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Katrina Ligett

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Artificial Intelligence Index Report 2023

Oct 05, 2023
Nestor Maslej, Loredana Fattorini, Erik Brynjolfsson, John Etchemendy, Katrina Ligett, Terah Lyons, James Manyika, Helen Ngo, Juan Carlos Niebles, Vanessa Parli, Yoav Shoham, Russell Wald, Jack Clark, Raymond Perrault

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Generalization in the Face of Adaptivity: A Bayesian Perspective

Jun 20, 2021
Moshe Shenfeld, Katrina Ligett

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Causal Feature Discovery through Strategic Modification

Feb 17, 2020
Yahav Bechavod, Katrina Ligett, Zhiwei Steven Wu, Juba Ziani

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Learn to Expect the Unexpected: Probably Approximately Correct Domain Generalization

Feb 13, 2020
Vikas K. Garg, Adam Kalai, Katrina Ligett, Zhiwei Steven Wu

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Privately Learning Thresholds: Closing the Exponential Gap

Nov 22, 2019
Haim Kaplan, Katrina Ligett, Yishay Mansour, Moni Naor, Uri Stemmer

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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 necessary and sufficient stability notion for adaptive generalization

Jun 03, 2019
Katrina Ligett, Moshe Shenfeld

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Learning to Prune: Speeding up Repeated Computations

Apr 26, 2019
Daniel Alabi, Adam Tauman Kalai, Katrina Ligett, Cameron Musco, Christos Tzamos, Ellen Vitercik

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Equal Opportunity in Online Classification with Partial Feedback

Feb 06, 2019
Yahav Bechavod, Katrina Ligett, Aaron Roth, Bo Waggoner, Zhiwei Steven Wu

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Penalizing Unfairness in Binary Classification

Mar 08, 2018
Yahav Bechavod, Katrina Ligett

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