Extending PAC Learning to a Strategic Classification Setting

A case study of the meeting point between game theory and fundamental concepts in machine learning

Last semester, I took a seminar in Incentives and Learning. The papers we discussed throughout the course dealt with the overlap between the fields of game theory and machine learning. I had very little familiarity with formal game theory beforehand, and I thought finding out more about it through the lens of its intersection with machine learning was fascinating. By the end of this …

case case study classification classification-algorithms concepts course fields game game theory incentives machine machine learning papers study theory thoughts-and-theory