ICML 2016Poster

Solving Ridge Regression using Sketched Preconditioned SVRG

作者: Alon Gonen, Francesco Orabona, Shai Shalev-Shwartz

摘要

We develop a novel preconditioning method for ridge regression, based on recent linear sketching methods. By equipping Stochastic Variance Reduced Gradient (SVRG) with this preconditioning process, we obtain a significant speed-up relative to fast stochastic methods such as SVRG, SDCA and SAG.

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