Dimension-free bounds for sums of independent matrices and simple tensors via the variational principle
Author:
Affiliation:
1. Department of Statistics, UC Berkeley
Publisher
Institute of Mathematical Statistics
Subject
Statistics, Probability and Uncertainty,Statistics and Probability
Reference53 articles.
1. S. Boucheron, G. Lugosi, and P. Massart. Concentration Inequalities: A Nonasymptotic Theory of Independence. Oxford University Press, 2013.
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3. R. Adamczak. A note on the Hanson-Wright inequality for random vectors with dependencies. Electronic Communications in Probability, 20:1–13, 2015.
4. R. Adamczak, R. Latała, A. E. Litvak, K. Oleszkiewicz, A. Pajor, and N. Tomczak-Jaegermann. A short proof of Paouris’ inequality. Canadian Mathematical Bulletin, 57(1):3–8, 2014.
5. R. Adamczak, A. Litvak, A. Pajor, and N. Tomczak-Jaegermann. Quantitative estimates of the convergence of the empirical covariance matrix in log-concave ensembles. Journal of the American Mathematical Society, 23(2):535–561, 2010.
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