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Adaptive Semi-Supervised Inference for Optimal Treatment Decisions with Electronic Medical Record Data


Mar 04, 2022
Kevin Gunn, Wenbin Lu, Rui Song


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On Learning and Testing of Counterfactual Fairness through Data Preprocessing


Feb 25, 2022
Haoyu Chen, Wenbin Lu, Rui Song, Pulak Ghosh


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Targeted Optimal Treatment Regime Learning Using Summary Statistics


Jan 17, 2022
Jianing Chu, Wenbin Lu, Shu Yang


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Jump Interval-Learning for Individualized Decision Making


Nov 17, 2021
Hengrui Cai, Chengchun Shi, Rui Song, Wenbin Lu


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A Probit Tensor Factorization Model For Relational Learning


Nov 09, 2021
Ye Liu, Rui Song, Wenbin Lu, Yanghua Xiao

* 30 pages 

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CAPITAL: Optimal Subgroup Identification via Constrained Policy Tree Search


Oct 11, 2021
Hengrui Cai, Wenbin Lu, Rachel Marceau West, Devan V. Mehrotra, Lingkang Huang


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GEAR: On Optimal Decision Making with Auxiliary Data


Apr 21, 2021
Hengrui Cai, Rui Song, Wenbin Lu


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Calibrated Optimal Decision Making with Multiple Data Sources and Limited Outcome


Apr 21, 2021
Hengrui Cai, Wenbin Lu, Rui Song


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Deep Jump Q-Evaluation for Offline Policy Evaluation in Continuous Action Space


Oct 29, 2020
Hengrui Cai, Chengchun Shi, Rui Song, Wenbin Lu


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