Permutation-preserving Functions and Neural Vecchia Covariance Kernels

Jian Cao, Nian Liu, Ying Lin

We introduce a novel framework for constructing scalable and flexible covariance kernels for Gaussian processes (GPs) by directly learning the covariance structure under a regressi…