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In this note, we derive concentration inequalities for random vectors with subGaussian norm (a generalization of both subGaussian random vectors and norm bounded random vectors), which are tight up to logarithmic factors.
Introduction to the non-asymptotic analysis of random matrices
Roman Vershynin · 2010
Earlier work this paper cites.
User-friendly tail bounds for sums of random matrices
Joel A Tropp · 2012
Cited alongside, same era.
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