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2020 – today
- 2024
[c10]Yu Liu, Runzhe Wan, James McQueen, Doug Hains, Jinxiang Gu, Rui Song:
Effect Size Estimation for Duration Recommendation in Online Experiments: Leveraging Hierarchical Models and Objective Utility Approaches. AAAI 2024: 14044-14051- [c9]Jin Zhu, Runzhe Wan, Zhengling Qi, Shikai Luo, Chengchun Shi:
Robust Offline Reinforcement Learning with Heavy-Tailed Rewards. AISTATS 2024: 541-549 - [i17]Yahui Bai, Yuhe Gao, Runzhe Wan, Sheng Zhang, Rui Song:
A Review of Reinforcement Learning in Financial Applications. CoRR abs/2411.12746 (2024) - 2023
- [c8]Runzhe Wan, Lin Ge, Rui Song:
Towards Scalable and Robust Structured Bandits: A Meta-Learning Framework. AISTATS 2023: 1144-1173 - [c7]Runzhe Wan, Haoyu Wei, Branislav Kveton, Rui Song:
Multiplier Bootstrap-based Exploration. ICML 2023: 35444-35490 - [c6]Runzhe Wan
, Yu Liu, James McQueen, Doug Hains, Rui Song:
Experimentation Platforms Meet Reinforcement Learning: Bayesian Sequential Decision-Making for Continuous Monitoring. KDD 2023: 5016-5027 - [i16]Xiaohong Chen, Zhengling Qi, Runzhe Wan:
STEEL: Singularity-aware Reinforcement Learning. CoRR abs/2301.13152 (2023) - [i15]Runzhe Wan, Haoyu Wei, Branislav Kveton, Rui Song:
Multiplier Bootstrap-based Exploration. CoRR abs/2302.01543 (2023) - [i14]Runzhe Wan, Yu Liu, James McQueen, Doug Hains, Rui Song:
Experimentation Platforms Meet Reinforcement Learning: Bayesian Sequential Decision-Making for Continuous Monitoring. CoRR abs/2304.00420 (2023) - [i13]Jin Zhu, Runzhe Wan, Zhengling Qi, Shikai Luo, Chengchun Shi:
Robust Offline Policy Evaluation and Optimization with Heavy-Tailed Rewards. CoRR abs/2310.18715 (2023) - [i12]Yu Liu, Runzhe Wan, James McQueen, Doug Hains, Jinxiang Gu, Rui Song:
Effect Size Estimation for Duration Recommendation in Online Experiments: Leveraging Hierarchical Models and Objective Utility Approaches. CoRR abs/2312.12871 (2023) - [i11]Haoyu Wei, Runzhe Wan, Lei Shi, Rui Song:
Zero-Inflated Bandits. CoRR abs/2312.15595 (2023) - 2022
- [c5]Runzhe Wan, Branislav Kveton, Rui Song:
Safe Exploration for Efficient Policy Evaluation and Comparison. ICML 2022: 22491-22511 - [i10]Chengchun Shi, Runzhe Wan, Ge Song, Shikai Luo, Rui Song, Hongtu Zhu:
A Multi-Agent Reinforcement Learning Framework for Off-Policy Evaluation in Two-sided Markets. CoRR abs/2202.10574 (2022) - [i9]Runzhe Wan, Lin Ge, Rui Song:
Towards Scalable and Robust Structured Bandits: A Meta-Learning Framework. CoRR abs/2202.13227 (2022) - [i8]Runzhe Wan, Branislav Kveton, Rui Song:
Safe Exploration for Efficient Policy Evaluation and Comparison. CoRR abs/2202.13234 (2022) - [i7]Runzhe Wan, Yingying Li, Wenbin Lu, Rui Song:
Mining the Factor Zoo: Estimation of Latent Factor Models with Sufficient Proxies. CoRR abs/2212.12845 (2022) - [i6]Ye Shen, Runzhe Wan, Hengrui Cai, Rui Song:
Heterogeneous Synthetic Learner for Panel Data. CoRR abs/2212.14580 (2022) - 2021
- [c4]Chengchun Shi, Runzhe Wan, Victor Chernozhukov, Rui Song:
Deeply-Debiased Off-Policy Interval Estimation. ICML 2021: 9580-9591 - [c3]Runzhe Wan, Xinyu Zhang, Rui Song:
Multi-Objective Model-based Reinforcement Learning for Infectious Disease Control. KDD 2021: 1634-1644 - [c2]Runzhe Wan, Lin Ge, Rui Song:
Metadata-based Multi-Task Bandits with Bayesian Hierarchical Models. NeurIPS 2021: 29655-29668 - [i5]Chengchun Shi, Runzhe Wan, Victor Chernozhukov, Rui Song:
Deeply-Debiased Off-Policy Interval Estimation. CoRR abs/2105.04646 (2021) - [i4]Runzhe Wan, Sheng Zhang, Chengchun Shi, Shikai Luo, Rui Song:
Pattern Transfer Learning for Reinforcement Learning in Order Dispatching. CoRR abs/2105.13218 (2021) - [i3]Runzhe Wan, Lin Ge, Rui Song:
Metadata-based Multi-Task Bandits with Bayesian Hierarchical Models. CoRR abs/2108.06422 (2021) - 2020
- [c1]Chengchun Shi, Runzhe Wan, Rui Song, Wenbin Lu, Ling Leng:
Does the Markov Decision Process Fit the Data: Testing for the Markov Property in Sequential Decision Making. ICML 2020: 8807-8817 - [i2]Chengchun Shi, Runzhe Wan, Rui Song, Wenbin Lu, Ling Leng:
Does the Markov Decision Process Fit the Data: Testing for the Markov Property in Sequential Decision Making. CoRR abs/2002.01751 (2020) - [i1]Runzhe Wan, Xinyu Zhang, Rui Song:
Multi-Objective Reinforcement Learning for Infectious Disease Control with Application to COVID-19 Spread. CoRR abs/2009.04607 (2020)
Coauthor Index
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