On the optimization of hyperparameters in Gaussian process regression with the help of low-order high-dimensional model representation

Sergei Manzhos, Manabu Ihara

When the data are sparse, optimization of hyperparameters of the kernel in Gaussian process regression by the commonly used maximum likelihood estimation (MLE) criterion often lead…