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Poster	Tue 14:00	Near-Optimal Provable Uniform Convergence in Offline Policy Evaluation for Reinforcement Learning Ming Yin · Yu Bai · Yu-Xiang Wang
Oral	Tue 16:30	Near-Optimal Provable Uniform Convergence in Offline Policy Evaluation for Reinforcement Learning Ming Yin · Yu Bai · Yu-Xiang Wang
Poster	Tue 18:30	Q-learning with Logarithmic Regret Kunhe Yang · Lin Yang · Simon Du
Poster	Tue 18:30	Parametric Programming Approach for More Powerful and General Lasso Selective Inference Vo Nguyen Le Duy · Ichiro Takeuchi
Poster	Tue 18:30	On the High Accuracy Limitation of Adaptive Property Estimation Yanjun Han
Poster	Wed 6:00	On the Importance of Hyperparameter Optimization for Model-based Reinforcement Learning Baohe Zhang · Raghu Rajan · Luis Pineda · Nathan Lambert · André Biedenkapp · Kurtland Chua · Frank Hutter · Roberto Calandra
Poster	Wed 6:00	Fast Learning in Reproducing Kernel Krein Spaces via Signed Measures Fanghui Liu · Xiaolin Huang · Yingyi Chen · Johan Suykens
Poster	Wed 12:45	Abstract Value Iteration for Hierarchical Reinforcement Learning Kishor Jothimurugan · Osbert Bastani · Rajeev Alur
Poster	Wed 12:45	DebiNet: Debiasing Linear Models with Nonlinear Overparameterized Neural Networks Shiyun Xu · Zhiqi Bu
Poster	Wed 12:45	Completing the Picture: Randomized Smoothing Suffers from the Curse of Dimensionality for a Large Family of Distributions Yihan Wu · Aleksandar Bojchevski · Aleksei Kuvshinov · Stephan Günnemann
Poster	Wed 12:45	Hierarchical Clustering in General Metric Spaces using Approximate Nearest Neighbors Benjamin Moseley · Sergei Vassilvtiskii · Yuyan Wang
Poster	Thu 7:30	Reinforcement Learning in Parametric MDPs with Exponential Families Sayak Ray Chowdhury · Aditya Gopalan · Odalric Maillard