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Statistical Contract Theory

Algorithms, Approximation, and Learning in Market and Mechanism Design November 06, 2023 - November 09, 2023

November 09, 2023 (09:45 AM PST - 10:30 AM PST)
Speaker(s): Michael Jordan (University of California, Berkeley)
Location: SLMath: Eisenbud Auditorium, Online/Virtual
Primary Mathematics Subject Classification No Primary AMS MSC
Secondary Mathematics Subject Classification No Secondary AMS MSC
Video

Statistical Contract Theory

Abstract

Contract theory is the study of economic incentives when parties transact in the presence of information asymmetries.  We augment classical contract theory to incorporate a role for learning from data, where the overall goal of the adaptive mechanism is to obtain desired statistical behavior.  We consider applications of this framework to problems in federated learning, the delegation of data collection, and principal-agent regulatory mechanisms.

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Statistical Contract Theory

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