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 Event

Scoring 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 vector-valued properties. If time allows, we'll also explore some connections to prediction markets and mechanism design.

Biography

Rafael Frongillo is a postdoc at MSR-NYC. 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