Recursive Estimation for Sparse Gaussian Process Regression

Manuel Schürch, Dario Azzimonti, Alessio Benavoli +1

Gaussian Processes (GPs) are powerful kernelized methods for non-parameteric regression used in many applications. However, their use is limited to a few thousand of training sampl…