Tutorial on Random Matrix Advances in Large Dimensional Statistics, Machine Learning and Neural Nets
Date:
Kernel random matrices and applications (analysis and improvement) to sampling, kernels and sparse covariance estimation, spectral clustering, semi-supervised learning, random feature maps, neural networks, universality considerations. [slides]