Automatic autoencoding variational Bayes for latent dirichlet allocation with PyMC3 — PyMC3 3.10.0 documentation

Automatic autoencoding variational Bayes for latent dirichlet allocation with PyMC3¶ For probabilistic models with latent variables, autoencoding variational Bayes (AEVB; Kingma and Welling, 2014) is an algorithm which allows us to perform inference efficiently for large datasets with an encoder. In AEVB, the encoder is used to infer variational parameters of approximate posterior on latent variab