Non-asymptotic Analysis of Stochastic Methods for Non-Smooth Non-Convex Regularized Problems

Yi Xu, Rong Jin, Tianbao Yang

Feb-12-2026, 02:26:07 GMT–Neural Information Processing Systems

Stochastic Proximal Gradient (SPG) methods have been widely used for solving optimization problems with a simple (possibly non-smooth) regularizer in machine learning and statistics.

artificial intelligence, machine learning, optimization, (18 more...)

Neural Information Processing Systems

Feb-12-2026, 02:26:07 GMT

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Non-asymptotic Analysis of Stochastic Methods for Non-Smooth Non-Convex Regularized Problems

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