Items where Author is "Shi, Chengchun"

Article

Cai, Hengrui, Shi, Chengchun, Song, Rui and Lu, Wenbin (2023) Jump interval-learning for individualized decision making with continuous treatments. Journal of Machine Learning Research. ISSN 1532-4435 (In Press)

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

Zhou, Yunzhe, Qi, Zhengling, Shi, Chengchun and Li, Lexin (2023) Optimizing pessimism in dynamic treatment regimes: a Bayesian learning approach. Proceedings of Machine Learning Research, 206. ISSN 1938-7228 (In Press)

Li, Lexin, Shi, Chengchun, Guo, Tengfei and Jagust, William J. (2022) Sequential pathway inference for multimodal neuroimaging analysis. Stat, 11 (1). ISSN 2049-1573

Shi, Chengchun, Wan, Runzhe, Song, Ge, Luo, Shikai, Zhu, Hongtu and Song, Rui (2022) A multi-agent reinforcement learning framework for off-policy evaluation in two-sided markets. Annals of Applied Statistics. ISSN 1932-6157 (In Press)

Shi, Chengchun and Li, Lexin (2022) Testing mediation effects using logic of Boolean matrices. Journal of the American Statistical Association, 117 (540). 2014 - 2027. ISSN 0162-1459

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, Zhang, Shengxing ORCID: 0000-0002-1475-2188, Lu, Wenbin and Song, Rui (2022) Statistical inference of the value function for reinforcement learning in infinite-horizon settings. Journal of the Royal Statistical Society. Series B: Statistical Methodology, 84 (3). 765 - 793. ISSN 1369-7412

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, Xu, Tianlin, Bergsma, Wicher and Li, Lexin (2021) Double generative adversarial networks for conditional independence testing. Journal of Machine Learning Research. ISSN 1532-4435

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

Shi, Chengchun, Song, R and Lu, W (2021) Concordance and value information criteria for optimal treatment decision. Annals of Statistics, 49 (1). 49 - 75. ISSN 0090-5364

Shi, Chengchun, Song, Rui, Lu, Wenbin and Li, Runzi (2020) Statistical inference for high-dimensional models via recursive online-score estimation. Journal of the American Statistical Association. ISSN 0162-1459

Shi, Chengchun, Lu, Wenbin and Song, Rui (2020) Breaking the curse of nonregularity with subagging: inference of the mean outcome under optimal treatment regimes. Journal of Machine Learning Research, 21. ISSN 1532-4435

Shi, Chengchun, Song, Rui, Chen, Zhao and Li, Runze (2019) Linear hypothesis testing for high dimensional generalized linear models. Annals of Statistics, 47 (5). 2671 - 2703. ISSN 0090-5364

Shi, Chengchun, Song, Rui and Lu, Wenbin (2019) On testing conditional qualitative treatment effects. Annals of Statistics, 47 (4). 2348 - 2377. ISSN 0090-5364

Shi, Chengchun, Lu, Wenbin and Song, Rui (2019) A sparse random projection-based test for overall qualitative treatment effects. Journal of the American Statistical Association. ISSN 0162-1459

Shi, Chengchun, Lu, Wenbin and Song, Rui (2019) Determining the number of latent factors in statistical multi-relational learning. Journal of Machine Learning Research, 20. 1 - 38. ISSN 1532-4435

Shi, Chengchun, Lu, Wenbin and Song, Rui (2018) A massive data framework for M-estimators with cubic-rate. Journal of the American Statistical Association, 113 (524). 1698 - 1709. ISSN 0162-1459

Shi, Chengchun, Song, Rui, Lu, Wenbin and Fu, Bo (2018) Maximin projection learning for optimal treatment decision with heterogeneous individualized treatment effects. Journal of the Royal Statistical Society. Series B: Statistical Methodology, 80 (4). 681 - 702. ISSN 1369-7412

Shi, Chengchun, Fan, Ailin, Song, Rui and Lu, Wenbin (2018) High-dimensional A-learning for optimal dynamic treatment regimes. Annals of Statistics, 46 (3). 925 - 957. ISSN 0090-5364

Shi, Chengchun, Song, Rui and Lu, Wenbin (2016) Robust learning for optimal treatment decision with NP-dimensionality. Electronic Journal of Statistics, 10 (2). 2894 - 2921. ISSN 1935-7524

Zhang, Peng, Qiu, Zhenguo and Shi, Chengchun (2016) simplexreg: an R package for regression analysis of proportional data using the simplex distribution. Journal of Statistical Software, 71 (11). ISSN 1548-7660

Book Section

Shi, Chengchun, Uehara, Masatoshi, Uehara, Masatoshi, Huang, Jiawei and Jiang, Nan (2022) A minimax learning approach to off-policy evaluation in confounded Partially Observable Markov Decision Processes. In: Proceedings of the 39th International Conference on Machine Learning. International Conference on Machine Learning. (In Press)

Cai, Hengrui, Shi, Chengchun, Song, Rui and Lu, Wenbin (2021) Deep jump learning for off-policy evaluation in continuous treatment settings. In: Proceedings of the 35th Conference on Neural Information Processing Systems. UNSPECIFIED. (In Press)

Conference or Workshop Item

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)

Shi, Chengchun, Wan, Runzhe, Chernozhukov, Victor and Song, Rui (2021) Deeply-debiased off-policy interval estimation. In: International Conference on Machine Learning, 2021-07-18 - 2021-07-24, Online. (In Press)

Shi, Chengchun, Wan, Runzhe, Song, Rui, Lu, Wenbin and Leng, Ling (2020) Does the Markov decision process fit the data: testing for the Markov property in sequential decision making. In: International Conference on Machine Learning, 2020-07-12 - 2020-07-18, Online. (In Press)