Learning Curves of Stochastic Gradient Descent in Kernel Regression

Haihan Zhang, Weicheng Lin, Yuanshi Liu +1

This paper considers a canonical problem in kernel regression: how good are the model performances when it is trained by the popular online first-order algorithms, compared to the…