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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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    Journal article
    Matthew Joseph, Michael Kearns, Jamie Morgenstern, Aaron Roth.
    Fairness in Learning: Classic and Contextual Bandits.
    CoRR 2016, Volume 0 (0) 2016
    Journal article
    Michael Kearns, Zhiwei Steven Wu.
    Predicting with Distributions.
    CoRR 2016, Volume 0 (0) 2016
    Conference paper
    Hoda Heidari, Michael Kearns, Aaron Roth.
    Tight Policy Regret Bounds for Improving and Decaying Bandits.
    Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, IJCAI 2016, New York, NY, USA, 9-15 July 2016 2016 (0) 2016
    Journal article
    Matthew Joseph, Michael Kearns, Jamie Morgenstern, Seth Neel, Aaron Roth.
    Rawlsian Fairness for Machine Learning.
    CoRR 2016, Volume 0 (0) 2016
    Journal article
    Shahin Jabbari, Matthew Joseph, Michael Kearns, Jamie Morgenstern, Aaron Roth.
    Fair Learning in Markovian Environments.
    CoRR 2016, Volume 0 (0) 2016
    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
    Lili Dworkin, Michael Kearns.
    From "In" to "Over": Behavioral Experiments on Whole-Network Computation.
    Proceedings of the Third AAAI Conference on Human Computation and Crowdsourcing, HCOMP 2015, November 8-11, 2015, San Diego, California. 2015 (0) 2015
    Journal article
    Sanjeev Goyal, Shahin Jabbari, Michael Kearns, Sanjeev Khanna, Jamie Morgenstern.
    Strategic Network Formation with Attack and Immunization.
    CoRR 2015, Volume 0 (0) 2015
    Conference paper
    Rachel Cummings, Michael Kearns, Aaron Roth, Zhiwei Steven Wu.
    Privacy and Truthful Equilibrium Selection for Aggregative Games.
    Web and Internet Economics - 11th International Conference, WINE 2015, Amsterdam, The Netherlands, December 9-12, 2015, Proceedings 2015 (0) 2015
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    Your query returned 61 matches in the database.