Deformed semicircle law and concentration of nonlinear random matrices for ultra-wide neural networks

20 September 2021

Papers citing "Deformed semicircle law and concentration of nonlinear random matrices for ultra-wide neural networks"

5 / 55 papers shown

Title
Generalization Properties of Learning with Random Features Alessandro Rudi Lorenzo Rosasco MLT 68 331 0 14 Feb 2016
CLT for linear spectral statistics of normalized sample covariance matrices with the dimension much larger than the sample size Binbin Chen G. Pan 51 24 0 01 Jun 2015
$Limiting spectral distribution of renormalized separable sample covariance matrices when $p/n\to 0$$ Limiting spectral distribution of renormalized separable sample covariance matrices when $p/n\to 0$ Lili Wang D. Paul 54 35 0 08 Aug 2013
Convergence of the largest eigenvalue of normalized sample covariance matrices when p and n both tend to infinity with their ratio converging to zero B. Chen G. Pan 53 33 0 23 Nov 2012
Sharp analysis of low-rank kernel matrix approximations Francis R. Bach 158 282 0 09 Aug 2012