Michael Kearns 's AcademicInfluence.com Rankings Michael Kearns 's Degrees Similar Degrees You Can Earn Why Is Michael Kearns Influential? (Suggest an Edit or Addition)
According to Wikipedia , Michael Justin Kearns is an American computer scientist, professor and National Center Chair at the University of Pennsylvania, the founding director of Penn's Singh Program in Networked & Social Systems Engineering , the founding director of Warren Center for Network and Data Sciences, and also holds secondary appointments in Penn's Wharton School and department of Economics. He is a leading researcher in computational learning theory and algorithmic game theory, and interested in machine learning, artificial intelligence, computational finance, algorithmic trading, computational social science and social networks. He previously led the Advisory and Research function in Morgan Stanley's Artificial Intelligence Center of Excellence team, and is currently an Amazon Scholar within Amazon Web Services.
(See a Problem?) Michael Kearns 's Published Works
Number of citations in a given year to any of this author's works
Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author
2000 2010 2020 0 125 250 375 500 625 750 875 1000 1125 1250 1375 1500 1625 Published Works Near-Optimal Reinforcement Learning in Polynomial Time (1998) Fairness in Criminal Justice Risk Assessments: The State of the Art (2017) Graphical Models for Game Theory (2001) (671)Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness (2017) (543)Optimizing Dialogue Management with Reinforcement Learning: Experiments with the NJFun System (2011) Fairness in Learning: Classic and Contextual Bandits (2016) (390)Learning from Multiple Sources (2006) An Experimental Study of the Coloring Problem on Human Subject Networks (2006) Nash Convergence of Gradient Dynamics in General-Sum Games (2000) (297)Reinforcement Learning for Spoken Dialogue Systems (1999) (262)Finite-Sample Convergence Rates for Q-Learning and Indirect Algorithms (1998) (257)Competitive contagion in networks (2011) A Convex Framework for Fair Regression (2017) (247)Reinforcement learning for optimized trade execution (2006) Mechanism design in large games: incentives and privacy (2012) Fairness in Reinforcement Learning (2016) (150)Behavioral experiments on biased voting in networks (2009) A social reinforcement learning agent (2001) Exploration in Metric State Spaces (2003) (136)An Empirical Study of Rich Subgroup Fairness for Machine Learning (2018) Online Learning with an Unknown Fairness Metric (2018) (128)Behavioral dynamics and influence in networked coloring and consensus (2010) ATTac-2000: an adaptive autonomous bidding agent (2001) The Penn-Lehman Automated Trading Project (2003) Correlated equilibria in graphical games (2003) Algorithms for Interdependent Security Games (2003) (98)Differentially Private Fair Learning (2018) (97)Economic Properties of Social Networks (2004) (96)Bias-Variance Error Bounds for Temporal Difference Updates (2000) (90)Budget Optimization for Sponsored Search: Censored Learning in MDPs (2012) (88)Nash Propagation for Loopy Graphical Games (2002) (87)Automatic Optimization of Dialogue Management (2000) Automatic Detection of Poor Speech Recognition at the Dialogue Level (1999) Experiments in social computation (2012) Rawlsian Fairness for Machine Learning (2016) (78)Cobot in LambdaMOO: A Social Statistics Agent (2000) (76)Fair Algorithms for Learning in Allocation Problems (2018) Censored exploration and the dark pool problem (2009) Competitive algorithms for VWAP and limit order trading (2004) Graphical Games (2007) Cobot in LambdaMOO: An Adaptive Social Statistics Agent (2006) Average Individual Fairness: Algorithms, Generalization and Experiments (2019) (61)Graphical Economics (2004) Eliciting and Enforcing Subjective Individual Fairness (2019) (55)Empirical Evaluation of a Reinforcement