Auto-Encoding Variational Bayes Research Publication

Diederik P. Kingma and Max Welling submitted 'Auto-Encoding Variational Bayes' on December 20, 2013. The paper presented a stochastic variational inference and learning method for directed probabilistic models with continuous latent variables, including a reparameterized variational-lower-bound estimator that can be optimized with standard stochastic gradient methods.