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455 * ! Wed, 8/10/2022, 2:00 PM - 3:50 PM CC-151A
Learning Under Nonstationarity — Invited Papers
Section on Statistical Learning and Data Science, Section on Nonparametric Statistics, Section on Statistical Computing
Organizer(s): Piotr Fryzlewicz, London School of Economics
Chair(s): David Matteson, Cornell University
2:05 PM Nonstationary Reinforcement Learning Without Prior Knowledge: An Optimal Black-Box Approach
Chen-Yu Wei, University of Southern California; Haipeng Luo, University of Southern California
2:25 PM Testing Nonstationary and Policy Optimization in Reinforcement Learning
Chengchun Shi, London School of Economics and Political Science; Mengbing Li, University of Michigan; Zhenke Wu, University of Michigan, Ann Arbor; Piotr Fryzlewicz, London School of Economics
2:45 PM A Similarity Measure for Second-Order Properties of Nonstationary Functional Time Series with Applications to Clustering and Testing
Anne van Delft, Columbia University; Holger Dette, Ruhr University Bochum
3:05 PM Bandit Learning with Endogenous Drift
assaf zeevi, columbia university
3:25 PM Discussant: Piotr Fryzlewicz, London School of Economics
3:45 PM Floor Discussion