Gaussian Quadrature for Kernel Features Christopher De Sa Department of Computer Science Department of Computer Science Stanford University

Neural Information Processing Systems 

Kernel methods have recently attracted resurgent interest, showing performance competitive with deep neural networks in tasks such as speech recognition.