MCMC methods for Gaussian process models using fast approximations for the likelihood

Chunyi Wang, Radford M. Neal

Gaussian Process (GP) models are a powerful and flexible tool for non-parametric regression and classification. Computation for GP models is intensive, since computing the posterio…