SDCA without Duality, Regularization, and Individual ConvexityDownload PDFOpen Website

2016 (modified: 11 Nov 2022)ICML 2016Readers: Everyone
Abstract: Stochastic Dual Coordinate Ascent is a popular method for solving regularized loss minimization for the case of convex losses. We describe variants of SDCA that do not require explicit regularizati...
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