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Oral
Tue Dec 10 10:05 AM -- 10:20 AM (PST) @ West Exhibition Hall A
Logarithmic Regret for Online Control
In Track 2 Session 1
Naman Agarwal · Elad Hazan · Karan Singh
[ Paper]  [ Slides] 
Oral
Tue Dec 10 10:05 AM -- 10:20 AM (PST) @ West Ballroom C
Updates of Equilibrium Prop Match Gradients of Backprop Through Time in an RNN with Static Input
In Track 4 Session 1
Maxence Ernoult · Julie Grollier · Damien Querlioz · Yoshua Bengio · Benjamin Scellier
Oral
Tue Dec 10 10:05 AM -- 10:20 AM (PST) @ West Ballroom A + B
Kernel Instrumental Variable Regression
In Track 3 Session 1
Rahul Singh · Maneesh Sahani · Arthur Gretton
[ Paper]  [ Slides] 
Oral
Tue Dec 10 10:05 AM -- 10:20 AM (PST) @ West Exhibition Hall C + B3
Uniform convergence may be unable to explain generalization in deep learning
In Track 1 Session 1
Vaishnavh Nagarajan · J. Zico Kolter
Oral
Tue Dec 10 04:10 PM -- 04:25 PM (PST) @ West Exhibition Hall A
Trajectory of Alternating Direction Method of Multipliers and Adaptive Acceleration
In Track 2 Session 2
Clarice Poon · Jingwei Liang
[ Paper]  [ Slides] 
Oral
Tue Dec 10 04:10 PM -- 04:25 PM (PST) @ West Ballroom C
Scalable Bayesian inference of dendritic voltage via spatiotemporal recurrent state space models
In Track 4 Session 2
Ruoxi Sun · Ian Kinsella · Scott Linderman · Liam Paninski
[ Paper]  [ Slides]  [ Slides] 
Oral
Tue Dec 10 04:10 PM -- 04:25 PM (PST) @ West Ballroom A + B
Causal Confusion in Imitation Learning
In Track 3 Session 2
Pim de Haan · Dinesh Jayaraman · Sergey Levine
Oral
Tue Dec 10 04:10 PM -- 04:25 PM (PST) @ West Exhibition Hall C + B3
Generative Modeling by Estimating Gradients of the Data Distribution
In Track 1 Session 2
Yang Song · Stefano Ermon
[ Paper]  [ Poster] 
Oral
Tue Dec 10 04:50 PM -- 05:05 PM (PST) @ West Exhibition Hall A
Necessary and Sufficient Geometries for Gradient Methods
In Track 2 Session 2
Daniel Levy · John Duchi
[ Paper]  [ Poster] 
Oral
Tue Dec 10 04:50 PM -- 05:05 PM (PST) @ West Ballroom C
Parameter elimination in particle Gibbs sampling
In Track 4 Session 2
Anna Wigren · Riccardo Sven Risuleo · Lawrence Murray · Fredrik Lindsten
Oral
Tue Dec 10 04:50 PM -- 05:05 PM (PST) @ West Ballroom A + B
Using a Logarithmic Mapping to Enable Lower Discount Factors in Reinforcement Learning
In Track 3 Session 2
Harm Van Seijen · Mehdi Fatemi · Arash Tavakoli
[ Paper]  [ Poster] 
Oral
Tue Dec 10 04:50 PM -- 05:05 PM (PST) @ West Exhibition Hall C + B3
HYPE: A Benchmark for Human eYe Perceptual Evaluation of Generative Models
In Track 1 Session 2
Sharon Zhou · Mitchell Gordon · Ranjay Krishna · Austin Narcomey · Li Fei-Fei · Michael Bernstein
[ Paper]  [ Poster] 
Oral
Wed Dec 11 10:05 AM -- 10:20 AM (PST) @ West Exhibition Hall A
A neurally plausible model learns successor representations in partially observable environments
In Track 2 Session 3
Eszter Vértes · Maneesh Sahani
[ Paper]  [ Poster] 
Oral
Wed Dec 11 10:05 AM -- 10:20 AM (PST) @ West Ballroom C
Faster width-dependent algorithm for mixed packing and covering LPs
In Track 4 Session 3
Digvijay Boob · Saurabh Sawlani · Di Wang
[ Paper]  [ Poster] 
Oral
Wed Dec 11 10:05 AM -- 10:20 AM (PST) @ West Ballroom A + B
Fast and Accurate Least-Mean-Squares Solvers
In Track 3 Session 3
Ibrahim Jubran · Alaa Maalouf · Dan Feldman
[ Paper]  [ Poster]  [ Slides] 
Oral
Wed Dec 11 10:05 AM -- 10:20 AM (PST) @ West Exhibition Hall C + B3
Scene Representation Networks: Continuous 3D-Structure-Aware Neural Scene Representations
In Track 1 Session 3
Vincent Sitzmann · Michael Zollhoefer · Gordon Wetzstein
Oral
Wed Dec 11 03:50 PM -- 04:05 PM (PST) @ West Exhibition Hall A
Batched Multi-armed Bandits Problem
In Track 2 Session 4
Zijun Gao · Yanjun Han · Zhimei Ren · Zhengqing Zhou
[ Paper]  [ Poster]  [ Slides]  [ Slides] 
Oral
Wed Dec 11 03:50 PM -- 04:05 PM (PST) @ West Ballroom C
Efficient and Thrifty Voting by Any Means Necessary
In Track 4 Session 4
Debmalya Mandal · Ariel Procaccia · Nisarg Shah · David Woodruff
[ Paper]  [ Slides] 
Oral
