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Title |
Venue |
Rating |
Date |
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Journal article
Michael Kearns, Lawrence K. Saul.
Large Deviation Methods for Approximate Probabilistic Inference
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CoRR 2013, Volume 0 |
(0)
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2013 |
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Journal article
Michael Kearns, Yishay Mansour, Satinder P. Singh.
Fast Planning in Stochastic Games
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CoRR 2013, Volume 0 |
(0)
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2013 |
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Journal article
Satinder P. Singh, Michael Kearns, Yishay Mansour.
Nash Convergence of Gradient Dynamics in Iterated General-Sum Games
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CoRR 2013, Volume 0 |
(0)
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2013 |
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Journal article
Michael Kearns, Michael L. Littman, Satinder P. Singh.
Graphical Models for Game Theory
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CoRR 2013, Volume 0 |
(0)
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2013 |
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Journal article
Michael Kearns, Yishay Mansour.
Efficient Nash Computation in Large Population Games with Bounded Influence
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CoRR 2013, Volume 0 |
(0)
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2013 |
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Journal article
Michael Kearns, Yishay Mansour.
Exact Inference of Hidden Structure from Sample Data in Noisy-OR Networks
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CoRR 2013, Volume 0 |
(0)
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2013 |
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Journal article
Michael Kearns, Yishay Mansour, Andrew Y. Ng.
An Information-Theoretic Analysis of Hard and Soft Assignment Methods for Clustering
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CoRR 2013, Volume 0 |
(0)
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2013 |
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Conference paper
Sanjeev Goyal, Michael Kearns.
Competitive contagion in networks.
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Proceedings of the 44th Symposium on Theory of Computing Conference, STOC 2012, New York, NY, USA, May 19 - 22, 2012 2012 |
(0)
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2012 |
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Conference paper
Michael Kearns, J. Stephen Judd, Yevgeniy Vorobeychik.
Behavioral experiments on a network formation game.
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ACM Conference on Electronic Commerce, EC '12, Valencia, Spain, June 4-8, 2012 2012 |
(0)
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2012 |
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Conference paper
Michael Kearns.
Experiments in social computation: (and the data they generate).
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The 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD '12, Beijing, China, August 12-16, 2012 2012 |
(0)
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2012 |
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Conference paper
Quang Duong, Michael P. Wellman, Satinder P. Singh, Michael Kearns.
Learning and predicting dynamic networked behavior with graphical multiagent models.
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International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2012, Valencia, Spain, June 4-8, 2012 (3 Volumes) 2012 |
(0)
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2012 |
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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.
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(0)
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2012 |
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Conference paper
Kareem Amin, Michael Kearns, Umar Syed.
Graphical Models for Bandit Problems
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CoRR 2012, Volume 0 |
(0)
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2012 |
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Conference paper
Kuzman Ganchev, Michael Kearns, Yuriy Nevmyvaka, Jennifer Wortman Vaughan.
Censored Exploration and the Dark Pool Problem
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CoRR 2012, Volume 0 |
(0)
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2012 |
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Conference paper
Michael Kearns, Mallesh M. Pai, Aaron Roth, Jonathan Ullman.
Mechanism Design in Large Games: Incentives and Privacy
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CoRR 2012, Volume 0 |
(0)
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2012 |
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Conference paper
Michael Kearns.
Experiments in social computation.
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Commun. ACM 2012, Volume 55 |
(0)
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2012 |
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Conference paper
Kareem Amin, Michael Kearns, Peter Key, Anton Schwaighofer.
Budget Optimization for Sponsored Search: Censored Learning in MDPs.
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Proceedings of the Twenty-Eighth Conference on Uncertainty in Artificial Intelligence, Catalina Island, CA, USA, August 14-18, 2012 2012 |
(0)
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2012 |
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Journal article
Kareem Amin, Michael Kearns, Peter Key, Anton Schwaighofer.
Budget Optimization for Sponsored Search: Censored Learning in MDPs
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CoRR 2012, Volume 0 |
(0)
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2012 |
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Conference paper
Tanmoy Chakraborty, Michael Kearns.
Market making and mean reversion.
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Proceedings 12th ACM Conference on Electronic Commerce (EC-2011), San Jose, CA, USA, June 5-9, 2011 2011 |
(0)
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2011 |
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Conference paper
Mickey Brautbar, Michael Kearns.
A Clustering Coefficient Network Formation Game.
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Algorithmic Game Theory, 4th International Symposium, SAGT 2011, Amalfi, Italy, October 17-19, 2011. Proceedings 2011 |
(0)
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2011 |
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Conference paper
J. Stephen Judd, Michael Kearns, Yevgeniy Vorobeychik.
Behavioral Conflict and Fairness in Social Networks.
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Internet and Network Economics - 7th International Workshop, WINE 2011, Singapore, December 11-14, 2011. Proceedings 2011 |
(0)
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2011 |
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Conference paper
Sanjeev Goyal, Michael Kearns.
