Policy Learning with Observational Data

9 February 2017

Papers citing "Policy Learning with Observational Data"

22 / 22 papers shown

Title
Confounding-Robust Policy Improvement with Human-AI Teams Ruijiang Gao Mingzhang Yin 24 3 0 13 Oct 2023
Online learning in bandits with predicted context Yongyi Guo Ziping Xu Susan Murphy 24 4 0 26 Jul 2023
Best Arm Identification with Contextual Information under a Small Gap Masahiro Kato Masaaki Imaizumi Takuya Ishihara T. Kitagawa 16 2 0 15 Sep 2022
Interpretable Off-Policy Learning via Hyperbox Search D. Tschernutter Tobias Hatt Stefan Feuerriegel OffRL CML 42 5 0 04 Mar 2022
Statistical Learning for Individualized Asset Allocation Yi Ding Yingying Li Rui Song 20 0 0 20 Jan 2022
GEAR: On Optimal Decision Making with Auxiliary Data Hengrui Cai R. Song Wenbin Lu 27 1 0 21 Apr 2021
Learning Optimal Distributionally Robust Individualized Treatment Rules Weibin Mo Zhengling Qi Yufeng Liu 26 47 0 26 Jun 2020
Uncertainty Quantification for Sparse Deep Learning Yuexi Wang Veronika Rockova BDL UQCV 20 31 0 26 Feb 2020
Causal Inference under Networked Interference and Intervention Policy Enhancement Yunpu Ma Volker Tresp CML 23 40 0 20 Feb 2020
Efficient Policy Learning from Surrogate-Loss Classification Reductions Andrew Bennett Nathan Kallus OffRL 10 15 0 12 Feb 2020
Localized Debiased Machine Learning: Efficient Inference on Quantile Treatment Effects and Beyond Nathan Kallus Xiaojie Mao Masatoshi Uehara 23 25 0 30 Dec 2019
Counterfactual Evaluation of Treatment Assignment Functions with Networked Observational Data Ruocheng Guo Jundong Li Huan Liu CML OffRL 20 21 0 22 Dec 2019
An introduction to flexible methods for policy evaluation M. Huber CML 19 7 0 01 Oct 2019
Affordable Uplift: Supervised Randomization in Controlled Experiments Johannes Haupt D. Jacob R. M. Gubela Stefan Lessmann 19 5 0 01 Oct 2019
Policy Targeting under Network Interference Davide Viviano 22 33 0 24 Jun 2019
Assessing Algorithmic Fairness with Unobserved Protected Class Using Data Combination Nathan Kallus Xiaojie Mao Angela Zhou FaML 13 155 0 01 Jun 2019
Machine learning in policy evaluation: new tools for causal inference N. Kreif K. DiazOrdaz ELM CML 14 45 0 01 Mar 2019
Classifying Treatment Responders Under Causal Effect Monotonicity Nathan Kallus CML 18 16 0 14 Feb 2019
Fair Decisions Despite Imperfect Predictions Niki Kilbertus Manuel Gomez Rodriguez Bernhard Schölkopf Krikamol Muandet Isabel Valera FaML OffRL 20 5 0 08 Feb 2019
Interval Estimation of Individual-Level Causal Effects Under Unobserved Confounding Nathan Kallus Xiaojie Mao Angela Zhou CML 4 91 0 05 Oct 2018
Confounding-Robust Policy Improvement Nathan Kallus Angela Zhou CML OffRL 21 152 0 22 May 2018
Model Selection for Treatment Choice: Penalized Welfare Maximization Eric Mbakop Max Tabord-Meehan 14 65 0 11 Sep 2016