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Items where Author is "Luo, Shikai"

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Number of items: 10.


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

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

Zhang, Yingying, Shi, Chengchun and Luo, Shikai (2023) Conformal off-policy prediction. Proceedings of Machine Learning Research, 206. pp. 2751-2768. ISSN 2640-3498

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

Book Section

Zhu, Jin, Wan, Runzhe, Qi, Zhengling, Luo, Shikai and Shi, Chengchun (2024) Robust offline reinforcement learning with heavy-tailed rewards. In: Proceedings of the 27th International Conference on Artificial Intelligence and Statistics (AISTATS) 2024. International Conference on Machine Learning, Valencia, Spain. (In Press)

Conference or Workshop Item

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.

Wan, Runzhe, Zhang, Sheng, Shi, Chengchun, Luo, Shikai and Song, Rui (2021) Pattern transfer learning for reinforcement learning in order dispatching. In: International Joint Conference on Artificial Intelligence, 2021-08-19 - 2021-08-26. (In Press)

This list was generated on Thu May 23 11:02:01 2024 BST.