Michael Kearns
According to our database^{1},
Michael Kearns
authored at least 163 papers
between 1987 and 2020.
Collaborative distances:
Collaborative distances:
Awards
ACM Fellow
ACM Fellow 2014, "For contributions to machine learning, artificial intelligence, and algorithmic game theory and computational social science.".
Timeline
Legend:
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Homepages:

at zbmath.org

at wikidata.org

at viaf.org

at id.loc.gov

at dl.acm.org
On csauthors.net:
Bibliography
2020
Algorithms and Learning for Fair Portfolio Design.
CoRR, 2020
Differentially Private Call Auctions and Market Impact.
Proceedings of the EC '20: The 21st ACM Conference on Economics and Computation, 2020
2019
Competitive contagion in networks.
Games Econ. Behav., 2019
Optimal, Truthful, and Private Securities Lending.
CoRR, 2019
Eliciting and Enforcing Subjective Individual Fairness.
CoRR, 2019
Average Individual Fairness: Algorithms, Generalization and Experiments.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Equilibrium Characterization for Data Acquisition Games.
Proceedings of the TwentyEighth International Joint Conference on Artificial Intelligence, 2019
Network Formation under Random Attack and Probabilistic Spread.
Proceedings of the TwentyEighth International Joint Conference on Artificial Intelligence, 2019
Differentially Private Fair Learning.
Proceedings of the 36th International Conference on Machine Learning, 2019
An Empirical Study of Rich Subgroup Fairness for Machine Learning.
Proceedings of the Conference on Fairness, Accountability, and Transparency, 2019
Fair Algorithms for Learning in Allocation Problems.
Proceedings of the Conference on Fairness, Accountability, and Transparency, 2019
2018
Online Learning with an Unknown Fairness Metric.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness.
Proceedings of the 35th International Conference on Machine Learning, 2018
Meritocratic Fairness for Infinite and Contextual Bandits.
Proceedings of the 2018 AAAI/ACM Conference on AI, Ethics, and Society, 2018
2017
A Convex Framework for Fair Regression.
CoRR, 2017
Fair Algorithms for Machine Learning.
Proceedings of the 2017 ACM Conference on Economics and Computation, 2017
Fairness Incentives for Myopic Agents.
Proceedings of the 2017 ACM Conference on Economics and Computation, 2017
Meritocratic Fairness for CrossPopulation Selection.
Proceedings of the 34th International Conference on Machine Learning, 2017
Fairness in Reinforcement Learning.
Proceedings of the 34th International Conference on Machine Learning, 2017
Predicting with Distributions.
Proceedings of the 30th Conference on Learning Theory, 2017
2016
Private algorithms for the protected in social network search.
Proc. Natl. Acad. Sci. USA, 2016
Rawlsian Fairness for Machine Learning.
CoRR, 2016
Fair Learning in Markovian Environments.
CoRR, 2016
Mathematical foundations for social computing.
Commun. ACM, 2016
Strategic Network Formation with Attack and Immunization.
Proceedings of the Web and Internet Economics  12th International Conference, 2016
Fairness in Learning: Classic and Contextual Bandits.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016
Tight Policy Regret Bounds for Improving and Decaying Bandits.
Proceedings of the TwentyFifth International Joint Conference on Artificial Intelligence, 2016
2015
Privacy for the Protected (Only).
CoRR, 2015
Robust Mediators in Large Games.
CoRR, 2015
Privacy and Truthful Equilibrium Selection for Aggregative Games.
Proceedings of the Web and Internet Economics  11th International Conference, 2015
From "In" to "Over": Behavioral Experiments on WholeNetwork Computation.
Proceedings of the Third AAAI Conference on Human Computation and Crowdsourcing, 2015
Online Learning and Profit Maximization from Revealed Preferences.
Proceedings of the TwentyNinth AAAI Conference on Artificial Intelligence, 2015
2014
A Computational Study of Feasible Repackings in the FCC Incentive Auctions.
CoRR, 2014
Mechanism design in large games: incentives and privacy.
Proceedings of the Innovations in Theoretical Computer Science, 2014
PursuitEvasion Without Regret, with an Application to Trading.
