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Luo, Shikai, Yang, Ying, Shi, Chengchun, Yao, Fang, Ye, Jieping and Zhu, Hongtu (2024) Policy evaluation for temporal and/or spatial dependent experiments. Journal of the Royal Statistical Society. Series B: Statistical Methodology. ISSN 1369-7412
Li, Ting, Shi, Chengchun, Lu, Zhaohua, Li, Yi and Zhu, Hongtu (2024) Evaluating dynamic conditional quantile treatment effects with applications in ridesharing. Journal of the American Statistical Association. ISSN 0162-1459
Shi, Chengchun, Wan, Runzhe, Song, Ge, Luo, Shikai, Zhu, Hongtu and Song, Rui (2023) A multiagent reinforcement learning framework for off-policy evaluation in two-sided markets. Annals of Applied Statistics, 17 (4). 2701 - 2722. ISSN 1932-6157
Shi, Chengchun, Zhu, Jin, Shen, Ye, Luo, Shikai, Zhu, Hongtu and Song, Rui (2022) Off-policy confidence interval estimation with confounded Markov decision process. Journal of the American Statistical Association. ISSN 0162-1459
Shi, Chengchun, Luo, Shikai, Le, Yuan, Zhu, Hongtu and Song, Rui (2022) Statistically efficient advantage learning for offline reinforcement learning in infinite horizons. Journal of the American Statistical Association. ISSN 0162-1459
Shi, Chengchun, Wang, Xiaoyu, Luo, Shikai, Zhu, Hongtu, Ye, Jieping and Song, Rui (2022) Dynamic causal effects evaluation in A/B testing with a reinforcement learning framework. Journal of the American Statistical Association. 1 - 13. ISSN 0162-1459
Shi, Chengchun, Luo, Shikai, Zhu, Hongtu and Song, Rui (2021) An online sequential test for qualitative treatment effects. Journal of Machine Learning Research, 22. ISSN 1532-4435
Li, Ting, Shi, Chengchun, Wang, Jianing, Zhou, Fan and Zhu, Hongtu (2023) Optimal treatment allocation for efficient policy evaluation in sequential decision making. In: Oh, A., Naumann, T., Globerson, A., Saenko, K., Hardt, M. and Levine, S., (eds.) Advances in Neural Information Processing Systems 36 (NeurIPS 2023). Neural Information Processing Systems Foundation.
Wu, Guojun, Song, Ge, Lv, Xiaoxiang, Luo, Shikai, Shi, Chengchun and Zhu, Hongtu (2023) DNet: distributional network for distributional individualized treatment effects. In: 2023 ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2023-08-06 - 2023-08-10, Long Beach, California, United States, USA.