Wed Dec 11 03:50 PM -- 04:05 PM (PST) @ West Ballroom A + B
Guided Similarity Separation for Image Retrieval
In Track 3 Session 4
Chundi Liu · Guangwei Yu · Maksims Volkovs · Cheng Chang · Himanshu Rai · Junwei Ma · Satya Krishna Gorti
[ Paper]  [ Poster] 
Oral
Wed Dec 11 03:50 PM -- 04:05 PM (PST) @ West Exhibition Hall C + B3
Dynamics of stochastic gradient descent for two-layer neural networks in the teacher-student setup
In Track 1 Session 4
Sebastian Goldt · Madhu Advani · Andrew Saxe · Florent Krzakala · Lenka Zdeborová
[ Paper]  [ Poster]  [ Slides] 
Oral
Wed Dec 11 04:25 PM -- 04:40 PM (PST) @ West Exhibition Hall A
Strategizing against No-regret Learners
In Track 2 Session 4
Yuan Deng · Jon Schneider · Balasubramanian Sivan
[ Paper]  [ Poster] 
Oral
Wed Dec 11 04:25 PM -- 04:40 PM (PST) @ West Ballroom C
Distribution-Independent PAC Learning of Halfspaces with Massart Noise
In Track 4 Session 4
Ilias Diakonikolas · Themis Gouleakis · Christos Tzamos
[ Paper]  [ Slides] 
Oral
Wed Dec 11 04:25 PM -- 04:40 PM (PST) @ West Ballroom A + B
Geometry-Aware Neural Rendering
In Track 3 Session 4
Joshua Tobin · Wojciech Zaremba · Pieter Abbeel
[ Paper]  [ Slides] 
Oral
Wed Dec 11 04:25 PM -- 04:40 PM (PST) @ West Exhibition Hall C + B3
On Making Stochastic Classifiers Deterministic
In Track 1 Session 4
Andrew Cotter · Maya Gupta · Harikrishna Narasimhan
[ Paper]  [ Slides] 
Oral
Thu Dec 12 10:05 AM -- 10:20 AM (PST) @ West Exhibition Hall A
Variance Reduction for Matrix Games
In Track 2 Session 5
Yair Carmon · Yujia Jin · Aaron Sidford · Kevin Tian
[ Paper]  [ Poster]  [ Slides] 
Oral
Thu Dec 12 10:05 AM -- 10:20 AM (PST) @ West Ballroom C
Optimizing Generalized Rate Metrics with Three Players
In Track 4 Session 5
Harikrishna Narasimhan · Andrew Cotter · Maya Gupta
[ Paper]  [ Slides] 
Oral
Thu Dec 12 10:05 AM -- 10:20 AM (PST) @ West Ballroom A + B
Exponentially convergent stochastic k-PCA without variance reduction
In Track 3 Session 5
Cheng Tang
[ Paper]  [ Slides] 
Oral
Thu Dec 12 10:05 AM -- 10:20 AM (PST) @ West Exhibition Hall C + B3
Brain-Like Object Recognition with High-Performing Shallow Recurrent ANNs
In Track 1 Session 5
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
Oral
Thu Dec 12 03:50 PM -- 04:05 PM (PST) @ West Exhibition Hall A
Putting An End to End-to-End: Gradient-Isolated Learning of Representations
In Track 2 Session 6
Sindy Löwe · Peter O'Connor · Bas Veeling
[ Paper]  [ Poster] 
Oral
Thu Dec 12 03:50 PM -- 04:05 PM (PST) @ West Ballroom C
Understanding Sparse JL for Feature Hashing
In Track 4 Session 6
Meena Jagadeesan
[ Paper]  [ Slides]  [ Slides] 
Oral
Thu Dec 12 03:50 PM -- 04:05 PM (PST) @ West Ballroom A + B
Blind Super-Resolution Kernel Estimation using an Internal-GAN
In Track 3 Session 6
Sefi Bell-Kligler · Assaf Shocher · Michal Irani
[ Paper]  [ Poster] 
Oral
Thu Dec 12 03:50 PM -- 04:05 PM (PST) @ West Exhibition Hall C + B3
Average Individual Fairness: Algorithms, Generalization and Experiments
In Track 1 Session 6
Saeed Sharifi-Malvajerdi · Michael Kearns · Aaron Roth
[ Paper]  [ Slides]  [ Slides] 
Oral
Thu Dec 12 04:25 PM -- 04:40 PM (PST) @ West Exhibition Hall A
XLNet: Generalized Autoregressive Pretraining for Language Understanding
In Track 2 Session 6
Zhilin Yang · Zihang Dai · Yiming Yang · Jaime Carbonell · Russ Salakhutdinov · Quoc V Le
[ Paper]  [ Poster] 
Oral
Thu Dec 12 04:25 PM -- 04:40 PM (PST) @ West Ballroom C
R2D2: Reliable and Repeatable Detector and Descriptor
In Track 4 Session 6
Jerome Revaud · Cesar De Souza · Martin Humenberger · Philippe Weinzaepfel
[ Paper]  [ Slides]  [ Slides] 
Oral
Thu Dec 12 04:25 PM -- 04:40 PM (PST) @ West Ballroom A + B
Nonparametric Density Estimation & Convergence Rates for GANs under Besov IPM Losses
In Track 3 Session 6
Ananya Uppal · Shashank Singh · Barnabas Poczos
[ Paper]  [ Poster] 
Oral
Thu Dec 12 04:25 PM -- 04:40 PM (PST) @ West Exhibition Hall C + B3
On Robustness of Principal Component Regression
In Track 1 Session 6
Anish Agarwal · Devavrat Shah · Dennis Shen · Dogyoon Song
[ Paper]  [ Poster]  [ Slides]  [ Slides]