We reinterpreting the variational inference in a new perspective.Via this way, we can easily prove that EM algorithm,VAE, GAN, AAE, ALI(BiGAN) are all special cases of variationalinference. The proof also reveals the loss of standard GAN is incomplete and it explains why we need to train GAN cautiously. From that, we find out a regularization term to improvestability of GAN training.

Variational Inference: A Unified Framework of Generative Models and Some Revelations