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math.OC2026

Convergence Rate of the Last Iterate of Stochastic Proximal Algorithms

Kevin Kurian Thomas Vaidyan, Michael P. Friedlander, Ahmet Alacaoglu

We analyze two classical algorithms for solving additively composite convex optimization problems where the objective is the sum of a smooth term and a nonsmooth regularizer: proxi…