Skip to content
Statistical machine learning is all about gambling.
Branch: master
Clone or download
Latest commit a71fcc4 Jul 18, 2019
Type Name Latest commit message Commit time
Failed to load latest commit information.
data add clean code May 13, 2019
notebooks fix package name Jul 17, 2019
src remove CRP links Jul 18, 2019
.gitignore add clean code May 13, 2019
LICENSE Initial commit May 10, 2019
Manifest.toml add some info in May 13, 2019
Project.toml add some info in May 13, 2019 Update May 13, 2019 add clean code May 13, 2019

RAVE: Roulette-based Amortized Variational Expectations

Source code for the paper

Kai Xu, Akash Srivastava and Charles Sutton. “Variational Russian Roulette for Deep Bayesian Nonparametrics.” International Conference on Machine Learning, 2019.


Check notebooks/bnpvae.ipynb for the notebook that contains almost everything you would want to reproduce from our paper.

The soure code (in src) is written in Julia mostly with the Knet.jl deep learning framework. I hope the code is clean enough so that even you never used Julia before would understand. Some basic instructions for people haven't used Julia before would be added soon.

You can’t perform that action at this time.