On Kernel Derivative Approximation with Random Fourier Features

Zoltán Szabó, Bharath K. Sriperumbudur

Abstract: Random Fourier features (RFF) represent one of the most popular and wide-spread techniques in machine learning to scale up kernel algorithms. Despite the numerous successful applications of RFFs, u...