PhD Defense: Learning and Robustness With Applications to Mechanism Design
Michael Curry
Abstract
|
|
Bio
Michael Curry is a fifth-year Ph.D. student advised by John Dickerson and Tom Goldstein and affiliated with the Center for Machine Learning. His research has focused on machine learning, adversarial robustness, and the use of ML techniques for problems in allocation and mechanism design.
This talk is organized by Tom Hurst