Tuesday, December 10
10:45 AM–12:45 PM | East Exhibition Hall B + C #92
Locally Private Gaussian Estimation (opens in new tab)
Matthew Joseph, Janardhan Kulkarni, Jieming Mao, Steven Wu
10:45 AM–12:45 PM | East Exhibition Hall B + C #150
Can SGD Learn Recurrent Neural Networks with Provable Generalization? (opens in new tab)
Zeyuan Allen-Zhu, Yuanzhi Li
10:45 AM–12:45 PM | East Exhibition Hall B + C #183
Deep Generalized Method of Moments for Instrumental Variable Analysis (opens in new tab)
Andrew Bennett, Nathan Kallus, Tobias Schnabel
10:45 AM–12:45 PM | East Exhibition Hall B + C #185
Machine Learning Estimation of Heterogeneous Treatment Effects with Instruments (opens in new tab)
Vasilis Syrgkanis, Victor Lei, Miruna Oprescu, Maggie Hei, Keith Battocchi, Greg Lewis
10:45 AM–12:45 PM | East Exhibition Hall B + C #198
Successor Uncertainties: Exploration and Uncertainty in Temporal Difference Learning (opens in new tab)
David Janz, Jiri Hron, Przemysław Mazur, Katja Hofmann, Jose Miguel Hernandez-Lobato (opens in new tab), Sebastian Tschiatschek
5:30 PM–7:30 PM | East Exhibition Hall B + C #87
Twin Auxilary Classifiers GAN (opens in new tab)
Mingming Gong, Yanwu Xu, Chunyuan Li, Kun Zhang, Kayhan Batmanghelich
5:30 PM–7:30 PM | East Exhibition Hall B + C #92
Learning and Generalization in Overparameterized Neural Networks, Going Beyond Two Layers (opens in new tab)
Zeyuan Allen-Zhu, Yuanzhi Li, Yingyu Liang
5:30 PM–7:30 PM | East Exhibition Hall B + C #135
Integrating mechanistic and structural causal models enables counterfactual inference in complex systems (opens in new tab)
Robert Ness, Kaushal Paneri (opens in new tab), Olga Vitek
5:30 PM–7:30 PM | East Exhibition Hall B + C #154
Poisson-randomized Gamma Dynamical Systems (opens in new tab)
Aaron Schein, Scott Linderman, Mingyuan Zhou, David Blei, Hanna Wallach
5:30 PM–7:30 PM | East Exhibition Hall B + C #179
Better Exploration with Optimistic Actor Critic (opens in new tab)
Kamil Ciosek, Quan Vuong, Robert Loftin (opens in new tab), Katja Hofmann
5:30 PM–7:30 PM | East Exhibition Hall B + C #213
Staying up to Date with Online Content Changes Using Reinforcement Learning for Scheduling (opens in new tab)
Andrey Kolobov, Yuval Peres, Cheng Lu (opens in new tab), Eric Horvitz
Wednesday, December 11
10:45 AM–12:45 PM | East Exhibition Hall B + C #104
Normalization Helps Training of Quantized LSTM (opens in new tab)
Lu Hou, Jinhua Zhu, James Kwok, Fei Gao, Tao Qin, Tie-Yan Liu
10:45 AM–12:45 PM | East Exhibition Hall B + C #107
Shallow RNN: Accurate Time-series Classification on Resource Constrained Devices (opens in new tab)
Don Dennis, Durmus Alp Emre Acar, Vikram Mandikal, Vinu Sankar Sadasivan, Venkatesh Saligrama, Harsha Vardhan Simhadri, Prateek Jain
10:45 AM–12:45 PM | East Exhibition Hall B + C #158
A Stochastic Composite Gradient Method with Incremental Variance Reduction (opens in new tab)
Junyu Zhang, Lin Xiao
10:45 AM–12:45 PM | East Exhibition Hall B + C #163
Understanding the Role of Momentum in Stochastic Gradient Methods (opens in new tab)
Igor Gitman, Hunter Lang, Pengchuan Zhang, Lin Xiao
10:45 AM–12:45 PM | East Exhibition Hall B + C #203
Distributional Reward Decomposition for Reinforcement Learning (opens in new tab)
Zichuan Lin, Li Zhao, Derek Yang, Tao Qin, Tie-Yan Liu, Guangwen Yang
10:45 AM–12:45 PM | East Exhibition Hall B + C #208
Fully Parameterized Quantile Function for Distributional Reinforcement Learning (opens in new tab)
Derek Yang, Li Zhao, Zichuan Lin, Tao Qin, Jiang Bian, Tie-Yan Liu
10:45 AM–12:45 PM | East Exhibition Hall B + C #231
What Can ResNet Learn Efficiently, Going Beyond Kernels? (opens in new tab)