Proceedings of the 31th International Conference on Machine Learning, 2014
Learning from Contagion (Without Timestamps).
Proceedings of the 31th International Conference on Machine Learning, 2014
Efficient Inference for Complex Queries on Complex Distributions.
Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014
New Models for Competitive Contagion.
Proceedings of the TwentyEighth AAAI Conference on Artificial Intelligence, 2014
2013
Nash Convergence of Gradient Dynamics in Iterated GeneralSum Games
CoRR, 2013
MarginalstoModels Reducibility.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 58, 2013
LargeScale Bandit Problems and KWIK Learning.
Proceedings of the 30th International Conference on Machine Learning, 2013
DepthWorkload Tradeoffs for Workforce Organization.
Proceedings of the First AAAI Conference on Human Computation and Crowdsourcing, 2013
2012
Experiments in social computation.
Commun. ACM, 2012
Colonel Blotto on Facebook: the effect of social relations on strategic interaction.
Proceedings of the Web Science 2012, 2012
Budget Optimization for Sponsored Search: Censored Learning in MDPs.
Proceedings of the TwentyEighth Conference on Uncertainty in Artificial Intelligence, 2012
Competitive contagion in networks.
Proceedings of the 44th Symposium on Theory of Computing Conference, 2012
Behavioral experiments on a network formation game.
Proceedings of the 13th ACM Conference on Electronic Commerce, 2012
Experiments in social computation: (and the data they generate).
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012
Learning and predicting dynamic networked behavior with graphical multiagent models.
Proceedings of the International Conference on Autonomous Agents and Multiagent Systems, 2012
2011
Bandits, Query Learning, and the Haystack Dimension.
Proceedings of the COLT 2011, 2011
Behavioral Conflict and Fairness in Social Networks.
Proceedings of the Internet and Network Economics  7th International Workshop, 2011
Graphical Models for Bandit Problems.
Proceedings of the UAI 2011, 2011
Market making and mean reversion.
Proceedings of the Proceedings 12th ACM Conference on Electronic Commerce (EC2011), 2011
A Clustering Coefficient Network Formation Game.
Proceedings of the Algorithmic Game Theory, 4th International Symposium, 2011
2010
Behavioral dynamics and influence in networked coloring and consensus.
Proc. Natl. Acad. Sci. USA, 2010
Censored exploration and the dark pool problem.
Commun. ACM, 2010
A behavioral study of bargaining in social networks.
Proceedings of the Proceedings 11th ACM Conference on Electronic Commerce (EC2010), 2010
Local Algorithms for Finding Interesting Individuals in Large Networks.
Proceedings of the Innovations in Computer Science, 2010
Private and ThirdParty Randomization in RiskSensitive Equilibrium Concepts.
Proceedings of the TwentyFourth AAAI Conference on Artificial Intelligence, 2010
2009
Behavioral experiments on biased voting in networks.
Proc. Natl. Acad. Sci. USA, 2009
Network bargaining: algorithms and structural results.
Proceedings of the Proceedings 10th ACM Conference on Electronic Commerce (EC2009), 2009
2008
Regret to the best vs. regret to the average.
Mach. Learn., 2008
Learning from Multiple Sources.
J. Mach. Learn. Res., 2008
Biased Voting and the Democratic Primary Problem.
Proceedings of the Internet and Network Economics, 4th International Workshop, 2008
Bargaining Solutions in a Social Network.
Proceedings of the Internet and Network Economics, 4th International Workshop, 2008
Behavioral experiments in networked trade.
Proceedings of the Proceedings 9th ACM Conference on Electronic Commerce (EC2008), 2008
Learning from Collective Behavior.
Proceedings of the 21st Annual Conference on Learning Theory, 2008
2007
Empirical Price Modeling for Sponsored Search.
Proceedings of the Internet and Network Economics, Third International Workshop, 2007
Sponsored Search with Contexts.
Proceedings of the Internet and Network Economics, Third International Workshop, 2007
A network formation game for bipartite exchange economies.
