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Update VI Bayesian NN notebook to best practices (#221)
* best practices updates * updates: coords naming * fix coords * style guide changes * rerun precommit * fixes * author names in ref * run with arviz v0.11.4 * fix links * fix broken ADVI link
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examples/references.bib

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@@ -48,13 +48,49 @@ @article{koren2009matrixfactorization
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doi={10.1109/MC.2009.263}
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}
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@misc{kingma2014autoencoding,
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title={Auto-Encoding Variational Bayes},
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author={Diederik P Kingma and Max Welling},
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year={2014},
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eprint={1312.6114},
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archivePrefix={arXiv},
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primaryClass={stat.ML}
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}
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@misc{kucukelbir2015automatic,
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title={Automatic Variational Inference in Stan},
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author={Alp Kucukelbir and Rajesh Ranganath and Andrew Gelman and David M. Blei},
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year={2015},
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eprint={1506.03431},
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archivePrefix={arXiv},
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primaryClass={stat.ML}
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}
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@book{mcelreath2018statistical,
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title={Statistical rethinking: A Bayesian course with examples in R and Stan},
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author={McElreath, Richard},
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year={2018},
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publisher={Chapman and Hall/CRC}
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}
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@misc{mnih2013playing,
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title={Playing Atari with Deep Reinforcement Learning},
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author={Volodymyr Mnih and Koray Kavukcuoglu and David Silver and Alex Graves and Ioannis Antonoglou and Daan Wierstra and Martin Riedmiller},
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year={2013},
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eprint={1312.5602},
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archivePrefix={arXiv},
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primaryClass={cs.LG}
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}
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@article{silver2016masteringgo,
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title={Mastering the game of Go with deep neural networks and tree search},
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author={D. Silver, A. Huang, C. Maddison et al.},
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journal={Nature},
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volume={529},
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pages={484--489},
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year={2016},
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url={https://doi.org/10.1038/nature16961}
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}
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@book{james2021statisticallearning,
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title={An Introduction to Statistical Learning},
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publisher={Elsevier}
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}
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@inproceedings{mnih2008advances,
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title={Probabilistic Matrix Factorization},
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author={Mnih, Andriy and Salakhutdinov, Russ R},
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year={2008},
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volume={25}
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}
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@misc{szegedy2014going,
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title={Going Deeper with Convolutions},
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author={Christian Szegedy and Wei Liu and Yangqing Jia and Pierre Sermanet and Scott Reed and Dragomir Anguelov and Dumitru Erhan and Vincent Vanhoucke and Andrew Rabinovich},
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year={2014},
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eprint={1409.4842},
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archivePrefix={arXiv},
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primaryClass={cs.CV}
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}

examples/variational_inference/bayesian_neural_network_advi.ipynb

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