Spring 2022

Mechanism Design Via Machine Learning: Overfitting, Incentives, and Privacy

Friday, Feb. 11, 2022 10:10 am10:20 am PST

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Ellen Vitercik (UC Berkeley)


Calvin Lab Auditorium

Machine learning is increasingly being used for mechanism design, with applications such as price optimization on online marketplaces and ad auction design. In this talk, I will give an overview of my research on mechanism design via machine learning, touching on statistical problems such as overfitting, incentive problems, and privacy preservation.