Double Descent Curve with Optical Random Features

A library for random feature maps in Python.

Quadrature-based features for kernel approximation

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

Multi-Shot Approximation of Discounted Cost MDPs

A Random Matrix Approach for Random Feature Maps

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

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

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

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

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

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

Optimized PyTorch implementation of General Graph Random Features (g-GRFs) with >10x speedup over the official code.