Kernel methods;nonparametric estimation;optical computing;random features;kernel ridge regression

Kernel Computations from Large-Scale Random Features Obtained by Optical Processing Units

Approximating kernel functions with random features (RFs) has been a successful application of random projections for nonparametric estimation. However, performing random projections presents computational challenges for large-scale problems. …