Lecture

Primal-dual Optimization: Fundamentals

Description

This lecture covers the basics of primal-dual optimization, focusing on minimax problems and the algorithms used to solve them. Topics include the minimax formulation, saddle points, gradient descent-ascent methods, and the performance of optimization algorithms. The instructor delves into the concepts of strong duality, Slater's condition, and the practical implications of these optimization techniques.

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