The Information Autoencoding Family: A Lagrangian Perspective on Latent Variable Generative Models

18 Jun 2018 Shengjia Zhao Jiaming Song Stefano Ermon

A large number of objectives have been proposed to train latent variable generative models. We show that many of them are Lagrangian dual functions of the same primal optimization problem... (read more)

PDF Abstract

Results from the Paper

  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.

Methods used in the Paper