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In this note, we provide an elementary analysis of the prediction error of ridge regression with random design.
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Learning theory estimates via integral operators and their approximations
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On early stopping in gradient descent learning
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Nonparametric stochastic approximation with large step-sizes
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The lower tail of random quadratic forms with applications to ordinary least squares
R. I. Oliveira · 2016
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Concentration inequalities and moment bounds for sample covariance operators
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Optimal rates for regularization of statistical inverse learning problems
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