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Lecture
Are you an EPFL student looking for a semester project?
Work with us on data science and visualisation projects, and deploy your project as an app on top of Graph Search.
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.