Gaussian processes provide an elegant framework for specifying prior and...
Gaussian process priors are a popular choice for Bayesian analysis of
re...
Kernel selection plays a central role in determining the performance of
...
In the univariate setting, using the kernel spectral representation is a...
Gaussian Process (GPs) models are a rich distribution over functions wit...