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

Code for the paper "The Random Feature Model for Input-Output Maps between Banach Spaces" (SIREV SIGEST 2024, SISC 2021)

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

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

Code for the paper ``Error Bounds for Learning with Vector-Valued Random Features'' (NeurIPS 2023, Spotlight)

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