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We consider the deviation inequalities for the sums of independent $d$ by $d$ random matrices, as well as rank one random tensors.
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Concentration Inequalities: A Nonasymptotic Theory of Independence
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Covariance estimation for distributions with
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Upper and Lower Bounds for Stochastic Processes: Modern Methods and Classical Problems
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Affine invariant covariance estimation for heavy-tailed distributions
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Uniform Hanson-Wright type concentration inequalities for unbounded entries via the entropy method
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