Visualising Importance Sampling implied distributions.

A summary of Yarin Gals paper on the MCDropout.

AVB Pytorch.

Working with VAEs in pytorch.

Discriminators as approximations of ratios of distributions

Theoretical extensions to VI framework to lead to Variational Autoencoders.

Using the Renyi Divergence in practice for doing VI.

Using the Renyi Alpha divergence in variational inference.

Using the Renyi Alpha divergence in variational inference.

Using the ELBO in practice, and an introduction to a few of the issues of Monte Carlo estimation for the ELBO.