Rustagi Lecture: Michael I Jordan

Image
MIJordan-2
April 7, 2022
3:00PM - 4:00PM
Location
EA 170

Date Range
Add to Calendar 2022-04-07 15:00:00 2022-04-07 16:00:00 Rustagi Lecture: Michael I Jordan   Map direction to the entrance for seminar room Zoom link for live streaming Speaker: Michael I Jordan, Department of EECS & Department of Statistics, University of California, Berkeley Title: On Dynamics-Informed Blending of Machine Learning and Game Theory Abstract: Statistical decisions are often given meaning in the context of other decisions, particularly when there are scarce resources to be shared.  Managing such sharing is one of the classical goals of microeconomics, and it is given new relevance in the modern setting of large, human-focused datasets, and in data-analytic contexts such as classifiers and recommendation systems.  I'll discuss several recent projects that aim to explore the interface between machine learning and microeconomics, including leader/follower dynamics in strategic classification, the robust learning of optimal auctions, and a Lyapunov theory for matching markets with transfers. EA 170 Department of Statistics stat@osu.edu America/New_York public
Description

 

Map direction to the entrance for seminar room

Zoom link for live streaming

Speaker: Michael I Jordan, Department of EECS & Department of Statistics, University of California, Berkeley

Title: On Dynamics-Informed Blending of Machine Learning and Game Theory

Abstract:

Statistical decisions are often given meaning in the context of other decisions,
particularly when there are scarce resources to be shared.  Managing such sharing
is one of the classical goals of microeconomics, and it is given new relevance in
the modern setting of large, human-focused datasets, and in data-analytic contexts
such as classifiers and recommendation systems.  I'll discuss several recent projects
that aim to explore the interface between machine learning and microeconomics,
including leader/follower dynamics in strategic classification, the robust learning
of optimal auctions, and a Lyapunov theory for matching markets with transfers.