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A Single-loop Stochastic Riemannian ADMM for Nonsmooth Composite Optimization
We study a class of nonsmooth composite stochastic optimization on Riemannian manifolds, where the objective is the sum of an expectation function and a nonsmooth regularizer. These types of problems appear widely in various application fields, such as machine learning. Although operator-splitting m
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