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Proximal Causal Learning with Kernels: Two-Stage Estimation and Moment Restriction

10 May 2021

Papers citing "Proximal Causal Learning with Kernels: Two-Stage Estimation and Moment Restriction"

21 / 21 papers shown

Title
Adjustment for Confounding using Pre-Trained Representations Rickmer Schulte David Rügamer Thomas Nagler CML BDL 27 0 0 17 Jun 2025
DeCaFlow: A Deconfounding Causal Generative Model Alejandro Almodóvar Adrián Javaloy J. Parras Santiago Zazo Isabel Valera CML 78 0 0 19 Mar 2025
Spectral Representation for Causal Estimation with Hidden Confounders Zhaolin Ren Haotian Sun Antoine Moulin Arthur Gretton Bo Dai CML 127 3 0 15 Jul 2024
Kernel Single Proxy Control for Deterministic Confounding Liyuan Xu Arthur Gretton CML 87 3 0 08 Aug 2023
Causal Discovery via Conditional Independence Testing with Proxy Variables Mingzhou Liu Xinwei Sun Yu Qiao Yizhou Wang CML 59 2 0 09 May 2023
Optimal Treatment Regimes for Proximal Causal Learning Tao Shen Yifan Cui CML 70 3 0 19 Dec 2022
Spectral Representation Learning for Conditional Moment Models Ziyu Wang Yucen Luo Yueru Li Jun Zhu Bernhard Schölkopf CML 99 9 0 29 Oct 2022
Inference on Strongly Identified Functionals of Weakly Identified Functions Andrew Bennett Nathan Kallus Xiaojie Mao Whitney Newey Vasilis Syrgkanis Masatoshi Uehara 114 17 0 17 Aug 2022
Provably Efficient Reinforcement Learning in Partially Observable Dynamical Systems Masatoshi Uehara Ayush Sekhari Jason D. Lee Nathan Kallus Wen Sun OffRL 101 36 0 24 Jun 2022
Pessimism in the Face of Confounders: Provably Efficient Offline Reinforcement Learning in Partially Observable Markov Decision Processes Miao Lu Yifei Min Zhaoran Wang Zhuoran Yang OffRL 106 23 0 26 May 2022
Deep Learning Methods for Proximal Inference via Maximum Moment Restriction Benjamin Kompa David R. Bellamy Thomas Kolokotrones J. M. Robins Andrew L. Beam 92 14 0 19 May 2022
Long-term Causal Inference Under Persistent Confounding via Data Combination Guido Imbens Nathan Kallus Xiaojie Mao Yuhao Wang CML 119 49 0 15 Feb 2022
Multi-treatment Effect Estimation from Biomedical Data Raquel Y. S. Aoki Yizhou Chen M. Ester 68 0 0 14 Dec 2021
A Minimax Learning Approach to Off-Policy Evaluation in Confounded Partially Observable Markov Decision Processes C. Shi Masatoshi Uehara Jiawei Huang Nan Jiang OffRL 101 26 0 12 Nov 2021
Towards Principled Causal Effect Estimation by Deep Identifiable Models Pengzhou (Abel) Wu Kenji Fukumizu BDL OOD CML 72 3 0 30 Sep 2021
Proximal Causal Inference for Complex Longitudinal Studies Andrew Ying Wang Miao Xu Shi E. T. Tchetgen 125 40 0 15 Sep 2021
Quasi-Bayesian Dual Instrumental Variable Regression Ziyun Wang Yuhao Zhou Zhaolin Ren Jun Zhu 63 2 0 16 Jun 2021
Causal Effect Inference for Structured Treatments Jean Kaddour Yuchen Zhu Qi Liu Matt J. Kusner Ricardo M. A. Silva CML 262 51 0 03 Jun 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 94 44 0 07 Apr 2021
Kernel Methods for Unobserved Confounding: Negative Controls, Proxies, and Instruments Rahul Singh CML 98 41 0 18 Dec 2020
Semiparametric proximal causal inference Yifan Cui Hongming Pu Xu Shi Wang Miao E. T. Tchetgen Tchetgen 80 108 0 17 Nov 2020