Equispaced Fourier representations for efficient Gaussian process regression from a billion data points
We introduce a Fourier-based fast algorithm for Gaussian process regression in low dimensions. It approximates a translationally invariant covariance kernel…
SIAM/ASA Journal on Uncertainty Quantification