Add other examples

[luiarthur]

GP

• GP for big data: Hensmen (2013)
• Stochastic Variational Inference for Fully Bayesian Sparse Gaussian Process Regression Models: Yu (2017)

SVI

• Variational Auto-encoder (for Stochastic Variational Inference with local parameters)
• The variational GP: Tran, Blei (2015) (basically a GP for the function in VAE)
• See this Quora post

[luiarthur]

Probably want to add BBVI first.

Also, change https://luiarthur.github.io/statorial/varinf to be more general than

• using pytorch
• using ADVI
• want to add some examples using Julia to implement a general-ish BBVI