Talks
Spring 2022

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

Friday, February 11th, 2022, 10:10 am10:20 am

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Speaker: 

Ellen Vitercik (UC Berkeley)

Location: 

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.