2020
Scalable Gaussian Process Separation for Kernels with a Non-Stationary Phase
ICML 2020poster
The application of Gaussian processes (GPs) to large data sets is limited due to heavy memory and computational requirements. A variety of methods has been proposed to enable scalability, one of which is to exploit structure in the kernel matrix. Previous methods, however, cannot easily deal with mi…