Concentration of measure for non-linear random matrices with applications to neural networks and non-commutative polynomials

Abstract

We prove concentration inequalities for several models of non-linear random matrices. As corollaries we obtain estimates for linear spectral statistics of the conjugate kernel of neural networks and non-commutative polynomials in (possibly dependent) random matrices.

Some typos fixed (and some new probably introduced), small editorial changes