Seminar of Theoretical Computer Science - Maciej Skorski (1.3.2019)
Friday 1.3.2019 at 11:00, room M/213
Maciej Skorski:
Approximating Min-Max Strategies by Statistical Learning
Abstract:
Finite approximation of mixed strategies is crucial for many applications of the von Neumann min-max theorem. I will show how this problem is related to generalization bounds from machine learning, and discuss applications to game-theory, convex approximation and cryptography.

