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    Author information
    First name: Michael
    Last name: Kearns
    DBLP: 78/6858
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    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
    Journal article
    Michael Kearns, Lawrence K. Saul.
    Large Deviation Methods for Approximate Probabilistic Inference
    CoRR 2013, Volume 0 (0) 2013
    Journal article
    Michael Kearns, Yishay Mansour, Satinder P. Singh.
    Fast Planning in Stochastic Games
    CoRR 2013, Volume 0 (0) 2013
    Journal article
    Satinder P. Singh, Michael Kearns, Yishay Mansour.
    Nash Convergence of Gradient Dynamics in Iterated General-Sum Games
    CoRR 2013, Volume 0 (0) 2013
    Journal article
    Michael Kearns, Michael L. Littman, Satinder P. Singh.
    Graphical Models for Game Theory
    CoRR 2013, Volume 0 (0) 2013
    Journal article
    Michael Kearns, Yishay Mansour.
    Efficient Nash Computation in Large Population Games with Bounded Influence
    CoRR 2013, Volume 0 (0) 2013
    Journal article
    Michael Kearns, Yishay Mansour.
    Exact Inference of Hidden Structure from Sample Data in Noisy-OR Networks
    CoRR 2013, Volume 0 (0) 2013
    Journal article
    Michael Kearns, Yishay Mansour, Andrew Y. Ng.
    An Information-Theoretic Analysis of Hard and Soft Assignment Methods for Clustering
    CoRR 2013, Volume 0 (0) 2013
    Conference paper
    Jacob D. Abernethy, Kareem Amin, Michael Kearns, Moez Draief.
    Large-Scale Bandit Problems and KWIK Learning.
    Proceedings of the 30th International Conference on Machine Learning, ICML 2013, Atlanta, GA, USA, 16-21 June 2013 2013 (0) 2013
    Conference paper
    Hoda Heidari, Michael Kearns.
    Depth-Workload Tradeoffs for Workforce Organization.
    Proceedings of the First AAAI Conference on Human Computation and Crowdsourcing, HCOMP 2013, November 7-9, 2013, Palm Springs, CA, USA 2013 (0) 2013
    Conference paper
    Tim Roughgarden, Michael Kearns.
    Marginals-to-Models Reducibility.
    Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013, Lake Tahoe, Nevada, United States. 2013 (0) 2013
    Conference paper
    Sanjeev Goyal, Michael Kearns.
    Competitive contagion in networks.
    Proceedings of the 44th Symposium on Theory of Computing Conference, STOC 2012, New York, NY, USA, May 19 - 22, 2012 2012 (0) 2012
    Conference paper
    Michael Kearns, J. Stephen Judd, Yevgeniy Vorobeychik.
    Behavioral experiments on a network formation game.
    ACM Conference on Electronic Commerce, EC '12, Valencia, Spain, June 4-8, 2012 2012 (0) 2012
    Conference paper
    Michael Kearns.
    Experiments in social computation: (and the data they generate).
    The 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD '12, Beijing, China, August 12-16, 2012 2012 (0) 2012
    Conference paper
    Quang Duong, Michael P. Wellman, Satinder P. Singh, Michael Kearns.
    Learning and predicting dynamic networked behavior with graphical multiagent models.
    International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2012, Valencia, Spain, June 4-8, 2012 (3 Volumes) 2012 (0) 2012
    Conference paper
    Pushmeet Kohli, Michael Kearns, Yoram Bachrach, Ralf Herbrich, David Stillwell, Thore Graepel.
    Colonel Blotto on Facebook: the effect of social relations on strategic interaction.
    (0) 2012
    Conference paper
    Kareem Amin, Michael Kearns, Umar Syed.
    Graphical Models for Bandit Problems
    CoRR 2012, Volume 0 (0) 2012
    Conference paper
    Kuzman Ganchev, Michael Kearns, Yuriy Nevmyvaka, Jennifer Wortman Vaughan.
    Censored Exploration and the Dark Pool Problem
    CoRR 2012, Volume 0 (0) 2012
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