A new randomized primal-dual algorithm for convex optimization with fast last iterate convergence rates
Abstract: We develop a novel unified randomized block-coordinate primal-dual algorithm to solve a class of nonsmooth constrained convex optimization problems, which covers different existing variants and mod...
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