Training Variational Autoencoders with Buffered Stochastic Variational Inference

Rui Shu, Hung H. Bui, Jay Whang +1

The recognition network in deep latent variable models such as variational autoencoders (VAEs) relies on amortized inference for efficient posterior approximation that can scale up…