2017
Spectral Mixture Kernels for Multi-Output Gaussian Processes
NeurIPS 2017poster
Early approaches to multiple-output Gaussian processes (MOGPs) relied on linear combinations of independent, latent, single-output Gaussian processes (GPs). This resulted in cross-covariance functions with limited parametric interpretation, thus conflicting with the ability of single-output GPs to…