Stochastic Low-Rank Kernel Learning for Regression

Pierre Machart, Thomas Peel, Liva Ralaivola +2

We present a novel approach to learn a kernel-based regression function. It is based on the useof conical combinations of data-based parameterized kernels and on a new stochastic c…