Learning Spoken Dialogue System (2000) (49)Empirical Limitations on High Frequency Trading Profitability (2010) Fair Algorithms for Infinite and Contextual Bandits (2016) (48)Machine Learning for Market Microstructure and High Frequency Trading (2013) (46)Local Algorithms for Finding Interesting Individuals in Large Networks (2010) (46)Market making and mean reversion (2011) Meritocratic Fairness for Cross-Population Selection (2017) (43)Empirical Limitations on High-Frequency Trading Profitability (2010) Behavioral experiments in networked trade (2008) Fairness Incentives for Myopic Agents (2017) Tight Policy Regret Bounds for Improving and Decaying Bandits (2016) (39)Behavioral experiments on a network formation game (2011) Meritocratic Fairness for Infinite and Contextual Bandits (2018) A Boosting Approach to Topic Spotting on Subdialogues (2000) (38)Sponsored Search with Contexts (2007) Privacy and Truthful Equilibrium Selection for Aggregative Games (2014) Cobot: A Social Reinforcement Learning Agent (2001) (36)NJFun- A Reinforcement Learning Spoken Dialogue System (2000) A network formation game for bipartite exchange economies (2007) (36)Regret to the best vs. regret to the average (2007) Empirical Price Modeling for Sponsored Search (2007) Risk-Sensitive Online Learning (2006) An Efficient Exact Algorithm for Singly Connected Graphical Games (2002) (35)Learning from Data of Variable Quality (2005) (35)A Clustering Coefficient Network Formation Game (2010) Online Learning and Profit Maximization from Revealed Preferences (2014) Strategic Network Formation with Attack and Immunization (2015) A behavioral study of bargaining in social networks (2010) Fair Learning in Markovian Environments (2016) (31)The Law of Real Property (1993) Private algorithms for the protected in social network search (2016) An Efficient, Exact Algorithm for Solving Tree-Structured Graphical Games (2001) (29)Network bargaining: algorithms and structural results (2009) Biased Voting and the Democratic Primary Problem (2008) Algorithmic Game Theory: Graphical Games (2007) Differentially Private Query Release Through Adaptive Projection (2021) (24)Learning from Contagion (Without Timestamps) (2014) (23)Electronic trading in order-driven markets: efficient execution (2005) Privacy-Preserving Belief Propagation and Sampling (2007) (23)Bandits, Query Learning, and the Haystack Dimension (2011) (22)Colonel Blotto on Facebook: the effect of social relations on strategic interaction (2012) An Algorithmic Framework for Fairness Elicitation (2020) Graphical Models for Bandit Problems (2011) (20)A Small World Threshold for Economic Network Formation (2006) Networks preserving evolutionary equilibria and the power of randomization (2006) Bargaining Solutions in a Social Network (2008) A Note on the Representational Incompatibility of Function Approximation and Factored Dynamics (2002) (16)Mixed Differential Privacy in Computer Vision (2022) Mathematical foundations for social computing (2016) Fair Algorithms for Machine Learning (2017) Convergent Algorithms for (Relaxed) Minimax Fairness (2020) (15)Learning from Collective Behavior (2008) (14)Large-Scale Bandit Problems and KWIK Learning (2013) (13)Marginals-to-Models Reducibility (2013) (12)Proceedings of the 6th ACM conference on Electronic commerce (2005) Behavioral Conflict and Fairness in Social Networks (2011) Proceedings of the fourteenth ACM Conference on Electronic Commerce, EC 2013, Philadelphia, PA, USA, June 16-20, 2013 (2013) Ethical algorithm design (2020) Learning and predicting dynamic networked behavior with graphical multiagent models (2012) (10)Trading in Markovian Price Models (2005) Depth-Workload Tradeoffs for Workforce Organization (2013) CobotDS: a spoken dialogue system for chat (2002) (9)A Computational Study of Feasible Repackings in the FCC Incentive Auctions (2014) An Algorithmic Framework for