Balanced Policy Evaluation and Learning

21 May 2017

Papers citing "Balanced Policy Evaluation and Learning"

40 / 90 papers shown

Title
Fairness in Machine Learning: A Survey Simon Caton C. Haas FaML 37 616 0 04 Oct 2020
Off-policy Evaluation in Infinite-Horizon Reinforcement Learning with Latent Confounders Andrew Bennett Nathan Kallus Lihong Li Ali Mousavi OffRL 35 43 0 27 Jul 2020
Offline Contextual Bandits with Overparameterized Models David Brandfonbrener William F. Whitney Rajesh Ranganath Joan Bruna OffRL 20 10 0 27 Jun 2020
Counterfactually Guided Off-policy Transfer in Clinical Settings Taylor W. Killian Marzyeh Ghassemi Shalmali Joshi CML OffRL OOD 29 11 0 20 Jun 2020
Confident Off-Policy Evaluation and Selection through Self-Normalized Importance Weighting Ilja Kuzborskij Claire Vernade András Gyorgy Csaba Szepesvári OffRL 16 46 0 18 Jun 2020
Distributionally Robust Batch Contextual Bandits Nian Si Fan Zhang Zhengyuan Zhou Jose H. Blanchet OffRL 19 23 0 10 Jun 2020
Performance metrics for intervention-triggering prediction models do not reflect an expected reduction in outcomes from using the model Alejandro Schuler Aashish Bhardwaj Vincent X. Liu 23 0 0 02 Jun 2020
DTR Bandit: Learning to Make Response-Adaptive Decisions With Low Regret Yichun Hu Nathan Kallus OffRL 13 0 0 06 May 2020
Comment: Entropy Learning for Dynamic Treatment Regimes Nathan Kallus 6 4 0 06 Apr 2020
Causal Inference under Networked Interference and Intervention Policy Enhancement Yunpu Ma Volker Tresp CML 39 41 0 20 Feb 2020
Efficient Policy Learning from Surrogate-Loss Classification Reductions Andrew Bennett Nathan Kallus OffRL 31 16 0 12 Feb 2020
Statistically Efficient Off-Policy Policy Gradients Nathan Kallus Masatoshi Uehara OffRL 24 37 0 10 Feb 2020
Combining Offline Causal Inference and Online Bandit Learning for Data Driven Decision Li Ye Yishi Lin Hong Xie John C. S. Lui CML 14 11 0 16 Jan 2020
Counterfactual Evaluation of Treatment Assignment Functions with Networked Observational Data Ruocheng Guo Jundong Li Huan Liu CML OffRL 33 21 0 22 Dec 2019
A semiparametric instrumental variable approach to optimal treatment regimes under endogeneity Yifan Cui E. T. Tchetgen Tchetgen CML 14 63 0 21 Nov 2019
Efficiently Breaking the Curse of Horizon in Off-Policy Evaluation with Double Reinforcement Learning Nathan Kallus Masatoshi Uehara OffRL 26 88 0 12 Sep 2019
Policy Evaluation with Latent Confounders via Optimal Balance Andrew Bennett Nathan Kallus CML 22 18 0 06 Aug 2019
Doubly robust off-policy evaluation with shrinkage Yi-Hsun Su Maria Dimakopoulou A. Krishnamurthy Miroslav Dudík OffRL 27 104 0 22 Jul 2019
More Efficient Policy Learning via Optimal Retargeting Nathan Kallus OffRL 11 39 0 20 Jun 2019
Intrinsically Efficient, Stable, and Bounded Off-Policy Evaluation for Reinforcement Learning Nathan Kallus Masatoshi Uehara OffRL 27 54 0 09 Jun 2019
Balanced off-policy evaluation in general action spaces A. Sondhi David Arbour Drew Dimmery OffRL 29 17 0 09 Jun 2019
Learning When-to-Treat Policies Xinkun Nie Emma Brunskill Stefan Wager CML OffRL 26 89 0 23 May 2019
Experimental Evaluation of Individualized Treatment Rules Kosuke Imai Michael Lingzhi Li 9 38 0 14 May 2019
Sparsity Double Robust Inference of Average Treatment Effects Jelena Bradic Stefan Wager Yinchu Zhu CML 25 39 0 02 May 2019
Adversarial Balancing-based Representation Learning for Causal Effect Inference with Observational Data Xin Du Lei Sun W. Duivesteijn Alexander G. Nikolaev Mykola Pechenizkiy OOD CML 26 41 0 30 Apr 2019
Machine Learning Methods Economists Should Know About Susan Athey Guido Imbens 34 668 0 24 Mar 2019
Machine learning in policy evaluation: new tools for causal inference N. Kreif K. DiazOrdaz ELM CML 36 45 0 01 Mar 2019
Classifying Treatment Responders Under Causal Effect Monotonicity Nathan Kallus CML 28 16 0 14 Feb 2019
Fair Decisions Despite Imperfect Predictions Niki Kilbertus Manuel Gomez Rodriguez Bernhard Schölkopf Krikamol Muandet Isabel Valera FaML OffRL 28 5 0 08 Feb 2019
Estimating Individualized Treatment Regimes from Crossover Designs Crystal T. Nguyen Daniel J. Luckett A. Kahkoska G. Shearrer D. Spruijt-Metz Jaimie N. Davis Michael R. Kosorok 14 1 0 05 Feb 2019
Balanced Linear Contextual Bandits Maria Dimakopoulou Zhengyuan Zhou Susan Athey Guido Imbens 18 64 0 15 Dec 2018
Adversarial Balancing for Causal Inference Michal Ozery-Flato Pierre Thodoroff Matan Ninio Michal Rosen-Zvi T. El-Hay CML GAN 16 25 0 17 Oct 2018
Offline Multi-Action Policy Learning: Generalization and Optimization Zhengyuan Zhou Susan Athey Stefan Wager OffRL 30 120 0 10 Oct 2018
Interval Estimation of Individual-Level Causal Effects Under Unobserved Confounding Nathan Kallus Xiaojie Mao Angela Zhou CML 22 91 0 05 Oct 2018
Optimization over Continuous and Multi-dimensional Decisions with Observational Data Dimitris Bertsimas Christopher McCord 34 27 0 11 Jul 2018
Confounding-Robust Policy Improvement Nathan Kallus Angela Zhou CML OffRL 40 152 0 22 May 2018
Accurate Inference for Adaptive Linear Models Y. Deshpande Lester W. Mackey Vasilis Syrgkanis Matt Taddy OffRL 23 60 0 18 Dec 2017
Estimation Considerations in Contextual Bandits Maria Dimakopoulou Zhengyuan Zhou Susan Athey Guido Imbens 34 69 0 19 Nov 2017
Policy Learning with Observational Data Susan Athey Stefan Wager CML OffRL 32 183 0 09 Feb 2017
Recursive Partitioning for Personalization using Observational Data Nathan Kallus CML 6 99 0 31 Aug 2016