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Statistical machine learning is all about gambling.
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README.md

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.

tl;dr

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.

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