2016 Optimization Days
HEC Montréal, Québec, Canada, 2 — 4 May 2016
TBP Séance plénière IV / Plenary Session IV
May 3, 2016 02:00 PM – 03:00 PM
Location: Amphithéâtre Banque Nationale
1 Presentation
-
02:00 PM - 03:00 PM
The design of incentive mechanisms through statistical machine learning
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.