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Safe Policy Learning through Extrapolation: Application to Pre-trial Risk Assessment

22 September 2021

Papers citing "Safe Policy Learning through Extrapolation: Application to Pre-trial Risk Assessment"

28 / 28 papers shown

Title
Minimax Regret Estimation for Generalizing Heterogeneous Treatment Effects with Multisite Data Yi Zhang Melody Huang Kosuke Imai CML 130 2 0 15 Dec 2024
CSPI-MT: Calibrated Safe Policy Improvement with Multiple Testing for Threshold Policies Brian M Cho Ana-Roxana Pop Kyra Gan Sam Corbett-Davies Israel Nir Ariel Evnine Nathan Kallus OffRL 50 0 0 21 Aug 2024
Designing Algorithmic Recommendations to Achieve Human-AI Complementarity Bryce Mclaughlin Jann Spiess 49 1 0 02 May 2024
Neyman Meets Causal Machine Learning: Experimental Evaluation of Individualized Treatment Rules Michael Lingzhi Li Kosuke Imai CML 73 0 0 25 Apr 2024
Individualized Policy Evaluation and Learning under Clustered Network Interference Yi Zhang Kosuke Imai OffRL 196 1 0 04 Nov 2023
Optimal and Fair Encouragement Policy Evaluation and Learning Angela Zhou OffRL 66 3 0 12 Sep 2023
Bayesian Safe Policy Learning with Chance Constrained Optimization: Application to Military Security Assessment during the Vietnam War Zeyang Jia Eli Ben-Michael Kosuke Imai 79 4 0 17 Jul 2023
Off-policy evaluation beyond overlap: partial identification through smoothness Samir Khan Martin Saveski J. Ugander OffRL 79 5 0 19 May 2023
Policy Learning under Biased Sample Selection Lihua Lei Roshni Sahoo Stefan Wager 175 13 0 23 Apr 2023
Distributionally Robust Causal Inference with Observational Data Dimitris Bertsimas Kosuke Imai Michael Lingzhi Li OOD 102 9 0 15 Oct 2022
Policy Learning with Asymmetric Counterfactual Utilities Eli Ben-Michael Kosuke Imai Zhichao Jiang OffRL 53 16 0 21 Jun 2022
Individualized Decision-Making Under Partial Identification: Three Perspectives, Two Optimality Results, and One Paradox Yifan Cui 88 18 0 21 Oct 2021
Practical and Rigorous Uncertainty Bounds for Gaussian Process Regression Christian Fiedler C. Scherer Sebastian Trimpe GP 60 70 0 06 May 2021
Learning Optimal Distributionally Robust Individualized Treatment Rules Weibin Mo Zhengling Qi Yufeng Liu 86 49 0 26 Jun 2020
Principal Fairness for Human and Algorithmic Decision-Making Kosuke Imai Zhichao Jiang FaML 48 31 0 21 May 2020
Greedy Algorithm almost Dominates in Smoothed Contextual Bandits Manish Raghavan Aleksandrs Slivkins Jennifer Wortman Vaughan Zhiwei Steven Wu 355 18 0 19 May 2020
A semiparametric instrumental variable approach to optimal treatment regimes under endogeneity Yifan Cui E. T. Tchetgen Tchetgen CML 67 65 0 21 Nov 2019
Interpretable machine learning: definitions, methods, and applications W. James Murdoch Chandan Singh Karl Kumbier R. Abbasi-Asl Bin Yu XAI HAI 201 1,444 0 14 Jan 2019
Quasi-Oracle Estimation of Heterogeneous Treatment Effects Xinkun Nie Stefan Wager CML 162 653 0 13 Dec 2017
Meta-learners for Estimating Heterogeneous Treatment Effects using Machine Learning Sören R. Künzel Jasjeet Sekhon Peter J. Bickel Bin Yu CML 164 928 0 12 Jun 2017
Balanced Policy Evaluation and Learning Nathan Kallus CML OffRL 420 142 0 21 May 2017
Mostly Exploration-Free Algorithms for Contextual Bandits Hamsa Bastani Mohsen Bayati Khashayar Khosravi 373 158 0 28 Apr 2017
On Kernelized Multi-armed Bandits Sayak Ray Chowdhury Aditya Gopalan 116 463 0 03 Apr 2017
Statistical inference for the mean outcome under a possibly non-unique optimal treatment strategy Alexander Luedtke M. J. van der Laan 263 222 0 24 Mar 2016
Counterfactual Probabilities: Computational Methods, Bounds and Applications Alexander Balke Judea Pearl 75 255 0 27 Feb 2013
Performance guarantees for individualized treatment rules Min Qian Susan Murphy 311 558 0 17 May 2011
Doubly Robust Policy Evaluation and Learning Miroslav Dudík John Langford Lihong Li OffRL 345 697 0 23 Mar 2011
The Offset Tree for Learning with Partial Labels A. Beygelzimer John Langford 317 185 0 21 Dec 2008