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most citedOut-of-Distribution Generalization of In-Context Learning: A Low-Dimensional Subspace Perspective

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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…