Multi-Layer Kernel Machines: Fast and Optimal Nonparametric Regression with Uncertainty Quantification

Kernel ridge regression (KRR) is widely used for nonparametric regression over reproducing kernel Hilbert spaces. It offers powerful modeling capabilities at the cost of significant computational costs, which typically require $O(n^3)$ computational time and $O(n^2)$ storage space, with the sample s...

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Hauptverfasser:	Dai, Xiaowu, Zhong, Huiying
Format:	Artikel
Sprache:	eng
Schlagworte:	Statistics - Methodology
Online-Zugang:	Volltext bestellen
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