Michael Jordan

A Compositional Kernel Model for Feature Learning

This model provides a tractable setting for studying feature learning in compositional architectures and shows how relevant variables are recovered while noise variables are eliminated, and proves that both global minimizers and stationary points discard noise coordinates when the noise variables are Gaussian distribut...