arXiv stat.ML
· Papers
A Variational Analysis of Kernel Learning with Learnable Linear Transformations
arXiv:2502.11665v3 Announce Type: replace Abstract: The classical kernel ridge regression problem aims to find the best fit for the output $Y$ as a function of the input data $Xin mathbb{R}^d$, with a fixed choice of regularization term imposed by a given choice of a reproducing kernel Hilbert space, such as a Sobole