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Keegan Harris

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Can large language models explore in-context?

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Mar 22, 2024
Akshay Krishnamurthy, Keegan Harris, Dylan J. Foster, Cyril Zhang, Aleksandrs Slivkins

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Regret Minimization in Stackelberg Games with Side Information

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Feb 22, 2024
Keegan Harris, Zhiwei Steven Wu, Maria-Florina Balcan

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Incentive-Aware Synthetic Control: Accurate Counterfactual Estimation via Incentivized Exploration

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Dec 26, 2023
Daniel Ngo, Keegan Harris, Anish Agarwal, Vasilis Syrgkanis, Zhiwei Steven Wu

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Algorithmic Persuasion Through Simulation: Information Design in the Age of Generative AI

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Nov 29, 2023
Keegan Harris, Nicole Immorlica, Brendan Lucier, Aleksandrs Slivkins

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Meta-Learning Adversarial Bandit Algorithms

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Jul 05, 2023
Mikhail Khodak, Ilya Osadchiy, Keegan Harris, Maria-Florina Balcan, Kfir Y. Levy, Ron Meir, Zhiwei Steven Wu

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Adaptive Principal Component Regression with Applications to Panel Data

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Jul 03, 2023
Anish Agarwal, Keegan Harris, Justin Whitehouse, Zhiwei Steven Wu

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Strategic Apple Tasting

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Jun 09, 2023
Keegan Harris, Chara Podimata, Zhiwei Steven Wu

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Strategyproof Decision-Making in Panel Data Settings and Beyond

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Nov 25, 2022
Keegan Harris, Anish Agarwal, Chara Podimata, Zhiwei Steven Wu

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Meta-Learning Adversarial Bandits

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May 27, 2022
Maria-Florina Balcan, Keegan Harris, Mikhail Khodak, Zhiwei Steven Wu

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Bayesian Persuasion for Algorithmic Recourse

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Dec 12, 2021
Keegan Harris, Valerie Chen, Joon Sik Kim, Ameet Talwalkar, Hoda Heidari, Zhiwei Steven Wu

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