Proceedings of the Eighteenth Annual ACMSIAM Symposium on Discrete Algorithms, 2007
PrivacyPreserving Belief Propagation and Sampling.
Proceedings of the Advances in Neural Information Processing Systems 20, 2007
2006
Cobot in LambdaMOO: An Adaptive Social Statistics Agent.
Auton. Agents Multi Agent Syst., 2006
Networks preserving evolutionary equilibria and the power of randomization.
Proceedings of the Proceedings 7th ACM Conference on Electronic Commerce (EC2006), 2006
(In)Stability properties of limit order dynamics.
Proceedings of the Proceedings 7th ACM Conference on Electronic Commerce (EC2006), 2006
A Small World Threshold for Economic Network Formation.
Proceedings of the Advances in Neural Information Processing Systems 19, 2006
Reinforcement learning for optimized trade execution.
Proceedings of the Machine Learning, 2006
RiskSensitive Online Learning.
Proceedings of the Algorithmic Learning Theory, 17th International Conference, 2006
2005
Electronic Trading in OrderDriven Markets: Efficient Execution.
Proceedings of the 7th IEEE International Conference on ECommerce Technology (CEC 2005), 2005
Learning from Data of Variable Quality.
Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005
Trading in Markovian Price Models.
Proceedings of the Learning Theory, 18th Annual Conference on Learning Theory, 2005
2004
Competitive algorithms for VWAP and limit order trading.
Proceedings of the Proceedings 5th ACM Conference on Electronic Commerce (EC2004), 2004
Economic Properties of Social Networks.
Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004
Graphical Economics.
Proceedings of the Learning Theory, 17th Annual Conference on Learning Theory, 2004
2003
The PennLehman Automated Trading Project.
IEEE Intell. Syst., 2003
Structured interaction in game theory.
Proceedings of the 9th Conference on Theoretical Aspects of Rationality and Knowledge (TARK2003), 2003
Correlated equilibria in graphical games.
Proceedings of the Proceedings 4th ACM Conference on Electronic Commerce (EC2003), 2003
Algorithms for Interdependent Security Games.
Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003
Exploration in Metric State Spaces.
Proceedings of the Machine Learning, 2003
2002
NearOptimal Reinforcement Learning in Polynomial Time.
Mach. Learn., 2002
A Sparse Sampling Algorithm for NearOptimal Planning in Large Markov Decision Processes.
Mach. Learn., 2002
Optimizing Dialogue Management with Reinforcement Learning: Experiments with the NJFun System.
J. Artif. Intell. Res., 2002
Efficient Nash Computation in Large Population Games with Bounded Influence.
Proceedings of the UAI '02, 2002
Nash Propagation for Loopy Graphical Games.
Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002
A Note on the Representational Incompatibility of Function Approximation and Factored Dynamics.
Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002
CobotDS: A Spoken Dialogue System for Chat.
Proceedings of the Eighteenth National Conference on Artificial Intelligence and Fourteenth Conference on Innovative Applications of Artificial Intelligence, July 28, 2002
2001
ATTac2000: An Adaptive Autonomous Bidding Agent.
J. Artif. Intell. Res., 2001
Graphical Models for Game Theory.
Proceedings of the UAI '01: Proceedings of the 17th Conference in Uncertainty in Artificial Intelligence, 2001
An Efficient, Exact Algorithm for Solving TreeStructured Graphical Games.
Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001
Cobot: A Social Reinforcement Learning Agent.
Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001
Computational Game Theory and AI.
Proceedings of the KI 2001: Advances in Artificial Intelligence, 2001
A social reinforcement learning agent.
Proceedings of the Fifth International Conference on Autonomous Agents, 2001
2000
Testing Problems with Sublearning Sample Complexity.
J. Comput. Syst. Sci., 2000
Nash Convergence of Gradient Dynamics in GeneralSum Games.
Proceedings of the UAI '00: Proceedings of the 16th Conference in Uncertainty in Artificial Intelligence, Stanford University, Stanford, California, USA, June 30, 2000
Fast Planning in Stochastic Games.
Proceedings of the UAI '00: Proceedings of the 16th Conference in Uncertainty in Artificial Intelligence, Stanford University, Stanford, California, USA, June 30, 2000
A Boosting Approach to Topic Spotting on Subdialogues.
