Sparse within Sparse Gaussian Processes using Neighbor Information

Gia-Lac Tran, Dimitrios Milios, Pietro Michiardi, Maurizio Filippone

Abstract: Approximations to Gaussian processes (GPs) based on inducing variables, combined with variational inference techniques, enable state-of-the-art sparse approaches to infer GPs at scale through mini-...