Gaussian processes

Gaussian process regression

Rasmussen:2006

Variational sparse approximation

variational sparse approximation Titsias:2009

Uncertain inputs

Stochastic inference

“GPs for big data”

Variational approximation of hyperparameters? Elsewhere?

VB approximation for hyperparameters (Titsias:2014) or maybe this elsewhere

GP-LVM?

GP-LVM? does this contain something interesting and specific to VB?

Deep GPs?

again: does this contain something interesting and specific to VB?