Permutation-preserving Functions and Neural Vecchia Covariance Kernels
arXiv:2605.05523v1 Announce Type: new
Abstract: We introduce a novel framework for constructing scalable and flexible covariance kernels for Gaussian processes (GPs) by directly learning the covariance structure under a regression-type parameterizatio…