Runzhe Wan - RankMe

31 papers A* 9A 2Journal 18Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Review of Causal Decision Making. CoRR Lin Ge, Hengrui Cai, Runzhe Wan, Yang Xu, Rui Song
2025	—	`conf`	Contextual Deep Reinforcement Learning with Adaptive Value-based Clustering. ICMLT Yuhe Gao, Runzhe Wan, Ioannis Giannakakis, Jinxiang Gu, Rui Song
2025	—	`conf`	Know When to Fold: Futility-Aware Early Termination in Online Experiments. WWW (Companion Volume) Yu Liu, Runzhe Wan, Yian Huang, James McQueen, Doug Hains, Jinxiang Gu, Rui Song
2025	A*	`conf`	Zero-Inflated Bandits. ICML Haoyu Wei, Runzhe Wan, Lei Shi, Rui Song
2024	J	`jnl`	A Review of Reinforcement Learning in Financial Applications. CoRR Yahui Bai, Yuhe Gao, Runzhe Wan, Sheng Zhang, Rui Song
2024	A*	`conf`	Effect Size Estimation for Duration Recommendation in Online Experiments: Leveraging Hierarchical Models and Objective Utility Approaches. AAAI Yu Liu, Runzhe Wan, James McQueen, Doug Hains, Jinxiang Gu, Rui Song
2024	A	`conf`	Robust Offline Reinforcement Learning with Heavy-Tailed Rewards. AISTATS Jin Zhu, Runzhe Wan, Zhengling Qi, Shikai Luo, Chengchun Shi
2023	J	`jnl`	Effect Size Estimation for Duration Recommendation in Online Experiments: Leveraging Hierarchical Models and Objective Utility Approaches. CoRR Yu Liu, Runzhe Wan, James McQueen, Doug Hains, Jinxiang Gu, Rui Song
2023	A*	`conf`	Experimentation Platforms Meet Reinforcement Learning: Bayesian Sequential Decision-Making for Continuous Monitoring. KDD Runzhe Wan, Yu Liu, James McQueen, Doug Hains, Rui Song
2023	J	`jnl`	Experimentation Platforms Meet Reinforcement Learning: Bayesian Sequential Decision-Making for Continuous Monitoring. CoRR Runzhe Wan, Yu Liu, James McQueen, Doug Hains, Rui Song
2023	A*	`conf`	Multiplier Bootstrap-based Exploration. ICML Runzhe Wan, Haoyu Wei, Branislav Kveton, Rui Song
2023	J	`jnl`	Multiplier Bootstrap-based Exploration. CoRR Runzhe Wan, Haoyu Wei, Branislav Kveton, Rui Song
2023	J	`jnl`	Robust Offline Policy Evaluation and Optimization with Heavy-Tailed Rewards. CoRR Jin Zhu, Runzhe Wan, Zhengling Qi, Shikai Luo, Chengchun Shi
2023	J	`jnl`	STEEL: Singularity-aware Reinforcement Learning. CoRR Xiaohong Chen, Zhengling Qi, Runzhe Wan
2023	A	`conf`	Towards Scalable and Robust Structured Bandits: A Meta-Learning Framework. AISTATS Runzhe Wan, Lin Ge, Rui Song
2023	J	`jnl`	Zero-Inflated Bandits. CoRR Haoyu Wei, Runzhe Wan, Lei Shi, Rui Song
2022	J	`jnl`	A Multi-Agent Reinforcement Learning Framework for Off-Policy Evaluation in Two-sided Markets. CoRR Chengchun Shi, Runzhe Wan, Ge Song, Shikai Luo, Rui Song, Hongtu Zhu
2022	J	`jnl`	Heterogeneous Synthetic Learner for Panel Data. CoRR Ye Shen, Runzhe Wan, Hengrui Cai, Rui Song
2022	J	`jnl`	Mining the Factor Zoo: Estimation of Latent Factor Models with Sufficient Proxies. CoRR Runzhe Wan, Yingying Li, Wenbin Lu, Rui Song
2022	A*	`conf`	Safe Exploration for Efficient Policy Evaluation and Comparison. ICML Runzhe Wan, Branislav Kveton, Rui Song
2022	J	`jnl`	Safe Exploration for Efficient Policy Evaluation and Comparison. CoRR Runzhe Wan, Branislav Kveton, Rui Song
2022	J	`jnl`	Towards Scalable and Robust Structured Bandits: A Meta-Learning Framework. CoRR Runzhe Wan, Lin Ge, Rui Song
2021	A*	`conf`	Deeply-Debiased Off-Policy Interval Estimation. ICML Chengchun Shi, Runzhe Wan, Victor Chernozhukov, Rui Song
2021	J	`jnl`	Deeply-Debiased Off-Policy Interval Estimation. CoRR Chengchun Shi, Runzhe Wan, Victor Chernozhukov, Rui Song
2021	A*	`conf`	Metadata-based Multi-Task Bandits with Bayesian Hierarchical Models. NeurIPS Runzhe Wan, Lin Ge, Rui Song
2021	J	`jnl`	Metadata-based Multi-Task Bandits with Bayesian Hierarchical Models. CoRR Runzhe Wan, Lin Ge, Rui Song
2021	A*	`conf`	Multi-Objective Model-based Reinforcement Learning for Infectious Disease Control. KDD Runzhe Wan, Xinyu Zhang, Rui Song
2021	J	`jnl`	Pattern Transfer Learning for Reinforcement Learning in Order Dispatching. CoRR Runzhe Wan, Sheng Zhang, Chengchun Shi, Shikai Luo, Rui Song
2020	A*	`conf`	Does the Markov Decision Process Fit the Data: Testing for the Markov Property in Sequential Decision Making. ICML Chengchun Shi, Runzhe Wan, Rui Song, Wenbin Lu, Ling Leng
2020	J	`jnl`	Does the Markov Decision Process Fit the Data: Testing for the Markov Property in Sequential Decision Making. CoRR Chengchun Shi, Runzhe Wan, Rui Song, Wenbin Lu, Ling Leng
2020	J	`jnl`	Multi-Objective Reinforcement Learning for Infectious Disease Control with Application to COVID-19 Spread. CoRR Runzhe Wan, Xinyu Zhang, Rui Song