Gaussian Process Latent Variable Flows for Massively Missing Data

no code implementations • pproximateinference AABI Symposium 2021 • Vidhi Lalchand, Aditya Ravuri, Neil D Lawrence

The Bayesian incarnation of the GPLVM uses a variational framework, where the posterior over all unknown quantities is approximated by a well-behaved variational family, a factorised Gaussian.

Dimensionality Reduction Gaussian Processes +2