Confounding-Robust Policy Improvement

22 May 2018

Papers citing "Confounding-Robust Policy Improvement"

23 / 23 papers shown

Title
A Neural Framework for Generalized Causal Sensitivity Analysis Dennis Frauen F. Imrie Alicia Curth Valentyn Melnychuk Stefan Feuerriegel M. Schaar CML 26 10 0 27 Nov 2023
A Semiparametric Instrumented Difference-in-Differences Approach to Policy Learning Pan Zhao Yifan Cui CML 26 1 0 14 Oct 2023
Confounding-Robust Policy Improvement with Human-AI Teams Ruijiang Gao Mingzhang Yin 24 3 0 13 Oct 2023
Offline Reinforcement Learning for Human-Guided Human-Machine Interaction with Private Information Zuyue Fu Zhengling Qi Zhuoran Yang Zhaoran Wang Lan Wang OffRL 18 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 18 8 0 29 Nov 2022
Model-Free and Model-Based Policy Evaluation when Causality is Uncertain David Bruns-Smith CML ELM OffRL 22 12 0 02 Apr 2022
Interpretable Off-Policy Learning via Hyperbox Search D. Tschernutter Tobias Hatt Stefan Feuerriegel OffRL CML 42 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 42 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 21 50 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 16 35 0 26 Dec 2021
Enhancing Counterfactual Classification via Self-Training Ruijiang Gao Max Biggs Wei-Ju Sun Ligong Han CML OffRL 26 6 0 08 Dec 2021
Partial Counterfactual Identification from Observational and Experimental Data Junzhe Zhang Jin Tian Elias Bareinboim 16 60 0 12 Oct 2021
Policy Learning with Adaptively Collected Data Ruohan Zhan Zhimei Ren Susan Athey Zhengyuan Zhou OffRL 32 26 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 33 0 19 Feb 2021
Bayesian Robust Optimization for Imitation Learning Daniel S. Brown S. Niekum Marek Petrik 22 32 0 24 Jul 2020
Causal Inference under Networked Interference and Intervention Policy Enhancement Yunpu Ma Volker Tresp CML 23 40 0 20 Feb 2020
Confounding-Robust Policy Evaluation in Infinite-Horizon Reinforcement Learning Nathan Kallus Angela Zhou OffRL 25 58 0 11 Feb 2020
Assessing Algorithmic Fairness with Unobserved Protected Class Using Data Combination Nathan Kallus Xiaojie Mao Angela Zhou FaML 13 155 0 01 Jun 2019
Classifying Treatment Responders Under Causal Effect Monotonicity Nathan Kallus CML 23 16 0 14 Feb 2019
Interval Estimation of Individual-Level Causal Effects Under Unobserved Confounding Nathan Kallus Xiaojie Mao Angela Zhou CML 6 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 11 111 0 01 Oct 2018