Proximal Causal Learning of Conditional Average Treatment Effects

26 January 2023

Papers citing "Proximal Causal Learning of Conditional Average Treatment Effects"

7 / 7 papers shown

Title
Quantifying Aleatoric Uncertainty of the Treatment Effect: A Novel Orthogonal Learner Valentyn Melnychuk Stefan Feuerriegel M. Schaar CML 44 2 0 05 Nov 2024
Estimating Distributional Treatment Effects in Randomized Experiments: Machine Learning for Variance Reduction Undral Byambadalai Tatsushi Oka Shota Yasui CML 21 0 0 22 Jul 2024
Recovering Latent Confounders from High-dimensional Proxy Variables Nathan Mankovich Homer Durand Emiliano Díaz Gherardo Varando Gustau Camps-Valls 22 0 0 21 Mar 2024
Deep Learning Methods for Proximal Inference via Maximum Moment Restriction Benjamin Kompa David R. Bellamy Thomas Kolokotrones J. M. Robins Andrew L. Beam 26 12 0 19 May 2022
Proximal Causal Inference for Complex Longitudinal Studies Andrew Ying Wang Miao Xu Shi E. T. Tchetgen 16 38 0 15 Sep 2021
Proximal Learning for Individualized Treatment Regimes Under Unmeasured Confounding Zhengling Qi Rui Miao Xiaoke Zhang CML 15 28 0 03 May 2021
Learning Representations for Counterfactual Inference Fredrik D. Johansson Uri Shalit David Sontag CML OOD BDL 205 713 0 12 May 2016