Vecchia approximations

Researchers develop neural networks for scalable Gaussian process covariance kernels

Researchers have developed a new framework for creating scalable and flexible covariance kernels for Gaussian processes (GPs). This method directly learns the covariance structure using deep neural architectures and a r…