Chengchun Shi
24 papers · 2019–2026 · 5 venues · across top CS/AI venues
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Research topics
Machine Learning
(19)
Reinforcement Learning
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Artificial Intelligence
(12)
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(12)
Optimization & Theory
(12)
Core AI
(10)
Methods
(10)
Mathematics & Optimization
(5)
Application Areas
(4)
Core Methods
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Deep Learning
(3)
Healthcare & Medicine
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Applications
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Clinical
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Mathematics
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Keywords
off-policy evaluation
(10)
causal inference
(9)
sequential decision making
(4)
reinforcement learning
(4)
offline reinforcement learning
(3)
change point detection
(2)
heavy-tailed reward
(2)
statistical testing
(2)
treatment effect
(2)
confidence interval
(2)
a/b testing
(2)
variance reduction
(2)
markov decision process
(2)
partially observable mdp
(2)
importance sampling
(2)
mean squared error
(2)
continuous treatment
(2)
relational learning
(1)
bayesian reinforcement learning
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bayesian learning
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Papers
A Difference-in-Difference Approach to Detecting AI-Generated Images
CVPR 2026
Balancing Interference and Correlation in Spatial Experimental Designs: A Causal Graph Cut Approach
ICML 2025
Demystifying the Paradox of Importance Sampling with an Estimated History-Dependent Behavior Policy in Off-Policy Evaluation
ICML 2025
Log-Sum-Exponential Estimator for Off-Policy Evaluation and Learning
ICML 2025
Unraveling the Interplay between Carryover Effects and Reward Autocorrelations in Switchback Experiments
ICML 2025
Combining Experimental and Historical Data for Policy Evaluation
ICML 2024
Robust Offline Reinforcement Learning with Heavy-Tailed Rewards
AISTATS 2024
Two-way Deconfounder for Off-policy Evaluation in Causal Reinforcement Learning
NeurIPS 2024
An Instrumental Variable Approach to Confounded Off-Policy Evaluation
ICML 2023
A Reinforcement Learning Framework for Dynamic Mediation Analysis
ICML 2023
A Robust Test for the Stationarity Assumption in Sequential Decision Making
ICML 2023
Conformal Off-Policy Prediction
AISTATS 2023
Future-Dependent Value-Based Off-Policy Evaluation in POMDPs
NeurIPS 2023
Jump Interval-Learning for Individualized Decision Making with Continuous Treatments
JMLR 2023
Optimal Treatment Allocation for Efficient Policy Evaluation in Sequential Decision Making
NeurIPS 2023
Optimizing Pessimism in Dynamic Treatment Regimes: A Bayesian Learning Approach
AISTATS 2023
A Minimax Learning Approach to Off-Policy Evaluation in Confounded Partially Observable Markov Decision Processes
ICML 2022
An Online Sequential Test for Qualitative Treatment Effects
JMLR 2021
Deep Jump Learning for Off-Policy Evaluation in Continuous Treatment Settings
NeurIPS 2021
Deeply-Debiased Off-Policy Interval Estimation
ICML 2021
Double Generative Adversarial Networks for Conditional Independence Testing
JMLR 2021
Breaking the Curse of Nonregularity with Subagging --- Inference of the Mean Outcome under Optimal Treatment Regimes
JMLR 2020
Does the Markov Decision Process Fit the Data: Testing for the Markov Property in Sequential Decision Making
ICML 2020
Determining the Number of Latent Factors in Statistical Multi-Relational Learning
JMLR 2019