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On Dynamics-Informed Blending of Machine Learning and Microeconomics

Series: CSA Distinguished Lecture

Speaker: Prof. Michael I. Jordan, University of California, Berkeley

Date/Time: Jul 04 10:00:00

Location: CSA Seminar Hall (Room No. 254, First Floor)

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 will discuss several recent projects
that aim to explore the interface between machine learning and microeconomics,
including leader/follower dynamics in strategic classification, a Lyapunov theory
for matching markets with transfers, and the use of contract theory as a way to
design mechanisms that perform statistical inference.

Speaker Bio:
Michael I. Jordan is the Pehong Chen Distinguished Professor at the University of California, Berkeley. His research interests bridge the computational, statistical, cognitive, biological and social sciences. Prof. Jordan is a member of the National Academy of Sciences, a member of the National Academy of Engineering, a member of the American Academy of Arts and Sciences, and a Foreign Member of the Royal Society. He is a Fellow of the American Association for the Advancement of Science. He was the inaugural winner of the World Laureates Association (WLA) Prize in 2022. He was a Plenary Lecturer at the International Congress of Mathematicians in 2018. He has received the Ulf Grenander Prize from the American Mathematical Society, the IEEE John von Neumann Medal, the IJCAI Research Excellence Award, the David E. Rumelhart Prize, and the ACM/AAAI Allen Newell Award. In 2016, Prof. Jordan was named the

Host Faculty: Prof. Chiranjib Bhattacharyya