Hengrui Cai

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 18

Top Topics

Online Learning

Policy Evaluation

Top Venues

J. Mach. Learn. Res.

Publications

Hengrui Cai, Shengjie Liu, Rui Song
Is Knowledge All Large Language Models Needed for Causal Reasoning? CoRR (2024)
Richard A. Watson, Hengrui Cai, Xinming An, Samuel A. McLean, Rui Song
On Heterogeneous Treatment Effects in Heterogeneous Causal Graphs. ICML (2023)
Tao Ma, Hengrui Cai, Zhengling Qi, Chengchun Shi, Eric B. Laber
Sequential Knockoffs for Variable Selection in Reinforcement Learning. CoRR (2023)
Wenbo Zhang, Tong Wu, Yunlong Wang, Yong Cai, Hengrui Cai
Towards Trustworthy Explanation: On Causal Rationalization. ICML (2023)
Hengrui Cai, Chengchun Shi, Rui Song, Wenbin Lu
Jump Interval-Learning for Individualized Decision Making with Continuous Treatments. J. Mach. Learn. Res. 24 (2023)
Hengrui Cai, Yixin Wang, Michael I. Jordan, Rui Song
On Learning Necessary and Sufficient Causal Graphs. NeurIPS (2023)
Hengrui Cai, Yixin Wang, Michael I. Jordan, Rui Song
On Learning Necessary and Sufficient Causal Graphs. CoRR (2023)
Richard A Watson, Hengrui Cai, Xinming An, Samuel A. McLean, Rui Song
On Heterogeneous Treatment Effects in Heterogeneous Causal Graphs. CoRR (2023)
Wenbo Zhang, Tong Wu, Yunlong Wang, Yong Cai, Hengrui Cai
Towards Trustworthy Explanation: On Causal Rationalization. CoRR (2023)
Ye Shen, Runzhe Wan, Hengrui Cai, Rui Song
Heterogeneous Synthetic Learner for Panel Data. CoRR (2022)
Hengrui Cai, Rui Song, Wenbin Lu
ANOCE: Analysis of Causal Effects with Multiple Mediators via Constrained Structural Learning. ICLR (2021)
Hengrui Cai, Chengchun Shi, Rui Song, Wenbin Lu
Deep Jump Learning for Off-Policy Evaluation in Continuous Treatment Settings. NeurIPS (2021)
Hengrui Cai, Wenbin Lu, Rachel Marceau West, Devan V. Mehrotra, Lingkang Huang
CAPITAL: Optimal Subgroup Identification via Constrained Policy Tree Search. CoRR (2021)
Hengrui Cai, Chengchun Shi, Rui Song, Wenbin Lu
Jump Interval-Learning for Individualized Decision Making. CoRR (2021)
Hengrui Cai, Ye Shen, Rui Song
Doubly Robust Interval Estimation for Optimal Policy Evaluation in Online Learning. CoRR (2021)
Hengrui Cai, Zhihao Cen, Ling Leng, Rui Song
Periodic-GP: Learning Periodic World with Gaussian Process Bandits. CoRR (2021)
Hengrui Cai, Wenbin Lu, Rui Song
On Validation and Planning of An Optimal Decision Rule with Application in Healthcare Studies. ICML (2020)
Hengrui Cai, Chengchun Shi, Rui Song, Wenbin Lu
Deep Jump Q-Evaluation for Offline Policy Evaluation in Continuous Action Space. CoRR (2020)