On the Error of Random Fourier Features

9 Jun 2015Dougal J. SutherlandJeff Schneider

Kernel methods give powerful, flexible, and theoretically grounded approaches to solving many problems in machine learning. The standard approach, however, requires pairwise evaluations of a kernel function, which can lead to scalability issues for very large datasets... (read more)

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