + C,Non-Convex Optimization
Provable Non-linear Inductive Matrix Completion,Kai Zhong · Zhao Song · Prateek Jain · Inderjit S Dhillon,Optimization,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15636,https://www.dropbox.com/s/ewmxiqi6nu9zyid/nimc_poster.pdf?dl=0,,,East Exhibition Hall B + C,Non-Convex Optimization
Semi-flat minima and saddle points by embedding neural networks to overparameterization,Kenji Fukumizu · Shoichiro Yamaguchi · Yoh-ichi Mototake · Mirai Tanaka,Optimization,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15636,,https://www.dropbox.com/sh/velkh06ni111icm/AADP1tYen72PvSpU6jRId5rka?dl=0,,East Exhibition Hall B + C,Non-Convex Optimization
Shadowing Properties of Optimization Algorithms,Antonio Orvieto · Aurelien Lucchi,Optimization,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15636,,http://people.inf.ethz.ch/orvietoa/shadowing.html,,East Exhibition Hall B + C,Non-Convex Optimization
Power analysis of knockoff filters for correlated designs,Jingbo Liu · Philippe Rigollet,Theory,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15670,,http://web.mit.edu/jingbo/www/reprints/neurips2019_slides.pdf,,East Exhibition Hall B + C,Frequentist Statistics
Concentration of risk measures: A Wasserstein distance approach,Sanjay P. Bhat · Prashanth L.A.,Theory,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15670,,http://www.cse.iitm.ac.in/~prashla/slides/2019-risk-wasserstein-nips-slides.pdf,,East Exhibition Hall B + C,Frequentist Statistics
Statistical bounds for entropic optimal transport: sample complexity and the central limit theorem,Gonzalo Mena · Jonathan Niles-Weed,Theory,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15670,https://gomena.github.io/docs/MenaWeedNeurips2019Poster.pdf,,,East Exhibition Hall B + C,Frequentist Statistics
Correlation in Extensive-Form Games: Saddle-Point Formulation and Benchmarks,Gabriele Farina · Chun Kai Ling · Fei Fang · Tuomas Sandholm,Theory,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15671,,http://www.cs.cmu.edu/~gfarina/2019/efce-subgradient-neurips19/slides.pdf,,East Exhibition Hall B + C,Game Theory and Computational Economics
Discrimination in Online Markets: Effects of Social Bias on Learning from Reviews and Policy Design,Faidra Georgia Monachou · Itai Ashlagi,Theory,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15671,https://drive.google.com/drive/folders/1uh_T9Dnky8LQfJu11vPks5SQEkZ54A05?usp=sharing,,,East Exhibition Hall B + C,Game Theory and Computational Economics
Distinguishing Distributions When Samples Are Strategically Transformed,Hanrui Zhang · Yu Cheng · Vincent Conitzer,Theory,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15671,https://users.cs.duke.edu/~hrzhang/posters/transformed_samples.pdf,,,East Exhibition Hall B + C,Game Theory and Computational Economics
Manipulating a Learning Defender and Ways to Counteract,Jiarui Gan · Qingyu Guo · Long Tran-Thanh · Bo An · Michael Wooldridge,Theory,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15671,https://www.dropbox.com/s/hm5kic6mw1isx8g/poster.neurips.pdf?dl=0,,,East Exhibition Hall B + C,Game Theory and Computational Economics
Prior-Free Dynamic Auctions with Low Regret Buyers,Yuan Deng · Jon Schneider · Balasubramanian Sivan,Theory,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15671,https://drive.google.com/file/d/1OY1pVT_wqGb1kfvZ-v4fEvQOpsiO1-dW/view?usp=sharing,,,East Exhibition Hall B + C,Game Theory and Computational Economics
Asymptotic Guarantees for Learning Generative Models with the Sliced-Wasserstein Distance,Kimia Nadjahi · Alain Durmus · Umut Simsekli · Roland Badeau,Theory,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15672,https://github.com/kimiandj/min_swe_material/blob/master/poster_min_swe.pdf,https://github.com/kimiandj/min_swe_material/blob/master/slides_min_swe.pdf,,East Exhibition Hall B + C,Large Deviations and Asymptotic Analysis
Random Quadratic Forms with Dependence: Applications to Restricted Isometry and Beyond,Arindam Banerjee · Qilong Gu · Vidyashankar Sivakumar · Steven Wu,Theory,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15672,,https://drive.google.com/file/d/0B9qXnQtWnfFeb29IYTlKeG4ta0xJU0RFMjFCM252UndIcVVN/view?usp=sharing,,East Exhibition Hall B + C,Large Deviations and Asymptotic Analysis
A General Framework for Symmetric Property Estimation,Moses Charikar · Kirankumar Shiragur · Aaron Sidford,Theory,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15673,,https://github.com/shiragur/CodeForPseudoPML,,East Exhibition Hall B + C,Learning Theory
Generalization Bounds in the Predict-then-Optimize Framework,Othman El Balghiti · Adam Elmachtoub · Paul Grigas · Ambuj Tewari,Theory,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15673,,https://grigas.ieor.berkeley.edu/slides/predict-then-optimize-slides.pdf,,East Exhibition Hall B + C,Learning Theory
