Foster, Dylan

8 publications

COLT 2021 Instance-Dependent Complexity of Contextual Bandits and Reinforcement Learning: A Disagreement-Based Perspective Dylan Foster, Alexander Rakhlin, David Simchi-Levi, Yunzong Xu
ICML 2020 Beyond UCB: Optimal and Efficient Contextual Bandits with Regression Oracles Dylan Foster, Alexander Rakhlin
L4DC 2020 Learning Nonlinear Dynamical Systems from a Single Trajectory Dylan Foster, Tuhin Sarkar, Alexander Rakhlin
ICML 2020 Logarithmic Regret for Adversarial Online Control Dylan Foster, Max Simchowitz
ICML 2020 Naive Exploration Is Optimal for Online LQR Max Simchowitz, Dylan Foster
ICML 2020 Tight Bounds on Minimax Regret Under Logarithmic Loss via Self-Concordance Blair Bilodeau, Dylan Foster, Daniel Roy
ICML 2019 Distributed Learning with Sublinear Communication Jayadev Acharya, Chris De Sa, Dylan Foster, Karthik Sridharan
ICML 2018 Practical Contextual Bandits with Regression Oracles Dylan Foster, Alekh Agarwal, Miroslav Dudik, Haipeng Luo, Robert Schapire