Confounding-Robust Policy Improvement

22 May 2018

Papers citing "Confounding-Robust Policy Improvement"

31 / 31 papers shown

Title
Automatic Reward Shaping from Confounded Offline Data Mingxuan Li Junzhe Zhang Elias Bareinboim OffRL OnRL 28 1 0 16 May 2025
A Neural Framework for Generalized Causal Sensitivity Analysis Dennis Frauen F. Imrie Alicia Curth Valentyn Melnychuk Stefan Feuerriegel M. Schaar CML 31 10 0 27 Nov 2023
A Semiparametric Instrumented Difference-in-Differences Approach to Policy Learning Pan Zhao Yifan Cui CML 28 1 0 14 Oct 2023
Confounding-Robust Policy Improvement with Human-AI Teams Ruijiang Gao Mingzhang Yin 26 3 0 13 Oct 2023
A Convex Framework for Confounding Robust Inference Kei Ishikawa Naio He Takafumi Kanamori OffRL 17 0 0 21 Sep 2023
Delphic Offline Reinforcement Learning under Nonidentifiable Hidden Confounding Alizée Pace Hugo Yèche Bernhard Schölkopf Gunnar Rätsch Guy Tennenholtz OffRL 16 6 0 01 Jun 2023
Diagnosing Model Performance Under Distribution Shift Tiffany Cai Hongseok Namkoong Steve Yadlowsky 37 27 0 03 Mar 2023
Offline Reinforcement Learning for Human-Guided Human-Machine Interaction with Private Information Zuyue Fu Zhengling Qi Zhuoran Yang Zhaoran Wang Lan Wang OffRL 20 0 0 23 Dec 2022
Offline Policy Evaluation and Optimization under Confounding Chinmaya Kausik Yangyi Lu Kevin Tan Maggie Makar Yixin Wang Ambuj Tewari OffRL 23 8 0 29 Nov 2022
Meta-analysis of individualized treatment rules via sign-coherency Jay Jojo Cheng J. Huling Guanhua Chen 24 0 0 28 Nov 2022
Model-Free and Model-Based Policy Evaluation when Causality is Uncertain David Bruns-Smith CML ELM OffRL 24 12 0 02 Apr 2022
Interpretable Off-Policy Learning via Hyperbox Search D. Tschernutter Tobias Hatt Stefan Feuerriegel OffRL CML 50 5 0 04 Mar 2022
Combining Observational and Randomized Data for Estimating Heterogeneous Treatment Effects Tobias Hatt Jeroen Berrevoets Alicia Curth Stefan Feuerriegel M. Schaar CML 52 29 0 25 Feb 2022
Evaluation Methods and Measures for Causal Learning Algorithms Lu Cheng Ruocheng Guo Raha Moraffah Paras Sheth K. S. Candan Huan Liu CML ELM 24 51 0 07 Feb 2022
Long Story Short: Omitted Variable Bias in Causal Machine Learning Victor Chernozhukov Carlos Cinelli Whitney Newey Amit Sharma Vasilis Syrgkanis CML 18 35 0 26 Dec 2021
Enhancing Counterfactual Classification via Self-Training Ruijiang Gao Max Biggs Wei-Ju Sun Ligong Han CML OffRL 32 6 0 08 Dec 2021
Loss Functions for Discrete Contextual Pricing with Observational Data Max Biggs Ruijiang Gao Wei-Ju Sun 31 10 0 18 Nov 2021
Partial Counterfactual Identification from Observational and Experimental Data Junzhe Zhang Jin Tian Elias Bareinboim 24 60 0 12 Oct 2021
Policy Learning with Adaptively Collected Data Ruohan Zhan Zhimei Ren Susan Athey Zhengyuan Zhou OffRL 34 27 0 05 May 2021
Proximal Learning for Individualized Treatment Regimes Under Unmeasured Confounding Zhengling Qi Rui Miao Xiaoke Zhang CML 26 28 0 03 May 2021
Estimating and Improving Dynamic Treatment Regimes With a Time-Varying Instrumental Variable Shuxiao Chen B. Zhang 22 19 0 15 Apr 2021
Instrumental Variable Value Iteration for Causal Offline Reinforcement Learning Luofeng Liao Zuyue Fu Zhuoran Yang Yixin Wang Mladen Kolar Zhaoran Wang OffRL 18 34 0 19 Feb 2021
Bayesian Robust Optimization for Imitation Learning Daniel S. Brown S. Niekum Marek Petrik 27 32 0 24 Jul 2020
Off-policy Policy Evaluation For Sequential Decisions Under Unobserved Confounding Hongseok Namkoong Ramtin Keramati Steve Yadlowsky Emma Brunskill OffRL 6 63 0 12 Mar 2020
Causal Inference under Networked Interference and Intervention Policy Enhancement Yunpu Ma Volker Tresp CML 33 40 0 20 Feb 2020
Confounding-Robust Policy Evaluation in Infinite-Horizon Reinforcement Learning Nathan Kallus Angela Zhou OffRL 33 58 0 11 Feb 2020
Assessing Algorithmic Fairness with Unobserved Protected Class Using Data Combination Nathan Kallus Xiaojie Mao Angela Zhou FaML 24 155 0 01 Jun 2019
Classifying Treatment Responders Under Causal Effect Monotonicity Nathan Kallus CML 25 16 0 14 Feb 2019
Interval Estimation of Individual-Level Causal Effects Under Unobserved Confounding Nathan Kallus Xiaojie Mao Angela Zhou CML 11 91 0 05 Oct 2018
Perfect Match: A Simple Method for Learning Representations For Counterfactual Inference With Neural Networks Patrick Schwab Lorenz Linhardt W. Karlen CML BDL 13 111 0 01 Oct 2018
Policy Learning with Observational Data Susan Athey Stefan Wager CML OffRL 27 183 0 09 Feb 2017