Autoencoders and Probabilistic Inference with Missing Data: An Exact Solution for The Factor Analysis Case

Christopher K. I. Williams, Charlie Nash, Alfredo Nazábal

Latent variable models can be used to probabilistically "fill-in" missing data entries. The variational autoencoder architecture (Kingma and Welling, 2014; Rezende et al., 2014) in…