Deep Proxy Causal Learning and its Application to Confounded Bandit Policy Evaluation

7 June 2021

Papers citing "Deep Proxy Causal Learning and its Application to Confounded Bandit Policy Evaluation"

9 / 9 papers shown

Title
Conformal Prediction with Corrupted Labels: Uncertain Imputation and Robust Re-weighting Shai Feldman Stephen Bates Yaniv Romano 31 0 0 07 May 2025
Spectral Representation for Causal Estimation with Hidden Confounders Tongzheng Ren Haotian Sun Antoine Moulin Arthur Gretton Bo Dai CML 32 1 0 15 Jul 2024
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 Arthur Gretton CML 26 2 0 08 Aug 2023
Statistical Estimation of Confounded Linear MDPs: An Instrumental Variable Approach Miao Lu Wenhao Yang Liangyu Zhang Zhihua Zhang OffRL 37 1 0 12 Sep 2022
Provably Efficient Reinforcement Learning in Partially Observable Dynamical Systems Masatoshi Uehara Ayush Sekhari Jason D. Lee Nathan Kallus Wen Sun OffRL 49 31 0 24 Jun 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
Learning Causal Models from Conditional Moment Restrictions by Importance Weighting Masahiro Kato Masaaki Imaizumi K. McAlinn Haruo Kakehi Shota Yasui CML 44 5 0 03 Aug 2021
Learning Representations for Counterfactual Inference Fredrik D. Johansson Uri Shalit David Sontag CML OOD BDL 232 719 0 12 May 2016