Adaptive multi-resolution Gaussian processes: Scalable exact inference with naturally data-sparse covariance matrices.

arXiv:2609.30348v1 Announce Type: cross Abstract: Gaussian processes constitute a cornerstone of probabilistic machine learning, yet scaling them to large datasets typically forces a trade-off between computational efficiency and model fidelity. This work brid