Bias Bounties (2022) (In)Stability properties of limit order dynamics (2006) Multiaccurate Proxies for Downstream Fairness (2021) New Models for Competitive Contagion (2014) Privacy for the Protected (Only) (2015) (6)Network Formation under Random Attack and Probabilistic Spread (2019) Algorithms and Learning for Fair Portfolio Design (2020) The effects of network topology on strategic behavior (2007) (4)Network-Faithful Secure Computation (2007) (4)Robust Mediators in Large Games (2015) (4)Differentially Private Call Auctions and Market Impact (2020) Private Equilibrium Release, Large Games, and No-Regret Learning (2012) (4)Predicting with Distributions (2016) (4)Lexicographically Fair Learning: Algorithms and Generalization (2021) Equilibrium Characterization for Data Acquisition Games (2019) Beyond the Frontier: Fairness Without Accuracy Loss (2022) (3)Private and Third-Party Randomization in Risk-Sensitive Equilibrium Concepts (2010) Nash Convergence of Gradient Dynamics in Iterated General-Sum Games (2013) (3)Economics , Computer Science , and Policy Cross-fertilization of ideas and techniques between economics and computer science is yielding fresh insights that can help inform policy decisions (3)Optimized Execution via Order Book Simulation (2005) Pursuit-Evasion Without Regret, with an Application to Trading (2014) (2)Fair Algorithms for Infinite Contextual Bandits ∗ (2017) (2)Learning and Predicting Dynamic Behavior with Graphical Multiagent Models (2012) (1)Better Fair Algorithms for Contextual Bandits ∗ (2017) (1)Optimal, truthful, and private securities lending (2019) Confidence-ranked reconstruction of census microdata from published statistics (2022) Multicalibrated Regression for Downstream Fairness (2022) Bargaining and pricing in networked economic systems (2011) (1)Efficient Inference for Complex Queries on Complex Distributions (2014) (1)From "In" to "Over": Behavioral Experiments on Whole-Network Computation (2015) Se p 20 10 Empirical Limitations on High Frequency Trading Profitability (2010) (1)Proceedings 6th ACM Conference on Electronic Commerce (EC-2005), Vancouver, BC, Canada, June 5-8, 2005 (2005) Behavioral Graph Coloring (0)Session details: Session 3: 14:00--14:10 (2014) Learning from collective preferences, behavior, and beliefs (2009) (0)Sponsored Search and the Exploration-Exploitation-Outsourcing Dilemma (2009) (0)Analysis of Trade on Complex Networks (2008) (0)T R ] 1 5 Ju l 2 01 0 Empirical Limitations on High Frequency Trading Profitability (2010) (0)Solutions for Homework 2 Networked Life , Fall 2014 Prof (0)Learning and strategic asset allocation (2016) (0)Learning and Predicting Dynamic Network Behavior with Graphical Multiagent Models ( Extended Abstract ) (2011) (0)A low-regret , di � erentially-private price individualization framework (2021) (0)Selfish Routing in Social Networks (2004) (0)Improved Differentially Private Regression via Gradient Boosting (2023) 1 Behavioral Experiments on Competitive Contagion (2015) (0)Reply to Sanchéz et al.: Multiplicity does not protect privacy (2023) Experiments in social computation: (and the data they generate) (2012) Machine Learning for Multi-Cell Human Intent Inference (2005) (0)Predicting Networked Strategic Behavior via Machine Learning and Game Theory (2015) (0)Quantitative Analysis of Milks and Wheats (2008) (0)Structured interaction in game theory (2003) An AI Analysis of Networked Trade (2008) (0)Representation and Learning in Computational Game Theory (2003) (0)G T ] 1 1 D ec 2 01 5 Robust Mediators in Large Games ∗ (2018) (0)Computational Game Theory and AI (2001) Networked Life: Module CIS 112, University of Pennsylvania, Spring 2008 (2008) (0)More Papers This paper list is powered by the following services:
Other Resources About Michael Kearns What Schools Are Affiliated With Michael Kearns ? Michael Kearns is affiliated with the following schools:
