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Online Multivalid Learning: Means, Moments, and Prediction Intervals


Jan 05, 2021
Varun Gupta, Christopher Jung, Georgy Noarov, Mallesh M. Pai, Aaron Roth


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Moment Multicalibration for Uncertainty Estimation


Aug 18, 2020
Christopher Jung, Changhwa Lee, Mallesh M. Pai, Aaron Roth, Rakesh Vohra


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Fair Prediction with Endogenous Behavior


Feb 18, 2020
Christopher Jung, Sampath Kannan, Changhwa Lee, Mallesh M. Pai, Aaron Roth, Rakesh Vohra


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Metric-Free Individual Fairness in Online Learning


Feb 17, 2020
Yahav Bechavod, Christopher Jung, Zhiwei Steven Wu


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A New Analysis of Differential Privacy's Generalization Guarantees


Sep 09, 2019
Christopher Jung, Katrina Ligett, Seth Neel, Aaron Roth, Saeed Sharifi-Malvajerdi, Moshe Shenfeld


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A Center in Your Neighborhood: Fairness in Facility Location


Aug 30, 2019
Christopher Jung, Sampath Kannan, Neil Lutz


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Eliciting and Enforcing Subjective Individual Fairness


May 25, 2019
Christopher Jung, Michael Kearns, Seth Neel, Aaron Roth, Logan Stapleton, Zhiwei Steven Wu


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Quantifying the Burden of Exploration and the Unfairness of Free Riding


Oct 20, 2018
Christopher Jung, Sampath Kannan, Neil Lutz


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Online Learning with an Unknown Fairness Metric


Sep 18, 2018
Stephen Gillen, Christopher Jung, Michael Kearns, Aaron Roth


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Fair Algorithms for Learning in Allocation Problems


Aug 30, 2018
Hadi Elzayn, Shahin Jabbari, Christopher Jung, Michael Kearns, Seth Neel, Aaron Roth, Zachary Schutzman


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