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Tue 7:00 Distributionally Robust Policy Evaluation and Learning in Offline Contextual Bandits
Nian Si · Fan Zhang · Zhengyuan Zhou · Jose Blanchet
Tue 7:00 Online Learning for Active Cache Synchronization
Andrey Kolobov · Sebastien Bubeck · Julian Zimmert
Tue 7:00 Random Hypervolume Scalarizations for Provable Multi-Objective Black Box Optimization
Richard Zhang · Daniel Golovin
Tue 7:00 Concentration bounds for CVaR estimation: The cases of light-tailed and heavy-tailed distributions
Prashanth L.A. · Krishna Jagannathan · Ravi Kolla
Tue 7:00 Combinatorial Pure Exploration for Dueling Bandit
Wei Chen · Yihan Du · Longbo Huang · Haoyu Zhao
Tue 8:00 Learning Adversarial Markov Decision Processes with Bandit Feedback and Unknown Transition
Chi Jin · Tiancheng Jin · Haipeng Luo · Suvrit Sra · Tiancheng Yu
Tue 8:00 FormulaZero: Distributionally Robust Online Adaptation via Offline Population Synthesis
Aman Sinha · Matthew O'Kelly · Hongrui Zheng · Rahul Mangharam · John Duchi · Russ Tedrake
Tue 8:00 Online Pricing with Offline Data: Phase Transition and Inverse Square Law
Jinzhi Bu · David Simchi-Levi · Yunzong Xu
Tue 8:00 Boosting for Control of Dynamical Systems
Naman Agarwal · Nataly Brukhim · Elad Hazan · Zhou Lu
Tue 9:00 Beyond UCB: Optimal and Efficient Contextual Bandits with Regression Oracles
Dylan Foster · Alexander Rakhlin
Tue 9:00 Neural Contextual Bandits with UCB-based Exploration
Dongruo Zhou · Lihong Li · Quanquan Gu
Tue 10:00 A simpler approach to accelerated optimization: iterative averaging meets optimism
Pooria Joulani · Anant Raj · András György · Csaba Szepesvari