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The Ethereal
Solving Ridge Regression using Sketched Preconditioned SVRG
February 07, 2016 ยท Declared Dead ยท ๐ International Conference on Machine Learning
"No code URL or promise found in abstract"
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Authors
Alon Gonen, Francesco Orabona, Shai Shalev-Shwartz
arXiv ID
1602.02350
Category
cs.LG: Machine Learning
Citations
48
Venue
International Conference on Machine Learning
Last Checked
6 months ago
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.
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