2021
Sparse within Sparse Gaussian Processes using Neighbor Information
ICML 2021spotlight
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-batch based learning. In this work, we further push the limits of scalability of sparse GPs by allowing…