Chengchun Shi

31 catalog papers. Identity-linked publications and additional name matches are distinguished below.

ORCID: 0000-0001-7773-2099

Department of Statistics, London School of Economics and Political Science, UK

Publications

• Testing stationarity and change point detection in reinforcement learning — The Annals of Statistics 2025
• Multivariate dynamic mediation analysis under a reinforcement learning framework — The Annals of Statistics 2025
• Off-Policy Evaluation in Doubly Inhomogeneous Environments — Journal of the American Statistical Association 2025
• Evaluating Dynamic Conditional Quantile Treatment Effects with Applications in Ridesharing — Journal of the American Statistical Association 2024
• Policy evaluation for temporal and/or spatial dependent experiments — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2024
• Off-Policy Confidence Interval Estimation with Confounded Markov Decision Process — Journal of the American Statistical Association 2024
• Statistically Efficient Advantage Learning for Offline Reinforcement Learning in Infinite Horizons — Journal of the American Statistical Association 2024
• Testing Directed Acyclic Graph via Structural, Supervised and Generative Adversarial Learning — Journal of the American Statistical Association 2024
• Value Enhancement of Reinforcement Learning via Efficient and Robust Trust Region Optimization — Journal of the American Statistical Association 2024 (name-matched, not ORCID-linked)
• Testing for the Markov property in time series via deep conditional generative learning — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2023
• Dynamic Causal Effects Evaluation in A/B Testing with a Reinforcement Learning Framework — Journal of the American Statistical Association 2023
• Jump Interval-Learning for Individualized Decision Making with Continuous Treatments — Journal of Machine Learning Research 2023 (name-matched, not ORCID-linked)
• A multiagent reinforcement learning framework for off-policy evaluation in two-sided markets — The Annals of Applied Statistics 2023
• Statistical inference of the value function for reinforcement learning in infinite-horizon settings — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2022
• Testing Mediation Effects Using Logic of Boolean Matrices — Journal of the American Statistical Association 2022
• Double Generative Adversarial Networks for Conditional Independence Testing — Journal of Machine Learning Research 2021 (name-matched, not ORCID-linked)
• Statistical Inference for High-Dimensional Models via Recursive Online-Score Estimation — Journal of the American Statistical Association 2021
• An Online Sequential Test for Qualitative Treatment Effects — Journal of Machine Learning Research 2021 (name-matched, not ORCID-linked)
• Concordance and value information criteria for optimal treatment decision — The Annals of Statistics 2021
• A Sparse Random Projection-Based Test for Overall Qualitative Treatment Effects — Journal of the American Statistical Association 2020
• Breaking the Curse of Nonregularity with Subagging --- Inference of the Mean Outcome under Optimal Treatment Regimes — Journal of Machine Learning Research 2020 (name-matched, not ORCID-linked)
• On testing conditional qualitative treatment effects — The Annals of Statistics 2019
• Linear hypothesis testing for high dimensional generalized linear models — The Annals of Statistics 2019
• Determining the Number of Latent Factors in Statistical Multi-Relational Learning — Journal of Machine Learning Research 2019 (name-matched, not ORCID-linked)
• A Massive Data Framework for M-Estimators with Cubic-Rate — Journal of the American Statistical Association 2018
• High-dimensional $A$-learning for optimal dynamic treatment regimes — The Annals of Statistics 2018
• Maximin projection learning for optimal treatment decision with heterogeneous individualized treatment effects — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2018
• ARMA-Design: Optimal Treatment Allocation Strategies for A/B Testing in Partially Observable Experiments — Journal of the American Statistical Association
• Sequential Knockoffs for Variable Selection in Reinforcement Learning — Journal of the American Statistical Association
• Semi-pessimistic Reinforcement Learning — Journal of the American Statistical Association
• Blessing from Human-AI Interaction: Super Policy Learning in Confounded Environments — Journal of the American Statistical Association (name-matched, not ORCID-linked)