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Shi, Chengchun

  1. A Review of Off-Policy Evaluation in Reinforcement Learning
    2022/12/13 by Masatoshi Uehara, Chengchun Shi, Uehara, Masatoshi +3 · 1 voice · 10 citations
    Computer Science · #Reinforcement Learning in Robotics #cs.LG #math.ST #stat.ME #stat.ML
  2. Dynamic Causal Effects Evaluation in A/B Testing with a Reinforcement Learning Framework
    2020/02/05 by Chengchun Shi, Xiaoyu Wang, Shi, Chengchun +9 · 5 citations
    Biochemistry, Genetics and Molecular Biology · Immunology and Microbiology · Mathematics · #Biosimilars and Bioanalytical Methods #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Statistical Methods in Clinical Trials #Viral Infectious Diseases and Gene Expression in Insects
  3. Fin-R1: A Large Language Model for Financial Reasoning through Reinforcement Learning
    2025/03/20 by Zhaowei Liu, Liu, Zhaowei, Xin Dong Guo +19 · 19 citations
    Business, Management and Accounting · Computer Science · Decision Sciences · #Computation and Language (cs.CL) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Financial Distress and Bankruptcy Prediction #Stock Market Forecasting Methods
  4. Double Generative Adversarial Networks for Conditional Independence Testing
    2020/06/03 by Chengchun Shi, Tianlin Xu, Shi, Chengchun +5 · 3 citations
    Computer Science · #Bayesian Methods and Mixture Models #Blind Source Separation Techniques #Digital Media Forensic Detection #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms
  5. Conformal Off-policy Prediction
    2022/06/14 by Yingying Zhang, Zhang, Yingying, Chengchun Shi +3 · 3 citations
    Computer Science · Decision Sciences · #Data Stream Mining Techniques #Advanced Bandit Algorithms Research #Machine Learning and Data Classification
  6. An Instrumental Variable Approach to Confounded Off-Policy Evaluation
    2022/12/29 by Xu Yang, Xu, Yang, Zhu Jin +7 · 3 citations
    Mathematics · #Advanced Causal Inference Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Methodology (stat.ME)
  7. Testing for the Markov Property in Time Series via Deep Conditional Generative Learning
    2023/05/30 by Zhou, Yunzhe, Shi, Chengchun, Li, Lexin +1 · 3 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  8. Deeply-Debiased Off-Policy Interval Estimation
    2021/05/10 by Shi, Chengchun, Wan, Runzhe, Chernozhukov, Victor +1 · 2 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  9. A Minimax Learning Approach to Off-Policy Evaluation in Confounded Partially Observable Markov Decision Processes
    2021/11/12 by Shi, Chengchun, Uehara, Masatoshi, Huang, Jiawei +1 · 2 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  10. Testing Mediation Effects Using Logic of Boolean Matrices
    2020/05/10 by Chengchun Shi, Lexin Li, Shi, Chengchun +1 · 2 citations
    Mathematics · #FOS: Computer and information sciences #Methodology (stat.ME) #Statistical Methods and Bayesian Inference #Statistical Methods and Inference #Statistical Methods in Clinical Trials
  11. Future-Dependent Value-Based Off-Policy Evaluation in POMDPs
    2022/07/26 by Masatoshi Uehara, Haruka Kiyohara, Uehara, Masatoshi +13 · 2 citations
    Engineering · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Smart Grid Energy Management
  12. Policy Evaluation for Temporal and/or Spatial Dependent Experiments
    2022/02/22 by Shikai Luo, Luo, Shikai, Ying Yang +9 · 2 citations
    Economics, Econometrics and Finance · Mathematics · #Innovation Policy and R&D #Advanced Causal Inference Techniques #Health Systems, Economic Evaluations, Quality of Life
  13. Testing Stationarity and Change Point Detection in Reinforcement Learning
    2022/03/03 by Mengbing Li, Li, Mengbing, Chengchun Shi +5 · 2 citations
