Chengchun Shi
Orcid: 0000-0001-7773-2099
According to our database1,
Chengchun Shi
authored at least 48 papers
between 2019 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
CoRR, 2024
Causal Deepsets for Off-policy Evaluation under Spatial or Spatio-temporal Interferences.
CoRR, 2024
Pessimistic Causal Reinforcement Learning with Mediators for Confounded Offline Data.
CoRR, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024
2023
Jump Interval-Learning for Individualized Decision Making with Continuous Treatments.
J. Mach. Learn. Res., 2023
CoRR, 2023
Testing for the Markov Property in Time Series via Deep Conditional Generative Learning.
CoRR, 2023
Evaluating Dynamic Conditional Quantile Treatment Effects with Applications in Ridesharing.
CoRR, 2023
Value Enhancement of Reinforcement Learning via Efficient and Robust Trust Region Optimization.
CoRR, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Optimal Treatment Allocation for Efficient Policy Evaluation in Sequential Decision Making.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the International Conference on Machine Learning, 2023
A generalized method for dynamic noise inference in modeling sequential decision-making.
Proceedings of the 45th Annual Meeting of the Cognitive Science Society, 2023
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023
2022
CoRR, 2022
Statistically Efficient Advantage Learning for Offline Reinforcement Learning in Infinite Horizons.
CoRR, 2022
Policy Evaluation for Temporal and/or Spatial Dependent Experiments in Ride-sourcing Platforms.
CoRR, 2022
CoRR, 2022
A Multi-Agent Reinforcement Learning Framework for Off-Policy Evaluation in Two-sided Markets.
CoRR, 2022
A Minimax Learning Approach to Off-Policy Evaluation in Confounded Partially Observable Markov Decision Processes.
Proceedings of the International Conference on Machine Learning, 2022
2021
J. Mach. Learn. Res., 2021
J. Mach. Learn. Res., 2021
A Minimax Learning Approach to Off-Policy Evaluation in Partially Observable Markov Decision Processes.
CoRR, 2021
Testing Directed Acyclic Graph via Structural, Supervised and Generative Adversarial Learning.
CoRR, 2021
CoRR, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
2020
Breaking the Curse of Nonregularity with Subagging - Inference of the Mean Outcome under Optimal Treatment Regimes.
J. Mach. Learn. Res., 2020
CoRR, 2020
A Reinforcement Learning Framework for Time-Dependent Causal Effects Evaluation in A/B Testing.
CoRR, 2020
Statistical Inference of the Value Function for Reinforcement Learning in Infinite Horizon Settings.
CoRR, 2020
Does the Markov Decision Process Fit the Data: Testing for the Markov Property in Sequential Decision Making.
Proceedings of the 37th International Conference on Machine Learning, 2020
2019
J. Mach. Learn. Res., 2019