Truncated Kernel Stochastic Gradient Descent with General Losses and Spherical Radial Basis Functions
arXiv:2510.04237v5 Announce Type: replace
Abstract: 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, our algorithm improve…