Concave Gaussian Variational Approximations for Inference in Large-Scale Bayesian Linear Models. - Edward Challis; David Barber (AISTATS, 2011)

Affine Independent Variational Inference. - Edward Challis; David Barber (NIPS, 2012)

Fisher and Shannon Information in Finite Neural Populations. - Stuart Yarrow; Edward Challis; Peggy Seriès (Neural Comput., 2012)

Gaussian Kullback-Leibler approximate inference. - Edward Challis; David Barber (J. Mach. Learn. Res., 2013)

Variational approximate inference in latent linear models. - Edward Challis (2013)

Gaussian process classification of Alzheimer's disease and mild cognitive impairment from resting-state fMRI. - Edward Challis; Peter Hurley; Laura Serra; Marco Bozzali; Seb Oliver; Mara Cercignani (NeuroImage, 2015)

Generalized Multiple Intent Conditioned Slot Filling. - Harshil Shah; Arthur Wilcke; Marius Cobzarenco; Cristi Cobzarenco; Edward Challis; David Barber (CoRR, 2023)