Hartline Delivers Lecture at IfI Summer School on Machine Learning

He discussed "Machine Learning in Market Design" at the week-long event for PhD students and research assistants.

Prof. Jason Hartline

Prof. Jason Hartline delivered a six hour lecture at the IfI Summer School 2018 on Machine Learning last week on Thursday, June 28 at the University of Zurich in Zürich, Switzerland. He discussed "Machine Learning in Market Design" at the week-long event for PhD students and research assistants in informatics and related fields, where invited experts taught a number of different topics in day-long courses on Machine Learning.

Course Description: This course covers machine learning and mechanism design in the context of online markets.  In online markets; which include auctions, ride-sharing, online dating, advertising, and other applications; a market maker aims to provide a market mechanism that achieves good market outcomes even under the expectation of strategization on the part of the participants in the market.  The main themes of the course are a review of mechanism design, the role of machine learning in the design of mechanisms, and the role of machine learning in the participants’ optimization of their strategies.  Topics include: auction theory, game theoretic equilibrium, econometric inference, sample complexity, and expert and multi-armed bandit algorithms.