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    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
    Conference paper
    Michael Kearns, Mallesh M. Pai, Aaron Roth, Jonathan Ullman.
    Mechanism Design in Large Games: Incentives and Privacy
    CoRR 2012, Volume 0 (0) 2012
    Conference paper
    Michael Kearns.
    Experiments in social computation.
    Commun. ACM 2012, Volume 55 (0) 2012
    Conference paper
    Kareem Amin, Michael Kearns, Peter Key, Anton Schwaighofer.
    Budget Optimization for Sponsored Search: Censored Learning in MDPs.
    Proceedings of the Twenty-Eighth Conference on Uncertainty in Artificial Intelligence, Catalina Island, CA, USA, August 14-18, 2012 2012 (0) 2012
    Journal article
    Kareem Amin, Michael Kearns, Peter Key, Anton Schwaighofer.
    Budget Optimization for Sponsored Search: Censored Learning in MDPs
    CoRR 2012, Volume 0 (0) 2012
    Conference paper
    Tanmoy Chakraborty, Michael Kearns.
    Market making and mean reversion.
    Proceedings 12th ACM Conference on Electronic Commerce (EC-2011), San Jose, CA, USA, June 5-9, 2011 2011 (0) 2011
    Conference paper
    Mickey Brautbar, Michael Kearns.
    A Clustering Coefficient Network Formation Game.
    Algorithmic Game Theory, 4th International Symposium, SAGT 2011, Amalfi, Italy, October 17-19, 2011. Proceedings 2011 (0) 2011
    Conference paper
    J. Stephen Judd, Michael Kearns, Yevgeniy Vorobeychik.
    Behavioral Conflict and Fairness in Social Networks.
    Internet and Network Economics - 7th International Workshop, WINE 2011, Singapore, December 11-14, 2011. Proceedings 2011 (0) 2011
    Conference paper
    Sanjeev Goyal, Michael Kearns.
    Competitive Contagion in Networks
    CoRR 2011, Volume 0 (0) 2011
    Conference paper
    Kareem Amin, Michael Kearns, Umar Syed.
    Graphical Models for Bandit Problems.
    UAI 2011, Proceedings of the Twenty-Seventh Conference on Uncertainty in Artificial Intelligence, Barcelona, Spain, July 14-17, 2011 2011 (0) 2011
    Journal article
    Kareem Amin, Michael Kearns, Umar Syed.
    Bandits, Query Learning, and the Haystack Dimension.
    Journal of Machine Learning Research - Proceedings Track 2011, Volume 19 (0) 2011
    Conference paper
    Tanmoy Chakraborty, J. Stephen Judd, Michael Kearns, Jinsong Tan.
    A behavioral study of bargaining in social networks.
    Proceedings 11th ACM Conference on Electronic Commerce (EC-2010), Cambridge, Massachusetts, USA, June 7-11, 2010 2010 (0) 2010
    Conference paper
    Mickey Brautbar, Michael Kearns, Umar Syed.
    Private and Third-Party Randomization in Risk-Sensitive Equilibrium Concepts.
    Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, AAAI 2010, Atlanta, Georgia, USA, July 11-15, 2010 2010 (0) 2010
    Conference paper
    Mickey Brautbar, Michael Kearns.
    Local Algorithms for Finding Interesting Individuals in Large Networks.
    Innovations in Computer Science - ICS 2010, Tsinghua University, Beijing, China, January 5-7, 2010. Proceedings 2010 (0) 2010
    Journal article
    Mickey Brautbar, Michael Kearns.
    A Clustering Coefficient Network Formation Game
    CoRR 2010, Volume 0 (0) 2010
    Conference paper
    Kuzman Ganchev, Yuriy Nevmyvaka, Michael Kearns, Jennifer Wortman Vaughan.
    Censored exploration and the dark pool problem.
    Commun. CACM 2010, Volume 53 (0) 2010
    Conference paper
    Kuzman Ganchev, Michael Kearns, Yuriy Nevmyvaka, Jennifer Wortman Vaughan.
    Censored Exploration and the Dark Pool Problem.
    UAI 2009, Proceedings of the Twenty-Fifth Conference on Uncertainty in Artificial Intelligence, Montreal, QC, Canada, June 18-21, 2009 2009 (0) 2009
    Conference paper
    Tanmoy Chakraborty, Michael Kearns, Sanjeev Khanna.
    Network bargaining: algorithms and structural results.
    Proceedings 10th ACM Conference on Electronic Commerce (EC-2009), Stanford, California, USA, July 6--10, 2009 2009 (0) 2009
    Conference paper
    Michael Kearns, Jennifer Wortman Vaughan.
    Learning from Collective Behavior.
    21st Annual Conference on Learning Theory - COLT 2008, Helsinki, Finland, July 9-12, 2008 2008 (0) 2008
    Conference paper
    J. Stephen Judd, Michael Kearns.
    Behavioral experiments in networked trade.
    Proceedings 9th ACM Conference on Electronic Commerce (EC-2008), Chicago, IL, USA, June 8-12, 2008 2008 (0) 2008
    Conference paper
    Michael Kearns, Jinsong Tan.
    Biased Voting and the Democratic Primary Problem.
    Internet and Network Economics, 4th International Workshop, WINE 2008, Shanghai, China, December 17-20, 2008. Proceedings 2008 (0) 2008
    Conference paper
    Tanmoy Chakraborty, Michael Kearns.
    Bargaining Solutions in a Social Network.
    Internet and Network Economics, 4th International Workshop, WINE 2008, Shanghai, China, December 17-20, 2008. Proceedings 2008 (0) 2008
    Conference paper
    Eyal Even-Dar, Michael Kearns, Yishay Mansour, Jennifer Wortman Vaughan.
    Regret to the best vs. regret to the average.
    Machine Learning 2008, Volume 72 (0) 2008
    Journal article
    Koby Crammer, Michael Kearns, Jennifer Wortman Vaughan.
    Learning from Multiple Sources.
    Journal of Machine Learning Research 2008, Volume 9 (0) 2008
    Conference paper
    Michael Kearns, Jinsong Tan, Jennifer Wortman Vaughan.
    Privacy-Preserving Belief Propagation and Sampling.
    Advances in Neural Information Processing Systems 20, Proceedings of the Twenty-First Annual Conference on Neural Information Processing Systems, Vancouver, British Columbia, Canada, December 3-6, 2007 2008 (0) 2007
    Conference paper
    Kuzman Ganchev, Alex Kulesza, Jinsong Tan, Ryan Gabbard, Qian Liu, Michael Kearns.
    Empirical Price Modeling for Sponsored Search.
    Internet and Network Economics, Third International Workshop, WINE 2007, San Diego, CA, USA, December 12-14, 2007, Proceedings 2007 (0) 2007
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