Proceedings of the Seventeenth International Conference on Machine Learning (ICML 2000), Stanford University, Stanford, CA, USA, June 29, 2000
BiasVariance Error Bounds for Temporal Difference Updates.
Proceedings of the Thirteenth Annual Conference on Computational Learning Theory (COLT 2000), June 28, 2000
Automatic Optimization of Dialogue Management.
Proceedings of the COLING 2000, 18th International Conference on Computational Linguistics, Proceedings of the Conference, 2 Volumes, July 31, 2000
Empirical Evaluation of a Reinforcement Learning Spoken Dialogue System.
Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on on Innovative Applications of Artificial Intelligence, July 30, 2000
Cobot in LambdaMOO: A Social Statistics Agent.
Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on on Innovative Applications of Artificial Intelligence, July 30, 2000
1999
Algorithmic Stability and SanityCheck Bounds for LeaveOneOut CrossValidation.
Neural Computation, 1999
On the Boosting Ability of TopDown Decision Tree Learning Algorithms.
J. Comput. Syst. Sci., 1999
Reinforcement Learning for Spoken Dialogue Systems.
Proceedings of the Advances in Neural Information Processing Systems 12, [NIPS Conference, Denver, Colorado, USA, November 29, 1999
Approximate Planning in Large POMDPs via Reusable Trajectories.
Proceedings of the Advances in Neural Information Processing Systems 12, [NIPS Conference, Denver, Colorado, USA, November 29, 1999
Efficient Reinforcement Learning in Factored MDPs.
Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence, 1999
Automatic Detection of Poor Speech Recognition at the Dialogue Level.
Proceedings of the 27th Annual Meeting of the Association for Computational Linguistics, 1999
1998
Efficient NoiseTolerant Learning from Statistical Queries.
J. ACM, 1998
Large Deviation Methods for Approximate Probabilistic Inference.
Proceedings of the UAI '98: Proceedings of the Fourteenth Conference on Uncertainty in Artificial Intelligence, 1998
Exact Inference of Hidden Structure from Sample Data in noisyOR Networks.
Proceedings of the UAI '98: Proceedings of the Fourteenth Conference on Uncertainty in Artificial Intelligence, 1998
FiniteSample Convergence Rates for QLearning and Indirect Algorithms.
Proceedings of the Advances in Neural Information Processing Systems 11, [NIPS Conference, Denver, Colorado, USA, November 30, 1998
Inference in Multilayer Networks via Large Deviation Bounds.
Proceedings of the Advances in Neural Information Processing Systems 11, [NIPS Conference, Denver, Colorado, USA, November 30, 1998
NearOptimal Reinforcement Learning in Polynominal Time.
Proceedings of the Fifteenth International Conference on Machine Learning (ICML 1998), 1998
A Fast, BottomUp Decision Tree Pruning Algorithm with NearOptimal Generalization.
Proceedings of the Fifteenth International Conference on Machine Learning (ICML 1998), 1998
Theoretical Issues in Probabilistic Artificial Intelligence.
Proceedings of the 39th Annual Symposium on Foundations of Computer Science, 1998
Testing Problems with SubLearning Sample Complexity.
Proceedings of the Eleventh Annual Conference on Computational Learning Theory, 1998
An InformationTheoretic Analysis of Hard and Soft Assignment Methods for Clustering.
Proceedings of the Learning in Graphical Models, 1998
1997
A Bound on the Error of Cross Validation Using the Approximation and Estimation Rates, with Consequences for the Trainingtest Split.
Neural Computation, 1997
An Experimental and Theoretical Comparison of Model Selection Methods.
Mach. Learn., 1997
Efficient Learning of Typical Finite Automata from Random Walks.
Inf. Comput., 1997
An InformationTheoretic Analysis of Hard and Soft Assignment Methods for Clustering.
Proceedings of the UAI '97: Proceedings of the Thirteenth Conference on Uncertainty in Artificial Intelligence, 1997
1996
Rigorous Learning Curve Bounds from Statistical Mechanics.
