Lecture
This lecture covers stochastic subgradient methods, composite convex minimization, and sparse regression in generalized linear models. It introduces proximal operators, proximal gradient methods, and Frank-Wolfe methods. The instructor discusses the convergence analysis of these methods and their applications in various optimization problems.