Robust, randomized preconditioning for kernel ridge regression

Mateo Díaz, Mateo Díaz, Ethan N. Epperly +3

We investigate preconditioned conjugate gradient methods for kernel ridge regression (KRR) problems with a moderate to large number of data points ($10^4\le N\le 10^7$). We dev…