Shi, Chengchun

29 publications

NeurIPS 2025 AdaDetectGPT: Adaptive Detection of LLM-Generated Text with Statistical Guarantees Hongyi Zhou, Jin Zhu, Pingfan Su, Kai Ye, Ying Yang, Shakeel Gavioli-Akilagun, Chengchun Shi

ICML 2025 Balancing Interference and Correlation in Spatial Experimental Designs: A Causal Graph Cut Approach Jin Zhu, Jingyi Li, Hongyi Zhou, Yinan Lin, Zhenhua Lin, Chengchun Shi

NeurIPS 2025 Beyond Average Value Function in Precision Medicine: Maximum Probability-Driven Reinforcement Learning for Survival Analysis Jianqi Feng, Chengchun Shi, Zhenke Wu, Xiaodong Yan, Wei Zhao

ICML 2025 Demystifying the Paradox of Importance Sampling with an Estimated History-Dependent Behavior Policy in Off-Policy Evaluation Hongyi Zhou, Josiah P. Hanna, Jin Zhu, Ying Yang, Chengchun Shi

NeurIPS 2025 Doubly Robust Alignment for Large Language Models Erhan Xu, Kai Ye, Hongyi Zhou, Luhan Zhu, Francesco Quinzan, Chengchun Shi

TMLR 2025 Doubly Robust Uncertainty Quantification for Quantile Treatment Effects in Sequential Decision Making Yang Xu, Chengchun Shi, Shikai Luo, Lan Wang, Rui Song

ICML 2025 Log-Sum-Exponential Estimator for Off-Policy Evaluation and Learning Armin Behnamnia, Gholamali Aminian, Alireza Aghaei, Chengchun Shi, Vincent Tan, Hamid R. Rabiee

NeurIPS 2025 Pessimistic Data Integration for Policy Evaluation Xiangkun Wu, Ting Li, Gholamali Aminian, Armin Behnamnia, Hamid R. Rabiee, Chengchun Shi

ICML 2025 Unraveling the Interplay Between Carryover Effects and Reward Autocorrelations in Switchback Experiments Qianglin Wen, Chengchun Shi, Ying Yang, Niansheng Tang, Hongtu Zhu

ICMLW 2024 Batch Learning via Log-Sum-Exponential Estimator from Logged Bandit Feedback Armin Behnamnia, Gholamali Aminian, Alireza Aghaei, Chengchun Shi, Vincent Y. F. Tan, Hamid R. Rabiee

ICML 2024 Combining Experimental and Historical Data for Policy Evaluation Ting Li, Chengchun Shi, Qianglin Wen, Yang Sui, Yongli Qin, Chunbo Lai, Hongtu Zhu

AISTATS 2024 Robust Offline Reinforcement Learning with Heavy-Tailed Rewards Jin Zhu, Runzhe Wan, Zhengling Qi, Shikai Luo, Chengchun Shi

NeurIPS 2024 Two-Way Deconfounder for Off-Policy Evaluation in Causal Reinforcement Learning Shuguang Yu, Shuxing Fang, Ruixin Peng, Zhengling Qi, Fan Zhou, Chengchun Shi

ICML 2023 A Reinforcement Learning Framework for Dynamic Mediation Analysis Lin Ge, Jitao Wang, Chengchun Shi, Zhenke Wu, Rui Song

ICML 2023 A Robust Test for the Stationarity Assumption in Sequential Decision Making Jitao Wang, Chengchun Shi, Zhenke Wu

ICML 2023 An Instrumental Variable Approach to Confounded Off-Policy Evaluation Yang Xu, Jin Zhu, Chengchun Shi, Shikai Luo, Rui Song

AISTATS 2023 Conformal Off-Policy Prediction Yingying Zhang, Chengchun Shi, Shikai Luo

NeurIPS 2023 Future-Dependent Value-Based Off-Policy Evaluation in POMDPs Masatoshi Uehara, Haruka Kiyohara, Andrew Bennett, Victor Chernozhukov, Nan Jiang, Nathan Kallus, Chengchun Shi, Wen Sun

JMLR 2023 Jump Interval-Learning for Individualized Decision Making with Continuous Treatments Hengrui Cai, Chengchun Shi, Rui Song, Wenbin Lu

NeurIPS 2023 Optimal Treatment Allocation for Efficient Policy Evaluation in Sequential Decision Making Ting Li, Chengchun Shi, Jianing Wang, Fan Zhou, Hongtu Zhu

AISTATS 2023 Optimizing Pessimism in Dynamic Treatment Regimes: A Bayesian Learning Approach Yunzhe Zhou, Zhengling Qi, Chengchun Shi, Lexin Li

ICML 2022 A Minimax Learning Approach to Off-Policy Evaluation in Confounded Partially Observable Markov Decision Processes Chengchun Shi, Masatoshi Uehara, Jiawei Huang, Nan Jiang

JMLR 2021 An Online Sequential Test for Qualitative Treatment Effects Chengchun Shi, Shikai Luo, Hongtu Zhu, Rui Song

NeurIPS 2021 Deep Jump Learning for Off-Policy Evaluation in Continuous Treatment Settings Hengrui Cai, Chengchun Shi, Rui Song, Wenbin Lu

ICML 2021 Deeply-Debiased Off-Policy Interval Estimation Chengchun Shi, Runzhe Wan, Victor Chernozhukov, Rui Song

JMLR 2021 Double Generative Adversarial Networks for Conditional Independence Testing Chengchun Shi, Tianlin Xu, Wicher Bergsma, Lexin Li

JMLR 2020 Breaking the Curse of Nonregularity with Subagging --- Inference of the Mean Outcome Under Optimal Treatment Regimes Chengchun Shi, Wenbin Lu, Rui Song

ICML 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

JMLR 2019 Determining the Number of Latent Factors in Statistical Multi-Relational Learning Chengchun Shi, Wenbin Lu, Rui Song