Posterior Consistency for Missing Data in Variational Autoencoders

Timur Sudak, Sebastian Tschiatschek

We consider the problem of learning Variational Autoencoders (VAEs), i.e., a type of deep generative model, from data with missing values. Such data is omnipresent in real-world ap…