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Michael Kearns

Identifiers

  • name variant Michael Kearns 0.60 · backfill

Papers (34)

  1. Replicable Reinforcement Learning with Linear Function Approximation cs.LG · 2025 · author #3
  2. Network Formation under Random Attack and Probabilistic Spread cs.GT · 2019 · author #3
  3. Equilibrium Characterization for Data Acquisition Games cs.GT · 2019 · author #4
  4. Differentially Private Fair Learning cs.LG · 2018 · author #2
  5. Fair Algorithms for Learning in Allocation Problems cs.LG · 2018 · author #4
  6. An Empirical Study of Rich Subgroup Fairness for Machine Learning cs.LG · 2018 · author #1
  7. Online Learning with an Unknown Fairness Metric cs.LG · 2018 · author #3
  8. Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness cs.LG · 2017 · author #1
  9. A Convex Framework for Fair Regression cs.LG · 2017 · author #5
  10. Fairness Incentives for Myopic Agents cs.GT · 2017 · author #2
  11. Fairness in Reinforcement Learning cs.LG · 2016 · author #3
  12. Fair Algorithms for Infinite and Contextual Bandits cs.LG · 2016 · author #2
  13. Predicting with Distributions cs.DS · 2016 · author #1
  14. Fairness in Learning: Classic and Contextual Bandits cs.LG · 2016 · author #2
  15. Robust Mediators in Large Games cs.GT · 2015 · author #1
  16. Strategic Network Formation with Attack and Immunization cs.GT · 2015 · author #3
  17. Privacy for the Protected (Only) cs.DS · 2015 · author #1
  18. Privacy and Truthful Equilibrium Selection for Aggregative Games cs.DS · 2014 · author #2
  19. Online Learning and Profit Maximization from Revealed Preferences cs.DS · 2014 · author #4
  20. A Computational Study of Feasible Repackings in the FCC Incentive Auctions cs.GT · 2014 · author #1
  21. An Information-Theoretic Analysis of Hard and Soft Assignment Methods for Clustering cs.LG · 2013 · author #1
  22. Large Deviation Methods for Approximate Probabilistic Inference cs.LG · 2013 · author #1
  23. Exact Inference of Hidden Structure from Sample Data in Noisy-OR Networks cs.AI · 2013 · author #1
  24. Nash Convergence of Gradient Dynamics in Iterated General-Sum Games cs.GT · 2013 · author #2
  25. Fast Planning in Stochastic Games cs.GT · 2013 · author #1
  26. Graphical Models for Game Theory cs.GT · 2013 · author #1
  27. Efficient Nash Computation in Large Population Games with Bounded Influence cs.GT · 2012 · author #1
  28. Budget Optimization for Sponsored Search: Censored Learning in MDPs cs.GT · 2012 · author #2
  29. Mechanism Design in Large Games: Incentives and Privacy cs.GT · 2012 · author #1
  30. Censored Exploration and the Dark Pool Problem cs.LG · 2012 · author #2
  31. Graphical Models for Bandit Problems cs.LG · 2012 · author #2
  32. Competitive Contagion in Networks cs.GT · 2011 · author #2
  33. A Clustering Coefficient Network Formation Game cs.SI · 2010 · author #2
  34. Empirical Limitations on High Frequency Trading Profitability q-fin.TR · 2010 · author #1

Mentions

  • 1407.7740 #2 · backfill · confidence 0.70 Michael Kearns
  • 1407.7294 #4 · backfill · confidence 0.70 Michael Kearns
  • 1406.4837 #1 · backfill · confidence 0.70 Michael Kearns
  • 1302.1552 #1 · backfill · confidence 0.70 Michael Kearns
  • 1301.7392 #1 · backfill · confidence 0.70 Michael Kearns
  • 1301.7391 #1 · backfill · confidence 0.70 Michael Kearns
  • 1301.3892 #2 · backfill · confidence 0.70 Michael Kearns
  • 1301.3867 #1 · backfill · confidence 0.70 Michael Kearns
  • 1301.2281 #1 · backfill · confidence 0.70 Michael Kearns
  • 1301.0577 #1 · backfill · confidence 0.70 Michael Kearns
  • 1210.4847 #2 · backfill · confidence 0.70 Michael Kearns
  • 1207.4084 #1 · backfill · confidence 0.70 Michael Kearns
  • 1205.2646 #2 · backfill · confidence 0.70 Michael Kearns
  • 1202.3782 #2 · backfill · confidence 0.70 Michael Kearns
  • 1110.6372 #2 · backfill · confidence 0.70 Michael Kearns
  • 1010.1561 #2 · backfill · confidence 0.70 Michael Kearns
  • 1007.2593 #1 · backfill · confidence 0.70 Michael Kearns

Frequent Coauthors