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Projection-Free Algorithms for Nonsmooth Stochastic Convex-Concave Saddle-Point Problems
We study nonsmooth convex-concave saddle-point problems over compact convex sets, assuming access to stochastic subgradients of the payoff function. We develop single-loop projection-free algorithms that use linear minimization oracles over the primal and dual domains. Unlike prior projection-free a
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