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    Author information
    First name: Michael
    Last name: Kearns
    DBLP: 78/6858
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    Below you find the publications which have been written by this author.

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    Conference paper
    Kareem Amin, Rachel Cummings, Lili Dworkin, Michael Kearns, Aaron Roth.
    Online Learning and Profit Maximization from Revealed Preferences.
    Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, January 25-30, 2015, Austin, Texas, USA. 2015 (0) 2015
    Journal article
    Michael Kearns, Aaron Roth, Zhiwei Steven Wu, Grigory Yaroslavtsev.
    Privacy for the Protected (Only).
    CoRR 2015, Volume 0 (0) 2015
    Conference paper
    Michael Kearns, Mallesh M. Pai, Aaron Roth, Jonathan Ullman.
    Mechanism design in large games: incentives and privacy.
    Innovations in Theoretical Computer Science, ITCS'14, Princeton, NJ, USA, January 12-14, 2014 2014 (0) 2014
    Conference paper
    Lili Dworkin, Michael Kearns, Lirong Xia.
    Efficient Inference for Complex Queries on Complex Distributions.
    Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, AISTATS 2014, Reykjavik, Iceland, April 22-25, 2014 2014 (0) 2014
    Journal article
    Michael Kearns, Lili Dworkin.
    A Computational Study of Feasible Repackings in the FCC Incentive Auctions.
    CoRR 2014, Volume 0 (0) 2014
    Conference paper
    Moez Draief, Hoda Heidari, Michael Kearns.
    New Models for Competitive Contagion.
    Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, July 27 -31, 2014, Québec City, Québec, Canada. 2014 (0) 2014
    Journal article
    Kareem Amin, Rachel Cummings, Lili Dworkin, Michael Kearns, Aaron Roth.
    Online Learning and Profit Maximization from Revealed Preferences.
    CoRR 2014, Volume 0 (0) 2014
    Journal article
    Rachel Cummings, Michael Kearns, Aaron Roth, Zhiwei Steven Wu.
    Privacy and Truthful Equilibrium Selection for Aggregative Games.
    CoRR 2014, Volume 0 (0) 2014
    Conference paper
    Kareem Amin, Hoda Heidari, Michael Kearns.
    Learning from Contagion (Without Timestamps).
    Proceedings of the 31th International Conference on Machine Learning, ICML 2014, Beijing, China, 21-26 June 2014 2014 (0) 2014
    Conference paper
    Lili Dworkin, Michael Kearns, Yuriy Nevmyvaka.
    Pursuit-Evasion Without Regret, with an Application to Trading.
    Proceedings of the 31th International Conference on Machine Learning, ICML 2014, Beijing, China, 21-26 June 2014 2014 (0) 2014
    Show item 1 to 10 of 52  

    Your query returned 52 matches in the database.