Concentration of measure for non-linear random matrices with applications to neural networks and non-commutative polynomials
Radosław Adamczak · arXiv (Cornell University) · 2025
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.