SMPM is a stochastic multi-proximal method that recovers several existing algorithms as special cases and provides new linear and accelerated sublinear convergence guarantees for nonsmooth convex problems.
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The Stochastic Multi-Proximal Method for Nonsmooth Optimization
SMPM is a stochastic multi-proximal method that recovers several existing algorithms as special cases and provides new linear and accelerated sublinear convergence guarantees for nonsmooth convex problems.