SDCA without Duality, Regularization, and Individual Convexity

4 Feb 2016Shai Shalev-Shwartz

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 regularization and do not rely on duality... (read more)

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