AI Seminar
Obtaining statistics from selfish agents
Rafael Frongillo
Postdoctoral Researcher
Microsoft Research (NYC) 


Wednesday, October 23, 2013
4:00pm  5:15pm 3941 BBB


About the EventScoring rules are payment schemes to elicit a subjective belief, represented as a probability distribution over some disjoint outcomes, given an independent sample from the true distribution. A relatively recent literature explores the more general question of eliciting a statistic, or property, of a distribution. We will go back to the roots of this literature, starting with Savage in 1971, and trace it to the present, culminating in some open problems and preliminary progress for general vectorvalued properties. If time allows, we'll also explore some connections to prediction markets and mechanism design. 
BiographyRafael Frongillo is a postdoc at MSRNYC. He earned his Ph.D. at UC Berkeley, advised by Christos Papadimitriou and supported by the NDSEG fellowship. His research lies broadly in algorithmic economics, drawing techniques from game theory, convex analysis, machine learning, and dynamical systems. http://www.cs.berkeley.edu/~raf/ 
Additional Information
Contact: Jacob Abernethy
Email: jabernet@umich.edu
Event Sponsor: CSE
Open to: Public


