Min-Max Optimization - Part I

Explore the fundamentals of min-max optimization in this lecture from the Learning and Games Boot Camp. Delve into equilibrium computation, adversarial gradient descent, and zero-sum games as Constantinos Daskalakis from MIT guides you through the intersection of classical optimization techniques and deep learning. Gain insights into the applications of these concepts in modern machine learning and game theory, comparing traditional approaches with contemporary deep learning methodologies.