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Stateful Offline Contextual Policy Evaluation and Learning


Oct 19, 2021
Nathan Kallus, Angela Zhou


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Fairness, Welfare, and Equity in Personalized Pricing


Dec 27, 2020
Nathan Kallus, Angela Zhou

* Accepted at FAccT 2021 

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Confounding-Robust Policy Evaluation in Infinite-Horizon Reinforcement Learning


Feb 11, 2020
Nathan Kallus, Angela Zhou


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Assessing Disparate Impacts of Personalized Interventions: Identifiability and Bounds


Jun 04, 2019
Nathan Kallus, Angela Zhou


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Assessing Algorithmic Fairness with Unobserved Protected Class Using Data Combination


Jun 01, 2019
Nathan Kallus, Xiaojie Mao, Angela Zhou


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The Fairness of Risk Scores Beyond Classification: Bipartite Ranking and the xAUC Metric


Feb 15, 2019
Nathan Kallus, Angela Zhou


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Confounding-Robust Policy Improvement


Jun 27, 2018
Nathan Kallus, Angela Zhou


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Residual Unfairness in Fair Machine Learning from Prejudiced Data


Jun 07, 2018
Nathan Kallus, Angela Zhou


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Policy Evaluation and Optimization with Continuous Treatments


Feb 16, 2018
Nathan Kallus, Angela Zhou

* appearing at AISTATS 2018 

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Dynamic Task Allocation for Crowdsourcing Settings


Feb 25, 2017
Angela Zhou, Irineo Cabreros, Karan Singh

* Presented at the Data Efficient Machine Learning Workshop at International Conference on Machine Learning (ICML) 2016 

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