Talks
Spring 2022

Mechanism Design Via Machine Learning: Overfitting, Incentives, and Privacy
Friday, February 11th, 2022, 10:10 am–10:20 am
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.