Russo, Daniel

19 publications

NeurIPS 2025 Contextual Thompson Sampling via Generation of Missing Data Kelly W. Zhang, Tiffany Cai, Hongseok Namkoong, Daniel Russo

NeurIPSW 2024 Posterior Sampling via Autoregressive Generation Kelly W. Zhang, Tiffany Cai, Hongseok Namkoong, Daniel Russo

ICML 2023 An Information-Theoretic Analysis of Nonstationary Bandit Learning Seungki Min, Daniel Russo

NeurIPSW 2023 Generalized Objectives in Adaptive Experiments: The Frontier Between Regret and Speed Chao Qin, Daniel Russo

ICML 2023 On the Statistical Benefits of Temporal Difference Learning David Cheikhi, Daniel Russo

NeurIPS 2022 Temporally-Consistent Survival Analysis Lucas Maystre, Daniel Russo

AISTATS 2021 On the Linear Convergence of Policy Gradient Methods for Finite MDPs Jalaj Bhandari, Daniel Russo

COLT 2021 Learning to Stop with Surprisingly Few Samples Daniel Russo, Assaf Zeevi, Tianyi Zhang

NeurIPSW 2021 On Adaptivity and Confounding in Contextual Bandit Experiments Chao Qin, Daniel Russo

NeurIPS 2019 Worst-Case Regret Bounds for Exploration via Randomized Value Functions Daniel Russo

COLT 2018 A Finite Time Analysis of Temporal Difference Learning with Linear Function Approximation Jalaj Bhandari, Daniel Russo, Raghav Singal

FnTML 2018 A Tutorial on Thompson Sampling Daniel Russo, Benjamin Van Roy, Abbas Kazerouni, Ian Osband, Zheng Wen

NeurIPS 2017 Improving the Expected Improvement Algorithm Chao Qin, Diego Klabjan, Daniel Russo

JMLR 2016 An Information-Theoretic Analysis of Thompson Sampling Daniel Russo, Benjamin Van Roy

AISTATS 2016 Controlling Bias in Adaptive Data Analysis Using Information Theory Daniel Russo, James Zou

COLT 2016 Simple Bayesian Algorithms for Best Arm Identification Daniel Russo

NeurIPS 2014 Learning to Optimize via Information-Directed Sampling Daniel Russo, Benjamin Van Roy

NeurIPS 2013 (More) Efficient Reinforcement Learning via Posterior Sampling Ian Osband, Daniel Russo, Benjamin Van Roy

NeurIPS 2013 Eluder Dimension and the Sample Complexity of Optimistic Exploration Daniel Russo, Benjamin Van Roy