Minimax bounds for sparse PCA with noisy high-dimensional data
We study the problem of estimating the leading eigenvectors of a high-dimensional population covariance matrix based on independent Gaussian observations. We establish a lower b...
We study the problem of estimating the leading eigenvectors of a high-dimensional population covariance matrix based on independent Gaussian observations. We establish a lower b...
We provide a framework for structural multiscale geometric organization of graphs and subsets of \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepack...
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