Accelerated Proximal Stochastic Dual Coordinate Ascent for Regularized Loss Minimization Shai ShalevShwartz SHAIS CS HUJI AC IL School of Computer Science and Engineering The Hebrew University Jerusa
Beijing China Abstract We introduce a proximal version of the stochas tic dual coordinate ascent method and show how to accelerate the method using an innerouter it eration procedure We analyze the runtime of the framework and obtain rates that impr
Embed this Presentation
Available Downloads
Download Notice
Download Presentation The PPT/PDF document "Accelerated Proximal Stochastic Dual Coo..." is the property of its rightful owner. Permission is granted to download and print the materials on this website for personal, non-commercial use only, and to display it on your personal computer provided you do not modify the materials and that you retain all copyright notices contained in the materials. By downloading content from our website, you accept the terms of this agreement.