Orthogonal Random Features

We present an intriguing discovery related to Random Fourier Features: in Gaussian kernel approximation, replacing the random Gaussian matrix by a properly scaled random orthogonal matrix significantly decreases kernel approximation error. We call this technique Orthogonal Random Features (ORF), and...

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Bibliographische Detailangaben

Hauptverfasser:	Yu, Felix X, Suresh, Ananda Theertha, Choromanski, Krzysztof, Holtmann-Rice, Daniel, Kumar, Sanjiv
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Learning Statistics - Machine Learning
Online-Zugang:	Volltext bestellen
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