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20232026
most citedThe Law of Parsimony in Gradient Descent for Learning Deep Linear Networks

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math.ST2026

A Concentration Inequality for the Covariance Matrix of an Arbitrary Subset of Random Vectors

Huikang Liu, Peng Wang, Laura Balzano

Concentration inequalities for sample covariance matrices are fundamental tools in high-dimensional probability. Classical results typically assume that the selected random vectors…