Runzhe Wan

According to our database, Runzhe Wan authored at least 17 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Zero-Inflated Bandits.

Haoyu Wei, Runzhe Wan, Lei Shi, Rui Song

CoRR, 2023

Robust Offline Policy Evaluation and Optimization with Heavy-Tailed Rewards.

Jin Zhu, Runzhe Wan, Zhengling Qi, Shikai Luo, Chengchun Shi

CoRR, 2023

STEEL: Singularity-aware Reinforcement Learning.

Xiaohong Chen, Zhengling Qi, Runzhe Wan

CoRR, 2023

Experimentation Platforms Meet Reinforcement Learning: Bayesian Sequential Decision-Making for Continuous Monitoring.

Runzhe Wan, Yu Liu, James McQueen, Doug Hains, Rui Song

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Multiplier Bootstrap-based Exploration.

Runzhe Wan, Haoyu Wei, Branislav Kveton, Rui Song

Proceedings of the International Conference on Machine Learning, 2023

Towards Scalable and Robust Structured Bandits: A Meta-Learning Framework.

Runzhe Wan, Lin Ge, Rui Song

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Heterogeneous Synthetic Learner for Panel Data.

Ye Shen, Runzhe Wan, Hengrui Cai, Rui Song

CoRR, 2022

Mining the Factor Zoo: Estimation of Latent Factor Models with Sufficient Proxies.

Runzhe Wan, Yingying Li, Wenbin Lu, Rui Song

CoRR, 2022

A Multi-Agent Reinforcement Learning Framework for Off-Policy Evaluation in Two-sided Markets.

Chengchun Shi, Runzhe Wan, Ge Song, Shikai Luo, Rui Song, Hongtu Zhu

CoRR, 2022

Safe Exploration for Efficient Policy Evaluation and Comparison.

Runzhe Wan, Branislav Kveton, Rui Song

Proceedings of the International Conference on Machine Learning, 2022

2021

Pattern Transfer Learning for Reinforcement Learning in Order Dispatching.

Runzhe Wan, Sheng Zhang, Chengchun Shi, Shikai Luo, Rui Song

CoRR, 2021

Metadata-based Multi-Task Bandits with Bayesian Hierarchical Models.

Runzhe Wan, Lin Ge, Rui Song

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Multi-Objective Model-based Reinforcement Learning for Infectious Disease Control.

Runzhe Wan, Xinyu Zhang, Rui Song

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Deeply-Debiased Off-Policy Interval Estimation.

Chengchun Shi, Runzhe Wan, Victor Chernozhukov, Rui Song

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Multi-Objective Reinforcement Learning for Infectious Disease Control with Application to COVID-19 Spread.

Runzhe Wan, Xinyu Zhang, Rui Song

CoRR, 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

Proceedings of the 37th International Conference on Machine Learning, 2020