Causal Inference Under Unmeasured Confounding With Negative Controls: A Minimax Learning Approach

25 March 2021

Papers citing "Causal Inference Under Unmeasured Confounding With Negative Controls: A Minimax Learning Approach"

22 / 22 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
A Convex Framework for Confounding Robust Inference Kei Ishikawa Naio He Takafumi Kanamori OffRL 25 0 0 21 Sep 2023
Kernel Single Proxy Control for Deterministic Confounding Liyuan Xu Arthur Gretton CML 26 2 0 08 Aug 2023
Minimax Instrumental Variable Regression and $L_2$ Convergence Guarantees without Identification or Closedness Andrew Bennett Nathan Kallus Xiaojie Mao Whitney Newey Vasilis Syrgkanis Masatoshi Uehara 36 14 0 10 Feb 2023
Falsification of Internal and External Validity in Observational Studies via Conditional Moment Restrictions Zeshan Hussain M. Shih Michael Oberst Ilker Demirel D. Sontag 34 8 0 30 Jan 2023
Proximal Causal Learning of Conditional Average Treatment Effects Erik Sverdrup Yifan Cui CML 28 4 0 26 Jan 2023
Adapting to Latent Subgroup Shifts via Concepts and Proxies Ibrahim M. Alabdulmohsin Nicole Chiou Alexander DÁmour Arthur Gretton Sanmi Koyejo Matt J. Kusner Stephen R. Pfohl Olawale Salaudeen Jessica Schrouff Katherine Tsai 68 9 0 21 Dec 2022
Optimal Treatment Regimes for Proximal Causal Learning Tao Shen Yifan Cui CML 38 3 0 19 Dec 2022
Inference on Strongly Identified Functionals of Weakly Identified Functions Andrew Bennett Nathan Kallus Xiaojie Mao Whitney Newey Vasilis Syrgkanis Masatoshi Uehara 38 15 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 49 32 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 57 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 39 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 42 10 0 27 Apr 2022
Off-Policy Confidence Interval Estimation with Confounded Markov Decision Process C. Shi Jin Zhu Ye Shen Shuang Luo Hong Zhu R. Song OffRL 28 30 0 22 Feb 2022
Combining Experimental and Observational Data for Identification and Estimation of Long-Term Causal Effects AmirEmad Ghassami Alan Yang David Richardson I. Shpitser E. T. Tchetgen CML 29 17 0 26 Jan 2022
Causal Inference with Hidden Mediators AmirEmad Ghassami Alan Yang I. Shpitser E. T. Tchetgen 19 6 0 04 Nov 2021
Many Proxy Controls Ben Deaner AI4CE 36 7 0 08 Oct 2021
Proximal Causal Inference for Complex Longitudinal Studies Andrew Ying Wang Miao Xu Shi E. T. Tchetgen 32 39 0 15 Sep 2021
The Proximal ID Algorithm I. Shpitser Zach Wood-Doughty E. T. Tchetgen CML 35 17 0 15 Aug 2021
Proximal Learning for Individualized Treatment Regimes Under Unmeasured Confounding Zhengling Qi Rui Miao Xiaoke Zhang CML 36 28 0 03 May 2021
Semiparametric proximal causal inference Yifan Cui Hongming Pu Xu Shi Wang Miao E. T. Tchetgen Tchetgen 23 100 0 17 Nov 2020