The Kernelized Stochastic Batch Perceptron

Andrew Cotter, Shai Shalev-Shwartz, Nathan Srebro

Abstract: We present a novel approach for training kernel Support Vector Machines, establish learning runtime guarantees for our method that are better then those of any other known kernelized SVM optimization approach, and show that our method works well in practice compared to existing alternatives.