English

Solving Ridge Regression using Sketched Preconditioned SVRG

Machine Learning 2016-05-27 v2

Abstract

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.

Cite

@article{arxiv.1602.02350,
  title  = {Solving Ridge Regression using Sketched Preconditioned SVRG},
  author = {Alon Gonen and Francesco Orabona and Shai Shalev-Shwartz},
  journal= {arXiv preprint arXiv:1602.02350},
  year   = {2016}
}
R2 v1 2026-06-22T12:44:54.915Z