Computational Statistics - Convex Optimization; Winter Term 2 2021

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Short list of covered topics

This course focuses on algorithms for solving convex optimization problems and the implications for statistical estimation.

Topics include: convex sets and functions, canonical problems, first order numeric optimization, duality and KKT conditions, glimpse of 0th/2nd order methods, coordinate descent and ADMM, path algorithms and regularized statistical models