Sparse GP Approximations

Sparse GP Approximations

Abstract

In this talk, I present an introduction to pseudo-input methods for sparse GP approximations. I derive the variational lower bounds for SGPR and SVGP and give some intution for how they should be interpreted.

Type
Publication
Bayesian methods reading group
Date
Avatar
Markus Kaiser
PhD candidate in Bayesian Machine Learning