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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
    Sanjeev Goyal, Shahin Jabbari, Michael Kearns, Sanjeev Khanna, Jamie Morgenstern.
    Strategic Network Formation with Attack and Immunization.
    Web and Internet Economics - 12th International Conference, WINE 2016, Montreal, Canada, December 11-14, 2016, Proceedings 2016 (0) 2016
    Conference paper
    Matthew Joseph, Michael Kearns, Jamie Morgenstern, Aaron Roth.
    Fairness in Learning: Classic and Contextual Bandits.
    Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, December 5-10, 2016, Barcelona, Spain 2016 (0) 2016
    Conference paper
    Yiling Chen, Arpita Ghosh, Michael Kearns, Tim Roughgarden, Jennifer Wortman Vaughan.
    Mathematical foundations for social computing.
    Commun. ACM 2016, Volume 59 (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
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