Luke Travis

Pointwise uncertainty quantification for sparse variational Gaussian process regression with a Brownian motion prior

We study pointwise estimation and uncertainty quantification for a sparse variational Gaussian process method with eigenvector inducing variables. For a rescaled Brownian motion prior, we derive theoretical guarantees and limitations for the frequentist size and coverage of pointwise credible sets.…