Double Descent Curve with Optical Random Features

Quadrature-based features for kernel approximation

A library for random feature maps in Python.

Multi-Shot Approximation of Discounted Cost MDPs

Enitor provides the MATLAB implementation of several large-scale kernel methods.

Fast Random Kernelized Features: Support Vector Machine Classification for High-Dimensional IDC Dataset

A Random Matrix Approach for Random Feature Maps

Codes and experiments for paper "Automated Spectral Kernel Learning". Preprint.

Code for the paper "The Random Feature Model for Input-Output Maps between Banach Spaces"

Codes and experiments for paper "Distributed Learning with Random Features". Preprint.

Code for the paper ``Error Bounds for Learning with Vector-Valued Random Features''

Reference implementation for our paper "Curiously Effective Features for Image Quality Prediction"