Scalable Kernel Methods via Doubly Stochastic Gradients

Bo Dai, Bo Xie, Niao He +4

The general perception is that kernel methods are not scalable, and neural nets are the methods of choice for nonlinear learning problems. Or have we simply not tried hard enough f…