Items where Author is "Song, Rui"

Number of items: 24.
  • Deep spectral Q-learning with application to mobile health. (2023) Gao, Yuhe; Shi, Chengchun; Song, Rui picture_as_pdf
  • An instrumental variable approach to confounded off-policy evaluation. (2023) Xu, Yang; Zhu, Jin; Shi, Chengchun; Luo, Shikai; Song, Rui picture_as_pdf
  • A reinforcement learning framework for dynamic mediation analysis. (2023) Ge, Lin; Wang, Jitao; Shi, Chengchun; Wu, Zhenke; Song, Rui picture_as_pdf
  • Jump interval-learning for individualized decision making with continuous treatments. (2023) Cai, Hengrui; Shi, Chengchun; Song, Rui; Lu, Wenbin picture_as_pdf
  • Deep jump learning for off-policy evaluation in continuous treatment settings. (2021) Cai, Hengrui; Shi, Chengchun; Song, Rui; Lu, Wenbin picture_as_pdf
  • An online sequential test for qualitative treatment effects. (2021) Shi, Chengchun; Luo, Shikai; Zhu, Hongtu; Song, Rui picture_as_pdf
  • Pattern transfer learning for reinforcement learning in order dispatching. (2021) Wan, Runzhe; Zhang, Sheng; Shi, Chengchun; Luo, Shikai; Song, Rui picture_as_pdf
  • Deeply-debiased off-policy interval estimation. (2021) Shi, Chengchun; Wan, Runzhe; Chernozhukov, Victor; Song, Rui picture_as_pdf
  • Does the Markov decision process fit the data:testing for the Markov property in sequential decision making. (2020) Shi, Chengchun; Wan, Runzhe; Song, Rui; Lu, Wenbin; Leng, Ling picture_as_pdf
  • Statistical inference for high-dimensional models via recursive online-score estimation. (2020) Shi, Chengchun; Song, Rui; Lu, Wenbin; Li, Runzi picture_as_pdf
  • Linear hypothesis testing for high dimensional generalized linear models. (2019) Shi, Chengchun; Song, Rui; Chen, Zhao; Li, Runze picture_as_pdf
  • On testing conditional qualitative treatment effects. (2019) Shi, Chengchun; Song, Rui; Lu, Wenbin picture_as_pdf
  • A sparse random projection-based test for overall qualitative treatment effects. (2019) Shi, Chengchun; Lu, Wenbin; Song, Rui picture_as_pdf
  • Determining the number of latent factors in statistical multi-relational learning. (2019) Shi, Chengchun; Lu, Wenbin; Song, Rui picture_as_pdf
  • A massive data framework for M-estimators with cubic-rate. (2018) Shi, Chengchun; Lu, Wenbin; Song, Rui picture_as_pdf
  • Maximin projection learning for optimal treatment decision with heterogeneous individualized treatment effects. (2018) Shi, Chengchun; Song, Rui; Lu, Wenbin; Fu, Bo picture_as_pdf
  • High-dimensional A-learning for optimal dynamic treatment regimes. (2018) Shi, Chengchun; Fan, Ailin; Song, Rui; Lu, Wenbin picture_as_pdf
  • Robust learning for optimal treatment decision with NP-dimensionality. (2016) Shi, Chengchun; Song, Rui; Lu, Wenbin picture_as_pdf
  • Breaking the curse of nonregularity with subagging:inference of the mean outcome under optimal treatment regimes. Shi, Chengchun; Lu, Wenbin; Song, Rui picture_as_pdf
  • Dynamic causal effects evaluation in A/B testing with a reinforcement learning framework. Shi, Chengchun; Wang, Xiaoyu; Luo, Shikai; Zhu, Hongtu; Ye, Jieping; Song, Rui picture_as_pdf
  • Off-policy confidence interval estimation with confounded Markov decision process. Shi, Chengchun; Zhu, Jin; Shen, Ye; Luo, Shikai; Zhu, Hongtu; Song, Rui picture_as_pdf
  • Statistical inference of the value function for reinforcement learning in infinite-horizon settings. Shi, Chengchun; Zhang, Shengxing; Lu, Wenbin; Song, Rui picture_as_pdf
  • Statistically efficient advantage learning for offline reinforcement learning in infinite horizons. Shi, Chengchun; Luo, Shikai; Le, Yuan; Zhu, Hongtu; Song, Rui picture_as_pdf
  • A multiagent reinforcement learning framework for off-policy evaluation in two-sided markets. Shi, Chengchun; Wan, Runzhe; Song, Ge; Luo, Shikai; Zhu, Hongtu; Song, Rui picture_as_pdf