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Variable Smoothing for Convex Optimization Problems Using Stochastic Gradients

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We aim to solve a structured convex optimization problem, where a nonsmooth function is composed with a linear operator. When opting for full splitting schemes, usually, primal-dual type methods are employed as they are effective and also well studied. However... ...