Proximal Causal Inference for Complex Longitudinal Studies

Proximal Causal Inference for Complex Longitudinal Studies

15 September 2021

Papers citing "Proximal Causal Inference for Complex Longitudinal Studies"

15 / 15 papers shown

Title
Doubly Robust Proximal Causal Learning for Continuous Treatments Yong Wu Yanwei Fu Shouyan Wang Xinwei Sun 21 1 0 22 Sep 2023
Partial Identification of Causal Effects Using Proxy Variables AmirEmad Ghassami I. Shpitser E. T. Tchetgen CML 8 8 0 10 Apr 2023
A Unified Framework of Policy Learning for Contextual Bandit with Confounding Bias and Missing Observations Siyu Chen Yitan Wang Zhaoran Wang Zhuoran Yang OffRL 26 2 0 20 Mar 2023
Asymptotic Theory for Doubly Robust Estimators with Continuous-Time Nuisance Parameters Andrew Ying 6 1 0 13 Feb 2023
Proximal Causal Learning of Conditional Average Treatment Effects Erik Sverdrup Yifan Cui CML 16 4 0 26 Jan 2023
Optimal Treatment Regimes for Proximal Causal Learning Tao Shen Yifan Cui CML 18 3 0 19 Dec 2022
Off-Policy Evaluation for Episodic Partially Observable Markov Decision Processes under Non-Parametric Models Rui Miao Zhengling Qi Xiaoke Zhang OffRL 19 10 0 21 Sep 2022
Proximal Survival Analysis to Handle Dependent Right Censoring Andrew Ying 6 7 0 15 Aug 2022
Proximal Causal Inference for Marginal Counterfactual Survival Curves Andrew Ying Yifan Cui E. T. Tchetgen 23 10 0 27 Apr 2022
Partial Identification with Noisy Covariates: A Robust Optimization Approach Wenshuo Guo Mingzhang Yin Yixin Wang Michael I. Jordan 21 19 0 22 Feb 2022
Long-term Causal Inference Under Persistent Confounding via Data Combination Guido Imbens Nathan Kallus Xiaojie Mao Yuhao Wang CML 10 43 0 15 Feb 2022
A Minimax Learning Approach to Off-Policy Evaluation in Confounded Partially Observable Markov Decision Processes C. Shi Masatoshi Uehara Jiawei Huang Nan Jiang OffRL 4 22 0 12 Nov 2021
Proximal Reinforcement Learning: Efficient Off-Policy Evaluation in Partially Observed Markov Decision Processes Andrew Bennett Nathan Kallus OffRL 11 40 0 28 Oct 2021
The Proximal ID Algorithm I. Shpitser Zach Wood-Doughty E. T. Tchetgen CML 16 17 0 15 Aug 2021
Minimax Kernel Machine Learning for a Class of Doubly Robust Functionals with Application to Proximal Causal Inference AmirEmad Ghassami Andrew Ying I. Shpitser E. T. Tchetgen 14 43 0 07 Apr 2021