Inference Suboptimality in Variational Autoencoders

Chris Cremer, Xuechen Li, David K. Duvenaud

Abstract: Amortized inference allows latent-variable models trained via variational learning to scale to large datasets. The quality of approximate inference is determined by two factors: a) the capacity of ...