Truncated Kernel Stochastic Gradient Descent with General Losses and Spherical Radial Basis Functions

Jinhui Bai, Andreas Christmann, Lei Shi

In this paper, we propose a novel kernel stochastic gradient descent (SGD) algorithm for large-scale supervised learning with general losses. Compared to traditional kernel SGD, ou…