    Business, Management and Accounting · Decision Sciences · #FOS: Computer and information sciences #Innovation Diffusion and Forecasting #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Product Development and Customization
  14. Does the Markov Decision Process Fit the Data: Testing for the Markov Property in Sequential Decision Making
    2020/02/05 by Chengchun Shi, Shi, Chengchun, Runzhe Wan +7 · 1 citation
    Computer Science · Biochemistry, Genetics and Molecular Biology · Mathematics · #Reinforcement Learning in Robotics #Gene Regulatory Network Analysis #Advanced Causal Inference Techniques
  15. Dual Active Learning for Reinforcement Learning from Human Feedback
    2024/10/03 by Pangpang Liu, Chengchun Shi, Liu, Pangpang +3 · 2 citations
    Computer Science · #Evolutionary Algorithms and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics
  16. Off-Policy Confidence Interval Estimation with Confounded Markov Decision Process
    2022/02/22 by Shi, Chengchun, Zhu, Jin, Shen, Ye +3 · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  17. Statistically Efficient Advantage Learning for Offline Reinforcement Learning in Infinite Horizons
    2022/01/01 by Chengchun Shi, Shikai Luo, Shi, Chengchun +6 · 1 citation
    Decision Sciences · Engineering · #Advanced Bandit Algorithms Research #Smart Grid Energy Management #Advanced MIMO Systems Optimization
  18. Sequential Knockoffs for Variable Selection in Reinforcement Learning
    2023/03/24 by Ma, Tao, Zhu, Jin, Cai, Hengrui +4 · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  19. ARMA-Design: Optimal Treatment Allocation Strategies for A/B Testing in Partially Observable Time Series Experiments
    2024/08/09 by Ke Sun, Linglong Kong, Sun, Ke +5 · 2 citations
    Agricultural and Biological Sciences · Mathematics · #Econometrics (econ.EM) #FOS: Economics and business #Pesticide Residue Analysis and Safety #Statistical Methods in Clinical Trials
  20. Robust Offline Reinforcement learning with Heavy-Tailed Rewards
    2023/10/28 by Jin Zhu, Zhu, Jin, Runzhe Wan +7 · 1 citation
    Decision Sciences · Engineering · #Risk and Portfolio Optimization #Reservoir Engineering and Simulation Methods #Reliability and Maintenance Optimization
  21. Value Enhancement of Reinforcement Learning via Efficient and Robust Trust Region Optimization
    2023/01/05 by Shi, Chengchun, Qi, Zhengling, Wang, Jianing +1 · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  22. Counterfactually Fair Reinforcement Learning via Sequential Data Preprocessing
    2025/01/10 by Jitao Wang, Wang, Jitao, Chengchun Shi +9 · 3 citations
    Social Sciences · #Computers and Society (cs.CY) #Ethics and Social Impacts of AI #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Methodology (stat.ME)
  23. Evaluating Dynamic Conditional Quantile Treatment Effects with Applications in Ridesharing
    2023/05/17 by Li, Ting, Shi, Chengchun, Lu, Zhaohua +2 · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Methodology (stat.ME)
  24. Off-policy Evaluation in Doubly Inhomogeneous Environments
    2023/06/14 by Bian, Zeyu, Shi, Chengchun, Qi, Zhengling +1 · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Methodology (stat.ME)
  25. Optimal Treatment Allocation for Efficient Policy Evaluation in Sequential Decision Making
    2023/11/05 by Li, Ting, Shi, Chengchun, Wang, Jianing +2 · 1 citation
    #FOS: Computer and information sciences #Methodology (stat.ME)
  26. Unraveling the Interplay between Carryover Effects and Reward Autocorrelations in Switchback Experiments
    2024/03/26 by Qianglin Wen, Wen, Qianglin, Chengchun Shi +7 · 1 citation
    Computer Science · #Evolutionary Algorithms and Applications
  27. Combining Experimental and Historical Data for Policy Evaluation
    2024/06/01 by Li, Ting, Shi, Chengchun, Wen, Qianglin +4 · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Methodology (stat.ME)