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We consider the classical statistical learning/regression problem, when the value of a real random variable Y is to be predicted based on the observation of another random variable X.
Gaussian measures, Cauchy measures and ϵ \epsilon -entropy
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Extremal slabs in the cube and the Laplace transform
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Introduction to nonparametric estimation
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Localized Rademacher complexities
P.L. Bartlett, O. Bousquet, and S. Mendelson · 2005
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Uniform central limit theorems
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C. Brownlees, E. Joly, and G. Lugosi · 2015
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S. Mendelson · 2015
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Sub-gausssian mean estimators
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