Items where Author is "Lu, Wenbin"

Item Type No Grouping

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

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

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

Statistical inference of the value function for reinforcement learning in infinite-horizon settings. Shi, Chengchun; Zhang, Shengxing; Lu, Wenbin; Song, Rui picture_as_pdf