Mach. Learn., 1996
Applying the Waek Learning Framework to Understand and Improve C4.5.
Proceedings of the Machine Learning, 1996
Boosting Theory Towards Practice: Recent Developments in Decision Tree Induction and the Weak Learning Framework.
Proceedings of the Thirteenth National Conference on Artificial Intelligence and Eighth Innovative Applications of Artificial Intelligence Conference, 1996
1995
On the Sample Complexity of Weakly Learning
Inf. Comput., March, 1995
Computational Learning Theory.
SIGACT News, 1995
Learning from a Population of Hypotheses.
Mach. Learn., 1995
On the Complexity of Teaching.
J. Comput. Syst. Sci., 1995
Horn Approximations of Empirical Data.
Artif. Intell., 1995
Efficient Algorithms for Learning to Play Repeated Games Against Computationally Bounded Adversaries.
Proceedings of the 36th Annual Symposium on Foundations of Computer Science, 1995
1994
Toward Efficient Agnostic Learning.
Mach. Learn., 1994
Bounds on the Sample Complexity of Bayesian Learning Using Information Theory and the VC Dimension.
Mach. Learn., 1994
Efficient DistributionFree Learning of Probabilistic Concepts.
J. Comput. Syst. Sci., 1994
Cryptographic Limitations on Learning Boolean Formulae and Finite Automata.
J. ACM, 1994
Learning Boolean Formulas.
J. ACM, 1994
On the learnability of discrete distributions.
Proceedings of the TwentySixth Annual ACM Symposium on Theory of Computing, 1994
Weakly learning DNF and characterizing statistical query learning using Fourier analysis.
Proceedings of the TwentySixth Annual ACM Symposium on Theory of Computing, 1994
An Introduction to Computational Learning Theory.
MIT Press, ISBN: 9780262111935, 1994
1993
Learning in the Presence of Malicious Errors.
SIAM J. Comput., 1993
Exact Identification of ReadOnce Formulas Using Fixed Points of Amplification Functions.
SIAM J. Comput., 1993
Cryptographic Primitives Based on Hard Learning Problems.
Proceedings of the Advances in Cryptology, 1993
Reasoning With Characteristic Models.
Proceedings of the 11th National Conference on Artificial Intelligence. Washington, 1993
1992
Oblivious PAC Learning of Concept Hierarchies.
Proceedings of the 10th National Conference on Artificial Intelligence, 1992
1991
Equivalence of Models for Polynomial Learnability
Inf. Comput., December, 1991
Estimating AverageCase Learning Curves Using Bayesian, Statistical Physics and VC Dimension Methods.
Proceedings of the Advances in Neural Information Processing Systems 4, 1991
1990
Efficient Distributionfree Learning of Probabilistic Concepts (Extended Abstract)
Proceedings of the 31st Annual Symposium on Foundations of Computer Science, 1990
Exact Identification of Circuits Using Fixed Points of Amplification Functions (Extended Abstract)
Proceedings of the 31st Annual Symposium on Foundations of Computer Science, 1990
Efficient DistributionFree Learning of Probabilistic Concepts (Abstract).
Proceedings of the Third Annual Workshop on Computational Learning Theory, 1990
Exact Identification of Circuits Using Fixed Points of Amplification Functions (Abstract).
Proceedings of the Third Annual Workshop on Computational Learning Theory, 1990
On the Sample Complexity of Weak Learning.
Proceedings of the Third Annual Workshop on Computational Learning Theory, 1990
Computational complexity of machine learning.
ACM distinguished dissertations, MIT Press, ISBN: 9780262111522, 1990
1989
A General Lower Bound on the Number of Examples Needed for Learning
Inf. Comput., September, 1989
A PolynomialTime Algorithm for Learning kVariable Pattern Languages from Examples.
Proceedings of the Second Annual Workshop on Computational Learning Theory, 1989
1988
Learning in the Presence of Malicious Errors (Extended Abstract)
Proceedings of the 20th Annual ACM Symposium on Theory of Computing, 1988
1987
On the Learnability of Boolean Formulae
Proceedings of the 19th Annual ACM Symposium on Theory of Computing, 1987