Deep Learning Methods for Proximal Inference via Maximum Moment Restriction

19 May 2022

Papers citing "Deep Learning Methods for Proximal Inference via Maximum Moment Restriction"

9 / 9 papers shown

Title
DAG-aware Transformer for Causal Effect Estimation Manqing Liu David R. Bellamy Andrew L. Beam CML 16 3 0 13 Oct 2024
DNA-SE: Towards Deep Neural-Nets Assisted Semiparametric Estimation Qinshuo Liu Zixin Wang Xi-An Li Xinyao Ji Lei Zhang Lin Liu Zhonghua Liu 21 0 0 04 Aug 2024
Spectral Representation for Causal Estimation with Hidden Confounders Tongzheng Ren Haotian Sun Antoine Moulin Arthur Gretton Bo Dai CML 24 1 0 15 Jul 2024
Doubly Robust Proximal Causal Learning for Continuous Treatments Yong Wu Yanwei Fu Shouyan Wang Xinwei Sun 13 1 0 22 Sep 2023
Kernel Single Proxy Control for Deterministic Confounding Liyuan Xu A. Gretton CML 11 2 0 08 Aug 2023
Assumption-lean falsification tests of rate double-robustness of double-machine-learning estimators Lin Liu Rajarshi Mukherjee J. M. Robins 14 1 0 18 Jun 2023
Proximal Causal Learning of Conditional Average Treatment Effects Erik Sverdrup Yifan Cui CML 11 4 0 26 Jan 2023
Optimal Treatment Regimes for Proximal Causal Learning Tao Shen Yifan Cui CML 16 3 0 19 Dec 2022
Semiparametric proximal causal inference Yifan Cui Hongming Pu Xu Shi Wang Miao E. T. Tchetgen Tchetgen 6 84 0 17 Nov 2020