Zeyuan Allen-Zhu, Yuanzhi Li
5:00 PM–7:00 PM | East Exhibition Hall B + C #3
Low-Rank Bandit Methods for High-Dimensional Dynamic Pricing (opens in new tab)
Jonas Mueller, Vasilis Syrgkanis, Matt Taddy
5:00 PM–7:00 PM | East Exhibition Hall B + C #30
Metalearned Neural Memory (opens in new tab)
Tsendsuren Munkhdalai, Alessandro Sordoni, Tong Wang, Adam Trischler
5:00 PM–7:00 PM | East Exhibition Hall B + C #76
FastSpeech: Fast, Robust and Controllable Text to Speech (opens in new tab)
Yi Ren, Yangjun Ruan, Xu Tan, Tao Qin, Sheng Zhao (opens in new tab), Zhou Zhao, Tie-Yan Liu
5:00 PM–7:00 PM | East Exhibition Hall B + C #94
Rand-NSG: Fast Accurate Billion-point Nearest Neighbor Search on a Single Node (opens in new tab)
Suhas Jayaram Subramanya, Devvrit Lnu, Harsha Vardhan Simhadri, Ravishankar Krishnawamy, Rohan Kadekodi
5:00 PM–7:00 PM | East Exhibition Hall B + C #101
A Tensorized Transformer for Language Modeling (opens in new tab) Xindian Ma, Peng Zhang, Shuai Zhang, Nan Duan, Yuexian Hou, Ming Zhou, Dawei Song
5:00 PM–7:00 PM | East Exhibition Hall B + C #106
Improving Textual Network Learning with Variational Homophilic Embeddings (opens in new tab)
Wenlin Wang, Chenyang Tao, Zhe Gan (opens in new tab), Guoyin Wang, Liqun Chen, Xinyuan Zhang, Ruiyi Zhang, Qian Yang, Ricardo Henao, Lawrence Carin
5:00 PM–7:00 PM | East Exhibition Hall B + C #122
Neuropathic Pain Diagnosis Simulator for Causal Discovery Algorithm Evaluation (opens in new tab)
Ruibo Tu, Kun Zhang, Bo Bertilson, Hedvig Kjellstrom, Cheng Zhang
5:00 PM–7:00 PM | East Exhibition Hall B + C #136
Bias Correction of Learned Generative Models using Likelihood-Free Importance Weighting (opens in new tab)
Aditya Grover, Jiaming Song, Ashish Kapoor, Kenneth Tran, Alekh Agarwal, Eric Horvitz, Stefano Ermon
5:00 PM–7:00 PM | East Exhibition Hall B + C #143
Icebreaker: Element-wise Efficient Information Acquisition with Active Learning (opens in new tab)
Wenbo Gong, Sebastian Tschiatschek, Sebastian Nowozin, Richard E Turner (opens in new tab), José Miguel Hernández-Lobato (opens in new tab), Cheng Zhang
5:00 PM–7:00 PM | East Exhibition Hall B + C #202
Budgeted Reinforcement Learing in Continuous State Space (opens in new tab)
Nicolas Carrara, Edouard Leurent, Romain Laroche, Tanguy Urvoy, Odalric-Ambrym Maillard, and Olivier Pietquin
5:00 PM–7:00 PM | East Exhibition Hall B + C #232
Semi-Parametric Efficient Policy Learning with Continuous Actions (opens in new tab)
Victor Chernozhukov, Mert Demirer, Greg Lewis, Vasilis Syrgkanis
5:00 PM–7:00 PM | East Exhibition Hall B + C #242
Wide Feedforward or Recurrent Neural Networks of Any Architecture are Gaussian Processes (opens in new tab)
Greg Yang
Thursday, December 12
10:45 AM–12:45 PM | East Exhibition Hall B + C #21
Policy Poisoning in Batch Reinforcement Learning and Control (opens in new tab)
Yuzhe Ma, Xuezhou Zhang, Wen Sun (opens in new tab), Jerry Zhu
10:45 AM–12:45 PM | East Exhibition Hall B + C #24
Provably Robust Deep Learning via Adversarially Trained Smoothed Classifiers (opens in new tab)
Hadi Salman (opens in new tab), Jerry Li, Ilya Razenshteyn, Pengchuan Zhang, Huan Zhang, Sebastien Bubeck, Greg Yang
10:45 AM–12:45 PM | East Exhibition Hall B + C #27
Efficient Forward Architecture Search (opens in new tab)
Hanzhang Hu, John Langford, Rich Caruana, Saurajit Mukherjee (opens in new tab), Eric Horvitz, Debadeepta Dey
10:45 AM–12:45 PM | East Exhibition Hall B + C #34
Procrastinating with Confidence: Near-Optimal, Anytime, Adaptive Algorithm Configuration (opens in new tab)
Robert Kleinberg, Kevin Leyton-Brown, Brendan Lucier, Devon Graham
10:45 AM–12:45 PM | East Exhibition Hall B + C #70
