A list of papers / videos / tutorials / blog posts on machine learning.

The following notebooks can be viewed through nbviewer for proper rendering of formulas:

1. Stochastic Variational Inference and Variational Autoencoders - This notebook contains details of how we can evolve into the architecture of a VAE starting from a simple problem of fitting a dataset of natural images into a probabilistic distribution.
2. Improving Variational Inference - This notebook is a WIP on how to improve VI and the lower bound in VAE
3. Maximum Likelihood Estimation - This notebook contains some useful derivations for MLE.
4. Deep Generative Modeling - a consolidated overview - This notebook contains a consolidated overview of the various types of deep generative models with a comprehensive set of references for each of them.