Tuesday, December 10
10:45 AM–12:45 PM | East Exhibition Hall B + C #92
Locally Private Gaussian Estimation
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?
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
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
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
David Janz, Jiri Hron, Przemysław Mazur, Katja Hofmann, Jose Miguel Hernandez-Lobato, Sebastian Tschiatschek
5:30 PM–7:30 PM | East Exhibition Hall B + C #87
Twin Auxilary Classifiers GAN
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
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
Robert Ness, Kaushal Paneri, Olga Vitek
5:30 PM–7:30 PM | East Exhibition Hall B + C #154
Poisson-randomized Gamma Dynamical Systems
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
Kamil Ciosek, Quan Vuong, Robert Loftin, 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
Andrey Kolobov, Yuval Peres, Cheng Lu, Eric Horvitz
Wednesday, December 11
10:45 AM–12:45 PM | East Exhibition Hall B + C #104
Normalization Helps Training of Quantized LSTM
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
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
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
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
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
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?
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
Jonas Mueller, Vasilis Syrgkanis, Matt Taddy
5:00 PM–7:00 PM | East Exhibition Hall B + C #30
Metalearned Neural Memory
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
Yi Ren, Yangjun Ruan, Xu Tan, Tao Qin, Sheng Zhao, 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
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 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
Wenlin Wang, Chenyang Tao, Zhe Gan, 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
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
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
Wenbo Gong, Sebastian Tschiatschek, Sebastian Nowozin, Richard E Turner, José Miguel Hernández-Lobato, Cheng Zhang
5:00 PM–7:00 PM | East Exhibition Hall B + C #202
Budgeted Reinforcement Learing in Continuous State Space
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
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
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
Yuzhe Ma, Xuezhou Zhang, Wen Sun, Jerry Zhu
10:45 AM–12:45 PM | East Exhibition Hall B + C #24
Provably Robust Deep Learning via Adversarially Trained Smoothed Classifiers
Hadi Salman, 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
Hanzhang Hu, John Langford, Rich Caruana, Saurajit Mukherjee, 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
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
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
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
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
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
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
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
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
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
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
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
Li Dong, Nan Yang, Wenhui Wang, Furu Wei, Xiaodong Liu, Yu Wang, 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
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
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
Joshua Allen, Bolin Ding, Janardhan Kulkarni, Harsha Nori, Olga Ohrimenko, Sergey Yekhanin
5:00 PM–7:00 PM | East Exhibition Hall B + C #160
Oblivious Sampling Algorithms for Private Data Analysis
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
Richard Shin, Miltos Allamanis, Marc Brockschmidt, Alex Polozov
5:00 PM–7:00 PM | East Exhibition Hall B + C #194
Ordered Memory
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
Kiran Thekumparampil, Prateek Jain, Praneeth Netrapalli, Sewoong Oh