Generalization Error Analysis of Quantized Compressive Learning,Xiaoyun Li · Ping Li,Theory,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15673,https://drive.google.com/open?id=13kEjvlG4hHeHi-ETzhZ9n9hGTQDwJKB4,,,East Exhibition Hall B + C,Learning Theory
Implicit Regularization of Accelerated Methods in Hilbert Spaces,Nicolò Pagliana · Lorenzo Rosasco,Theory,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15673,https://documentcloud.adobe.com/link/track?uri=urn%3Aaaid%3Ascds%3AUS%3A6254c2c7-ed97-4eb8-a11d-1eb1ebaecebd,,,East Exhibition Hall B + C,Learning Theory
Information-Theoretic Generalization Bounds for SGLD via Data-Dependent Estimates,Jeffrey Negrea · Mahdi Haghifam · Gintare Karolina Dziugaite · Ashish Khisti · Daniel Roy,Theory,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15673,,http://danroy.org/papers/negrea-et-al-NeurIPS19.pdf,,East Exhibition Hall B + C,Learning Theory
Nearly Tight Bounds for Robust Proper Learning of Halfspaces with a Margin,Ilias Diakonikolas · Daniel Kane · Pasin Manurangsi,Theory,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15673,,http://www.iliasdiakonikolas.org/neurips19-margin.pdf,,East Exhibition Hall B + C,Learning Theory
PAC-Bayes Un-Expected Bernstein Inequality,Zakaria Mhammedi · Peter Grünwald · Benjamin Guedj,Theory,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15673,https://github.com/zmhammedi/NeurIPS2019_poster/,,,East Exhibition Hall B + C,Learning Theory
Private Testing of Distributions via Sample Permutations,Maryam Aliakbarpour · Ilias Diakonikolas · Daniel Kane · Ronitt Rubinfeld,Theory,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15673,https://www.dropbox.com/s/k2u9srv1a15o5i7/Private%20Testing%20Poster.pdf?dl=0,https://www.dropbox.com/s/yni6asvgu90y1wy/Private_Testing.pdf?dl=0,,East Exhibition Hall B + C,Learning Theory
Regularization Matters: Generalization and Optimization of Neural Nets v.s. their Induced Kernel,Colin Wei · Jason Lee · Qiang Liu · Tengyu Ma,Theory,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15673,,https://drive.google.com/file/d/16xQMQ-GXhH4pro1-XqqH2Xs3PElMtWNZ/view?usp=sharing,,East Exhibition Hall B + C,Learning Theory
Statistical Analysis of Nearest Neighbor Methods for Anomaly Detection,Xiaoyi Gu · Leman Akoglu · Alessandro Rinaldo,Theory,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15673,https://www.dropbox.com/sh/ucljhpb8qmxana8/AACJRlXHWkV8FIBmK-nSg1kAa?dl=0,,,East Exhibition Hall B + C,Learning Theory
Theoretical Analysis of Adversarial Learning: A Minimax Approach,Zhuozhuo Tu · Jingwei Zhang · Dacheng Tao,Theory,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15673,https://tuzz0210.github.io/NeurIPS_2019_AML_poster.pdf,,,East Exhibition Hall B + C,Learning Theory
Unified Sample-Optimal Property Estimation in Near-Linear Time,Yi Hao · Alon Orlitsky,Theory,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15673,https://github.com/ucsdyi/unified_polynomial_poster,,,East Exhibition Hall B + C,Learning Theory
Gradient Dynamics of Shallow Univariate ReLU Networks,Francis Williams · Matthew Trager · Daniele Panozzo · Claudio Silva · Denis Zorin · Joan Bruna,Theory,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15674,https://drive.google.com/drive/folders/11DacgWQmUHw7CebIOqNyY-8q2W5X7aVc?usp=sharing,,,East Exhibition Hall B + C,Spaces of Functions and Kernels
Kernel quadrature with DPPs,Ayoub Belhadji · Rémi Bardenet · Pierre Chainais,Theory,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15674,https://github.com/AyoubBelhadji/posters/blob/master/DPPKQ_poster.pdf,,,East Exhibition Hall B + C,Spaces of Functions and Kernels
Kernel Truncated Randomized Ridge Regression: Optimal Rates and Low Noise Acceleration,Kwang-Sung Jun · Ashok Cutkosky · Francesco Orabona,Theory,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15674,,https://www.dropbox.com/s/osm8v9zwzrgi5sn/rademacher-short-slides.pdf?dl=0,,East Exhibition Hall B + C,Spaces of Functions and Kernels
Nonparametric Density Estimation & Convergence Rates for GANs under Besov IPM Losses,Ananya Uppal · Shashank Singh · Barnabas Poczos,Theory,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15674,https://sss1.github.io/publications/posters/NeurIPS19_Besov_IPMs_Poster.pdf,,,East Exhibition Hall B + C,Spaces of Functions and Kernels
On the Expressive Power of Deep Polynomial Neural Networks,Joe Kileel · Matthew Trager · Joan Bruna,Theory,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15674,https://drive.google.com/open?id=1I9T8lajvZd57KAaZrM45BRiVsLTrJFaw,,,East Exhibition Hall B + C,Spaces of Functions and Kernels
On the Inductive Bias of Neural Tangent Kernels,Alberto Bietti · Julien Mairal,Theory,Poster,Thu Dec 12th 05:00  -- 07:00 PM,https://nips.cc/Conferences/2019/Schedule?showParentSession=15674,http://alberto.bietti.me/files/ntk_neurips2019_poster.pdf,,,East Exhibition Hall B + C,Spaces of Functions and Kernels