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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.

    Show item 1 to 25 of 71  
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    Conference paper
    Sampath Kannan, Michael Kearns, Jamie Morgenstern, Mallesh M. Pai, Aaron Roth, Rakesh V. Vohra, Zhiwei Steven Wu.
    Fairness Incentives for Myopic Agents.
    CoRR 2017, Volume 0 (0) 2017
    Conference paper
    Michael Kearns.
    Fair Algorithms for Machine Learning.
    Proceedings of the 2017 ACM Conference on Economics and Computation, EC '17, Cambridge, MA, USA, June 26-30, 2017 2017 (0) 2017
    Conference paper
    Sampath Kannan, Michael Kearns, Jamie Morgenstern, Mallesh M. Pai, Aaron Roth, Rakesh V. Vohra, Zhiwei Steven Wu.
    Fairness Incentives for Myopic Agents.
    Proceedings of the 2017 ACM Conference on Economics and Computation, EC '17, Cambridge, MA, USA, June 26-30, 2017 2017 (0) 2017
    Journal article
    Richard Berk, Hoda Heidari, Shahin Jabbari, Matthew Joseph, Michael Kearns, Jamie Morgenstern, Seth Neel, Aaron Roth.
    A Convex Framework for Fair Regression.
    CoRR 2017, Volume 0 (0) 2017
    Conference paper
    Shahin Jabbari, Matthew Joseph, Michael Kearns, Jamie Morgenstern, Aaron Roth.
    Fairness in Reinforcement Learning.
    Proceedings of the 34th International Conference on Machine Learning, ICML 2017, Sydney, NSW, Australia, 6-11 August 2017 2017 (0) 2017
    Conference paper
    Michael Kearns, Aaron Roth, Zhiwei Steven Wu.
    Meritocratic Fairness for Cross-Population Selection.
    Proceedings of the 34th International Conference on Machine Learning, ICML 2017, Sydney, NSW, Australia, 6-11 August 2017 2017 (0) 2017
    Conference paper
    Michael Kearns, Zhiwei Steven Wu.
    Predicting with Distributions.
    Proceedings of the 30th Conference on Learning Theory, COLT 2017, Amsterdam, The Netherlands, 7-10 July 2017 2017 (0) 2017
    Conference paper
    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
    Conference paper
    Matthew Joseph, Michael Kearns, Jamie Morgenstern, Seth Neel, Aaron Roth.
    Rawlsian Fairness for Machine Learning.
    CoRR 2016, Volume 0 (0) 2016
    Conference paper
    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
    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
    Conference paper
    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
    Conference paper
    Michael Kearns, Mallesh M. Pai, Ryan M. Rogers, Aaron Roth, Jonathan Ullman.
    Robust Mediators in Large Games.
    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
    Show item 1 to 25 of 71  

    Your query returned 71 matches in the database.