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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"

30 / 30 papers shown

Title
Density Ratio-Free Doubly Robust Proxy Causal Learning Bariscan Bozkurt Houssam Zenati Dimitri Meunier Liyuan Xu Arthur Gretton 19 0 0 26 May 2025
Conformal Prediction with Corrupted Labels: Uncertain Imputation and Robust Re-weighting Shai Feldman Stephen Bates Yaniv Romano 178 0 0 07 May 2025
An Overview of Causal Inference using Kernel Embeddings Dino Sejdinovic CML BDL 117 4 0 30 Oct 2024
Learning to Embed Distributions via Maximum Kernel Entropy Oleksii Kachaiev Stefano Recanatesi OOD 112 0 0 01 Aug 2024
Causal Inference with Complex Treatments: A Survey Yingrong Wang Haoxuan Li Minqin Zhu Anpeng Wu Ruoxuan Xiong Leilei Gan Kun Kuang CML 86 1 0 19 Jul 2024
Spectral Representation for Causal Estimation with Hidden Confounders Zhaolin Ren Haotian Sun Antoine Moulin Arthur Gretton Bo Dai CML 120 3 0 15 Jul 2024
Automating the Selection of Proxy Variables of Unmeasured Confounders Feng Xie Zhengming Chen Shanshan Luo Wang Miao Ruichu Cai Zhi Geng CML 57 2 0 25 May 2024
Predictive Performance Comparison of Decision Policies Under Confounding Luke M. Guerdan Amanda Coston Kenneth Holstein Zhiwei Steven Wu OffRL 193 0 0 01 Apr 2024
Functional Bilevel Optimization for Machine Learning Ieva Petrulionyte Julien Mairal Michael Arbel 101 5 0 29 Mar 2024
Regularized DeepIV with Model Selection Zihao Li Hui Lan Vasilis Syrgkanis Mengdi Wang Masatoshi Uehara 103 3 0 07 Mar 2024
Causal Fairness under Unobserved Confounding: A Neural Sensitivity Framework Maresa Schröder Dennis Frauen Stefan Feuerriegel CML 71 6 0 30 Nov 2023
The Blessings of Multiple Treatments and Outcomes in Treatment Effect Estimation Yong Wu Mingzhou Liu Jing Yan Yanwei Fu Shouyan Wang Yizhou Wang Xinwei Sun CML 76 2 0 29 Sep 2023
Doubly Robust Proximal Causal Learning for Continuous Treatments Yong Wu Yanwei Fu Shouyan Wang Xinwei Sun 54 2 0 22 Sep 2023
Kernel Single Proxy Control for Deterministic Confounding Liyuan Xu Arthur Gretton CML 76 3 0 08 Aug 2023
Stochastic Online Instrumental Variable Regression: Regrets for Endogeneity and Bandit Feedback R. D. Vecchia D. Basu 77 6 0 18 Feb 2023
A Survey on Causal Reinforcement Learning Yan Zeng Ruichu Cai Gang Hua Libo Huang Zijian Li CML 135 30 0 10 Feb 2023
An Instrumental Variable Approach to Confounded Off-Policy Evaluation Yang Xu Jin Zhu C. Shi Shuang Luo R. Song OffRL 98 18 0 29 Dec 2022
Nonlinear Causal Discovery via Kernel Anchor Regression Wenqi Shi Wenkai Xu CML BDL 52 0 0 30 Oct 2022
Spectral Representation Learning for Conditional Moment Models Ziyu Wang Yucen Luo Yueru Li Jun Zhu Bernhard Schölkopf CML 88 9 0 29 Oct 2022
A Neural Mean Embedding Approach for Back-door and Front-door Adjustment Liyuan Xu Arthur Gretton CML BDL 70 8 0 12 Oct 2022
Statistical Estimation of Confounded Linear MDPs: An Instrumental Variable Approach Miao Lu Wenhao Yang Liangyu Zhang Zhihua Zhang OffRL 68 1 0 12 Sep 2022
Dual Instrumental Method for Confounded Kernelized Bandits Xueping Gong Jiheng Zhang 97 1 0 07 Sep 2022
Estimating individual treatment effects under unobserved confounding using binary instruments Dennis Frauen Stefan Feuerriegel CML 85 20 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 99 36 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 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 115 49 0 15 Feb 2022
Importance Weighting Approach in Kernel Bayes' Rule Liyuan Xu Yutian Chen Arnaud Doucet Arthur Gretton 118 1 0 05 Feb 2022
A Minimax Learning Approach to Off-Policy Evaluation in Confounded Partially Observable Markov Decision Processes C. Shi Masatoshi Uehara Jiawei Huang Nan Jiang OffRL 90 26 0 12 Nov 2021
Proximal Reinforcement Learning: Efficient Off-Policy Evaluation in Partially Observed Markov Decision Processes Andrew Bennett Nathan Kallus OffRL 71 45 0 28 Oct 2021
Learning Causal Models from Conditional Moment Restrictions by Importance Weighting Masahiro Kato Masaaki Imaizumi K. McAlinn Haruo Kakehi Shota Yasui CML 73 5 0 03 Aug 2021