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All Projects → mingzhang-yin → ARM-gradient

mingzhang-yin / ARM-gradient

Licence: MIT license
Low-variance, efficient and unbiased gradient estimation for optimizing models with binary latent variables. (ICLR 2019)

Programming Languages

python
139335 projects - #7 most used programming language

Labels

variance-reductiondiscrete-optimizationvariational-bayesstochastic-optimization

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ARM: Augment-REINFORCE-Merge Gradient for Stochastic Binary Networks

Code to show the simulation results in ARM: Augment-REINFORCE-Merge Gradient for Stochastic Binary Networks

Data sets

The MNIST data is self-contained and the Omniglot data is in the repository.

Citations

Below are the paper to cite if you find the algorithms in this repository useful in your own research:

@inproceedings{yin2018arm,
title={{ARM}: Augment-{REINFORCE}-Merge Gradient for Stochastic Binary Networks},
author={Mingzhang Yin and Mingyuan Zhou},
booktitle={International Conference on Learning Representations},
year={2019}
}

License Info

This code is offered under the MIT License.

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