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All Projects → microsoft → Deterministic Variational Inference

microsoft / Deterministic Variational Inference

Licence: mit
Sample code for running deterministic variational inference to train Bayesian neural networks

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jupyter-notebook

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Deterministic Variational Inference

This code accompanies the publication Fixing Variational Bayes: Deterministic Variational Inference for Bayesian Neural Networks

The notebook ToyData.ipynb demonstrates how to use the method to fit a toy 1-dimensional dataset and reproduce Figure 3 in the paper.

Contributing

This project welcomes contributions and suggestions. Most contributions require you to agree to a Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us the rights to use your contribution. For details, visit https://cla.microsoft.com.

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