NIPS Proceedingsβ

Michael Kearns

11 Papers

  • Fairness in Learning: Classic and Contextual Bandits (2016)
  • Marginals-to-Models Reducibility (2013)
  • Privacy-Preserving Belief Propagation and Sampling (2007)
  • A Small World Threshold for Economic Network Formation (2006)
  • Learning from Multiple Sources (2006)
  • Learning from Data of Variable Quality (2005)
  • Economic Properties of Social Networks (2004)
  • Algorithms for Interdependent Security Games (2003)
  • A Note on the Representational Incompatibility of Function Approximation and Factored Dynamics (2002)
  • Nash Propagation for Loopy Graphical Games (2002)
  • Estimating Average-Case Learning Curves Using Bayesian, Statistical Physics and VC Dimension Methods (1991)