23 citations · 65 across the 9 of their papers we have counts for
4 papers · 1 filter
Kernel Alignment Risk Estimator: Risk Prediction from Training Data
Arthur Jacot, Berfin Şimşek, Francesco Spadaro +2
We study the risk (i.e. generalization error) of Kernel Ridge Regression (KRR) for a kernel with ridge and i.i.d. observations. For this, we introduce two objects: the Si…
On the construction of discrete fermions in the FK-Ising model
Francesco Spadaro
We consider many-point correlation functions of discrete fermions in the two-dimensional FK-Ising model and show that, despite not being commuting observable, they can be realized…
Symmetry classification of scalar Ito equations with multiplicative noise
Giuseppe Gaeta, Francesco Spadaro
We provide a symmetry classification of scalar stochastic equations with multiplicative noise. These equations can be integrated by means of the Kozlov procedure, by passing to sym…
Implicit Regularization of Random Feature Models
Arthur Jacot, Berfin Şimşek, Francesco Spadaro +2
Random Feature (RF) models are used as efficient parametric approximations of kernel methods. We investigate, by means of random matrix theory, the connection between Gaussian RF m…