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most citedA Theoretical Analysis of the Test Error of Finite-Rank Kernel Ridge Regression

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A Theoretical Analysis of the Test Error of Finite-Rank Kernel Ridge Regression

Tin Sum Cheng, Aurelien Lucchi, Ivan Dokmanić +2

Existing statistical learning guarantees for general kernel regressors often yield loose bounds when used with finite-rank kernels. Yet, finite-rank kernels naturally appear in sev…