Umberto M Tomasini

Failure and success of the spectral bias prediction for Laplace Kernel Ridge Regression: the case of low-dimensional data

Recently, several theories including the replica method made predictions for the generalization error of Kernel Ridge Regression. In some regimes, they predict that the method has a ‘spectral bias’: decomposing the true function $f^*$ on the eigenbasis of the kernel, it fits well the coefficients as…