GPy-ABCD: A Configurable Automatic Bayesian Covariance Discovery Implementation

1 code implementation • ICML Workshop AutoML 2021 • Thomas Fletcher, Alan Bundy, Kwabena Nuamah

Gaussian Processes (GPs) are a very flexible class of nonparametric models frequently used in supervised learning tasks because of their ability to fit data with very few assumptions, namely just the type of correlation (kernel) the data is expected to display.

Gaussian Processes