Proximal Learning for Individualized Treatment Regimes Under Unmeasured Confounding

3 May 2021

Papers citing "Proximal Learning for Individualized Treatment Regimes Under Unmeasured Confounding"

10 / 10 papers shown

Title
Reinforcement Learning with Continuous Actions Under Unmeasured Confounding Yuhan Li Eugene Han Yifan Hu Wenzhuo Zhou Zhengling Qi Yifan Cui Ruoqing Zhu OffRL 162 0 0 01 May 2025
Testing for Causal Fairness Jiarun Fu LiZhong Ding Pengqi Li Qiuning Wei Yurong Cheng Xu Chen 51 0 0 18 Feb 2025
A Semiparametric Instrumented Difference-in-Differences Approach to Policy Learning Pan Zhao Yifan Cui CML 34 1 0 14 Oct 2023
Doubly Robust Proximal Causal Learning for Continuous Treatments Yong Wu Yanwei Fu Shouyan Wang Xinwei Sun 26 1 0 22 Sep 2023
Proximal Causal Learning of Conditional Average Treatment Effects Erik Sverdrup Yifan Cui CML 28 4 0 26 Jan 2023
Optimal Treatment Regimes for Proximal Causal Learning Tao Shen Yifan Cui CML 38 3 0 19 Dec 2022
RISE: Robust Individualized Decision Learning with Sensitive Variables Xiaoqing Ellen Tan Zhengling Qi C. Seymour Lu Tang OffRL 26 8 0 12 Nov 2022
Inference on Strongly Identified Functionals of Weakly Identified Functions Andrew Bennett Nathan Kallus Xiaojie Mao Whitney Newey Vasilis Syrgkanis Masatoshi Uehara 35 15 0 17 Aug 2022
Proximal Causal Inference for Marginal Counterfactual Survival Curves Andrew Ying Yifan Cui E. T. Tchetgen 39 10 0 27 Apr 2022
Optimal regimes for algorithm-assisted human decision-making M. Stensrud Julien David Laurendeau Aaron L Sarvet 24 12 0 06 Mar 2022