Unsupervised State Representation Learning in Atari (opens in new tab)
Ankesh Anand, Sherjil Ozair, Evan Racah, Yoshua Bengio, Marc-Alexandre Côté, Devon Hjelm
10:45 AM–12:45 PM | East Exhibition Hall B + C #75
Characterizing Bias in Classifiers using Generative Models (opens in new tab)
Daniel McDuff, Shuang Ma, Yale Song, Ashish Kapoor
10:45 AM–12:45 PM | East Exhibition Hall B + C #169
On the Convergence Rate of Training Recurrent Neural Networks (opens in new tab)
Zeyuan Allen-Zhu, Yuanzhi Li, Zhao Song
10:45 AM–12:45 PM | East Exhibition Hall B + C #173
Using Statistics to Automate Stochastic Optimization (opens in new tab)
Hunter Lang, Pengchuan Zhang, Lin Xiao
10:45 AM–12:45 PM | East Exhibition Hall B + C #210
The Step Decay Schedule: A Near Optimal, Geometrically Decaying Learning Rate Procedure For Least Squares (opens in new tab)
Rong Ge, Sham M. Kakade, Rahul Kidambi, Praneeth Netrapalli
10:45 AM–12:45 PM | East Exhibition Hall B + C #228
Generalization in Reinforcement Learning with Selective Noise Injection and Information Bottleneck (opens in new tab)
Maximilian Igl, Kamil Ciosek, Yingzhen Li, Sebastian Tschiatschek, Cheng Zhang, Sam Devlin, Katja Hofmann
10:45 AM–12:45 PM | East Exhibition Hall B + C #232
Reinforcement Learning with Convex Constraints (opens in new tab)
Sobhan Miryoosefi, Kianté Brantley, Hal Daume III, Miro Dudik, Robert Schapire
5:00 PM–7:00 PM | East Exhibition Hall B + C #9
Minimum Stein Discrepancy Estimators (opens in new tab)
Alessandro Barp, Francois-Xavier Briol, Andrew Duncan, Mark Girolami, Lester Mackey
5:00 PM–7:00 PM | East Exhibition Hall B + C #32
Learning Representations by Maximizing Mutual Information Across Views (opens in new tab)
Philip Bachman, R Devon Hjelm, William Buchwalter
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5:00 PM–7:00 PM | East Exhibition Hall B + C #51
Sample Complexity of Learning Mixture of Sparse Linear Regressions (opens in new tab)
Akshay Krishnamurthy, Arya Mazumdar, Andrew McGregor, Soumyabrata Pal
5:00 PM–7:00 PM | East Exhibition Hall B + C #140
Unified Language Model Pre-training for Natural Language Understanding and Generation (opens in new tab)
Li Dong, Nan Yang (opens in new tab), Wenhui Wang (opens in new tab), Furu Wei, Xiaodong Liu, Yu Wang (opens in new tab), Jianfeng Gao, Ming Zhou, Hsiao-Wuen Hon
5:00 PM–7:00 PM | East Exhibition Hall B + C #142
Adaptive Influence Maximization with Myopic Feedback (opens in new tab)
Binghui Peng, Wei Chen
5:00 PM–7:00 PM | East Exhibition Hall B + C #152
A Convex Relaxation Barrier to Tight Robustness Verification of Neural Networks (opens in new tab)
Hadi Salman, Greg Yang, Huan Zhang, Cho-Jui Hsieh, Pengchuan Zhang
5:00 PM–7:00 PM | East Exhibition Hall B + C #153
An Algorithmic Framework For Differentially Private Data Analysis on Trusted Processors (opens in new tab)
Joshua Allen (opens in new tab), Bolin Ding, Janardhan Kulkarni, Harsha Nori (opens in new tab), Olga Ohrimenko, Sergey Yekhanin
5:00 PM–7:00 PM | East Exhibition Hall B + C #160
Oblivious Sampling Algorithms for Private Data Analysis (opens in new tab)
Sajin Sasy, Olga Ohrimenko
5:00 PM–7:00 PM | East Exhibition Hall B + C #168
Program Synthesis and Semantic Parsing with Learned Code Idioms (opens in new tab)
Richard Shin, Miltos Allamanis, Marc Brockschmidt, Alex Polozov
5:00 PM–7:00 PM | East Exhibition Hall B + C #194
Ordered Memory (opens in new tab)
Yikang Shen, Shawn Tan, Arian Hosseini, Zhouhan Lin, Alessandro Sordoni, Aaron Courville
5:00 PM–7:00 PM | East Exhibition Hall B + C #213
Efficient Algorithms for Smooth Minimax Optimization (opens in new tab)
Kiran Thekumparampil, Prateek Jain, Praneeth Netrapalli, Sewoong Oh