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2020 – today
- 2024
[i13]Hengrui Cai, Shengjie Liu, Rui Song:
Is Knowledge All Large Language Models Needed for Causal Reasoning? CoRR abs/2401.00139 (2024)- [i12]Hengrui Cai, Huaqing Jin, Lexin Li:
Conformal Diffusion Models for Individual Treatment Effect Estimation and Inference. CoRR abs/2408.01582 (2024) - [i11]Wenbo Zhang, Zihang Xu, Hengrui Cai:
Defining Boundaries: A Spectrum of Task Feasibility for Large Language Models. CoRR abs/2408.05873 (2024) - 2023
- [j1]Hengrui Cai, Chengchun Shi, Rui Song, Wenbin Lu:
Jump Interval-Learning for Individualized Decision Making with Continuous Treatments. J. Mach. Learn. Res. 24: 140:1-140:92 (2023) - [c6]Richard A. Watson, Hengrui Cai, Xinming An, Samuel A. McLean, Rui Song:
On Heterogeneous Treatment Effects in Heterogeneous Causal Graphs. ICML 2023: 36714-36747 - [c5]Wenbo Zhang, Tong Wu, Yunlong Wang, Yong Cai, Hengrui Cai:
Towards Trustworthy Explanation: On Causal Rationalization. ICML 2023: 41715-41736 - [c4]Hengrui Cai, Yixin Wang, Michael I. Jordan, Rui Song:
On Learning Necessary and Sufficient Causal Graphs. NeurIPS 2023 - [i10]Richard A. Watson, Hengrui Cai, Xinming An, Samuel A. McLean, Rui Song:
On Heterogeneous Treatment Effects in Heterogeneous Causal Graphs. CoRR abs/2301.12383 (2023) - [i9]Hengrui Cai, Yixin Wang, Michael I. Jordan, Rui Song:
On Learning Necessary and Sufficient Causal Graphs. CoRR abs/2301.12389 (2023) - [i8]Tao Ma, Hengrui Cai, Zhengling Qi, Chengchun Shi, Eric B. Laber:
Sequential Knockoffs for Variable Selection in Reinforcement Learning. CoRR abs/2303.14281 (2023) - [i7]Wenbo Zhang, Tong Wu, Yunlong Wang, Yong Cai, Hengrui Cai:
Towards Trustworthy Explanation: On Causal Rationalization. CoRR abs/2306.14115 (2023) - 2022
- [i6]Ye Shen, Runzhe Wan, Hengrui Cai, Rui Song:
Heterogeneous Synthetic Learner for Panel Data. CoRR abs/2212.14580 (2022) - 2021
- [c3]Hengrui Cai, Rui Song, Wenbin Lu:
ANOCE: Analysis of Causal Effects with Multiple Mediators via Constrained Structural Learning. ICLR 2021 - [c2]Hengrui Cai, Chengchun Shi, Rui Song, Wenbin Lu:
Deep Jump Learning for Off-Policy Evaluation in Continuous Treatment Settings. NeurIPS 2021: 15285-15300 - [i5]Hengrui Cai, Zhihao Cen, Ling Leng, Rui Song:
Periodic-GP: Learning Periodic World with Gaussian Process Bandits. CoRR abs/2105.14422 (2021) - [i4]Hengrui Cai, Wenbin Lu, Rachel Marceau West, Devan V. Mehrotra, Lingkang Huang:
CAPITAL: Optimal Subgroup Identification via Constrained Policy Tree Search. CoRR abs/2110.05636 (2021) - [i3]Hengrui Cai, Ye Shen, Rui Song:
Doubly Robust Interval Estimation for Optimal Policy Evaluation in Online Learning. CoRR abs/2110.15501 (2021) - [i2]Hengrui Cai, Chengchun Shi, Rui Song, Wenbin Lu:
Jump Interval-Learning for Individualized Decision Making. CoRR abs/2111.08885 (2021) - 2020
- [c1]Hengrui Cai, Wenbin Lu, Rui Song:
On Validation and Planning of An Optimal Decision Rule with Application in Healthcare Studies. ICML 2020: 1262-1270 - [i1]Hengrui Cai, Chengchun Shi, Rui Song, Wenbin Lu:
Deep Jump Q-Evaluation for Offline Policy Evaluation in Continuous Action Space. CoRR abs/2010.15963 (2020)
Coauthor Index
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