Scalable Gaussian Processes with Billions of Inducing Inputs via Tensor Train Decomposition

Pavel Izmailov, Alexander Novikov, Dmitry Kropotov

We propose a method (TT-GP) for approximate inference in Gaussian Process (GP) models. We build on previous scalable GP research including stochastic variational inference based on…