1 présentation

• 
  14h00 - 15h00

  The design of incentive mechanisms through statistical machine learning

  • David C. Parkes, prés., Harvard University

  Mechanism design studies situations where a set of agents each hold private information regarding their preferences over different outcomes. A mechanism receives claims about preferences and chooses an outcome and payments. In this talk, I draw a connection between the discriminant functions of multi-class classifiers and incentive-compatible mechanism design, enabling new applications of optimization for the design of mechanisms in settings both with and without money, including auctions, assignment and matching.