Kernel Methods for Unobserved Confounding: Negative Controls, Proxies, and Instruments

18 December 2020

Papers citing "Kernel Methods for Unobserved Confounding: Negative Controls, Proxies, and Instruments"

13 / 13 papers shown

Title
Doubly Robust Proximal Causal Learning for Continuous Treatments Yong Wu Yanwei Fu Shouyan Wang Xinwei Sun 26 1 0 22 Sep 2023
Kernel Single Proxy Control for Deterministic Confounding Liyuan Xu A. Gretton CML 24 2 0 08 Aug 2023
Proximal Causal Learning of Conditional Average Treatment Effects Erik Sverdrup Yifan Cui CML 21 4 0 26 Jan 2023
Kernel-based off-policy estimation without overlap: Instance optimality beyond semiparametric efficiency Wenlong Mou Peng Ding Martin J. Wainwright Peter L. Bartlett OffRL 8 10 0 16 Jan 2023
Optimal Treatment Regimes for Proximal Causal Learning Tao Shen Yifan Cui CML 30 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 24 10 0 21 Sep 2022
Inference on Strongly Identified Functionals of Weakly Identified Functions Andrew Bennett Nathan Kallus Xiaojie Mao Whitney Newey Vasilis Syrgkanis Masatoshi Uehara 30 15 0 17 Aug 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 45 22 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 31 12 0 19 May 2022
Controlling for Latent Confounding with Triple Proxies Ben Deaner CML 24 0 0 28 Apr 2022
Proximal Causal Inference for Marginal Counterfactual Survival Curves Andrew Ying Yifan Cui E. T. Tchetgen 34 10 0 27 Apr 2022
Many Proxy Controls Ben Deaner AI4CE 25 7 0 08 Oct 2021
Semiparametric proximal causal inference Yifan Cui Hongming Pu Xu Shi Wang Miao E. T. Tchetgen Tchetgen 21 100 0 17 Nov 2020