Wan, Runzhe

9 publications

ICML 2025 Zero-Inflated Bandits Haoyu Wei, Runzhe Wan, Lei Shi, Rui Song

AAAI 2024 Effect Size Estimation for Duration Recommendation in Online Experiments: Leveraging Hierarchical Models and Objective Utility Approaches Yu Liu, Runzhe Wan, James McQueen, Doug Hains, Jinxiang Gu, Rui Song

AISTATS 2024 Robust Offline Reinforcement Learning with Heavy-Tailed Rewards Jin Zhu, Runzhe Wan, Zhengling Qi, Shikai Luo, Chengchun Shi

ICML 2023 Multiplier Bootstrap-Based Exploration Runzhe Wan, Haoyu Wei, Branislav Kveton, Rui Song

AISTATS 2023 Towards Scalable and Robust Structured Bandits: A Meta-Learning Framework Runzhe Wan, Lin Ge, Rui Song

ICML 2022 Safe Exploration for Efficient Policy Evaluation and Comparison Runzhe Wan, Branislav Kveton, Rui Song

ICML 2021 Deeply-Debiased Off-Policy Interval Estimation Chengchun Shi, Runzhe Wan, Victor Chernozhukov, Rui Song

NeurIPS 2021 Metadata-Based Multi-Task Bandits with Bayesian Hierarchical Models Runzhe Wan, Lin Ge, Rui Song

ICML 2020 Does the Markov Decision Process Fit the Data: Testing for the Markov Property in Sequential Decision Making Chengchun Shi, Runzhe Wan, Rui Song, Wenbin Lu, Ling Leng