Ivanov-Regularised Least-Squares Estimators over Large RKHSs and Their Interpolation Spaces

zbMath1441.62178arXiv1706.03678MaRDI QIDQ5214209

Stephen Page, Steffen Grünewälder

Publication date: 7 February 2020

Full work available at URL: https://arxiv.org/abs/1706.03678

zbMATH Keywords

interpolation spaceregressionreproducing kernel Hilbert space (RKHS)Ivanov regularisationtraining and validation

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Estimation in multivariate analysis (62H12) General nonlinear regression (62J02) Numerical interpolation (65D05) Hilbert spaces with reproducing kernels (= (proper) functional Hilbert spaces, including de Branges-Rovnyak and other structured spaces) (46E22)

Related Items (3)

New method for solving Ivanov regularization-based support vector machine learning ⋮ The Goldenshluger-Lepski method for constrained least-squares estimators over RKHSs ⋮ On a regularization of unsupervised domain adaptation in RKHS

Cites Work

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