Reproducing Kernel Banach Spaces with the ℓ1 Norm II: Error Analysis for Regularized Least Square Regression

Concentration estimates for learning with ℓ1-regularizer and data dependent hypothesis spaces

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Frames, Riesz bases, and sampling expansions in Banach spaces via semi-inner products

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Least square regression with indefinite kernels and coefficient regularization

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Approximation of high-dimensional kernel matrices by multilevel circulant matrices

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Least Square Regression with lp-Coefficient Regularization

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Regularized least square regression with dependent samples

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