We address the problem of denoising data from a Gaussian mixture using a...
This manuscript considers the problem of learning a random Gaussian netw...
We consider the problem of learning a target function corresponding to a...
In this manuscript, we consider the problem of kernel classification und...
In this manuscript we consider Kernel Ridge Regression (KRR) under the
G...
Teacher-student models provide a powerful framework in which the typical...
Active learning is a branch of machine learning that deals with problems...