Competitive Contagion in Networks
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CoRR 2011, Volume 0 |
(0)
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2011 |
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Conference paper
Kareem Amin, Michael Kearns, Umar Syed.
Graphical Models for Bandit Problems.
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UAI 2011, Proceedings of the Twenty-Seventh Conference on Uncertainty in Artificial Intelligence, Barcelona, Spain, July 14-17, 2011 2011 |
(0)
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2011 |
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Journal article
Kareem Amin, Michael Kearns, Umar Syed.
Bandits, Query Learning, and the Haystack Dimension.
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Journal of Machine Learning Research - Proceedings Track 2011, Volume 19 |
(0)
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2011 |
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Conference paper
Tanmoy Chakraborty, J. Stephen Judd, Michael Kearns, Jinsong Tan.
A behavioral study of bargaining in social networks.
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Proceedings 11th ACM Conference on Electronic Commerce (EC-2010), Cambridge, Massachusetts, USA, June 7-11, 2010 2010 |
(0)
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2010 |
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Conference paper
Mickey Brautbar, Michael Kearns, Umar Syed.
Private and Third-Party Randomization in Risk-Sensitive Equilibrium Concepts.
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Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, AAAI 2010, Atlanta, Georgia, USA, July 11-15, 2010 2010 |
(0)
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2010 |
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Conference paper
Mickey Brautbar, Michael Kearns.
Local Algorithms for Finding Interesting Individuals in Large Networks.
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Innovations in Computer Science - ICS 2010, Tsinghua University, Beijing, China, January 5-7, 2010. Proceedings 2010 |
(0)
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2010 |
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Journal article
Mickey Brautbar, Michael Kearns.
A Clustering Coefficient Network Formation Game
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CoRR 2010, Volume 0 |
(0)
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2010 |
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Conference paper
Kuzman Ganchev, Yuriy Nevmyvaka, Michael Kearns, Jennifer Wortman Vaughan.
Censored exploration and the dark pool problem.
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Commun. CACM 2010, Volume 53 |
(0)
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2010 |
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Conference paper
Kuzman Ganchev, Michael Kearns, Yuriy Nevmyvaka, Jennifer Wortman Vaughan.
Censored Exploration and the Dark Pool Problem.
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UAI 2009, Proceedings of the Twenty-Fifth Conference on Uncertainty in Artificial Intelligence, Montreal, QC, Canada, June 18-21, 2009 2009 |
(0)
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2009 |
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Conference paper
Tanmoy Chakraborty, Michael Kearns, Sanjeev Khanna.
Network bargaining: algorithms and structural results.
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Proceedings 10th ACM Conference on Electronic Commerce (EC-2009), Stanford, California, USA, July 6--10, 2009 2009 |
(0)
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2009 |
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Conference paper
Michael Kearns, Jennifer Wortman Vaughan.
Learning from Collective Behavior.
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21st Annual Conference on Learning Theory - COLT 2008, Helsinki, Finland, July 9-12, 2008 2008 |
(0)
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2008 |
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Conference paper
J. Stephen Judd, Michael Kearns.
Behavioral experiments in networked trade.
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Proceedings 9th ACM Conference on Electronic Commerce (EC-2008), Chicago, IL, USA, June 8-12, 2008 2008 |
(0)
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2008 |
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Conference paper
Michael Kearns, Jinsong Tan.
Biased Voting and the Democratic Primary Problem.
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Internet and Network Economics, 4th International Workshop, WINE 2008, Shanghai, China, December 17-20, 2008. Proceedings 2008 |
(0)
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2008 |
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Conference paper
Tanmoy Chakraborty, Michael Kearns.
Bargaining Solutions in a Social Network.
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Internet and Network Economics, 4th International Workshop, WINE 2008, Shanghai, China, December 17-20, 2008. Proceedings 2008 |
(0)
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2008 |
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Conference paper
Eyal Even-Dar, Michael Kearns, Yishay Mansour, Jennifer Wortman Vaughan.
Regret to the best vs. regret to the average.
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Machine Learning 2008, Volume 72 |
(0)
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2008 |
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Journal article
Koby Crammer, Michael Kearns, Jennifer Wortman Vaughan.
Learning from Multiple Sources.
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Journal of Machine Learning Research 2008, Volume 9 |
(0)
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2008 |
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Conference paper
Michael Kearns, Jinsong Tan, Jennifer Wortman Vaughan.
Privacy-Preserving Belief Propagation and Sampling.
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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)
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2007 |
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Conference paper
Kuzman Ganchev, Alex Kulesza, Jinsong Tan, Ryan Gabbard, Qian Liu, Michael Kearns.
Empirical Price Modeling for Sponsored Search.
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Internet and Network Economics, Third International Workshop, WINE 2007, San Diego, CA, USA, December 12-14, 2007, Proceedings 2007 |
(0)
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2007 |