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Algorithmic Game Theory and Learning

Speaker:Constantinos Daskalakis



Room :A56


Abstract:Game Theory and Learning have enjoyed a long history of interactions over 60+ years. In this talk, I will discuss one of their earliest interactions, providing a counter-example to Karlin's conjecture on the convergence rate of fictitious play. In the second part of the talk, I will present a novel point of interaction between the two fields, developing statistical learning algorithms for learning from strategic data sources.

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