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ARM:Augment-REINFORCE-merge gradient for discrete latent variable models

Code to show the simulation results in ARM:Augment-REINFORCE-merge gradient for discrete latent variable models

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:

@article{
  yin2018arm,
  title={ARM: Augment-REINFORCE-Merge Gradient for Discrete Latent Variable Models},
  author={Yin, Mingzhang and Zhou, Mingyuan},
  journal={arXiv preprint arXiv:1807.11143},
  year={2018}
}

License Info

This code is offered under the MIT License.

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Low variance, unbiased, fast gradient for discrete latent variable models.

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  • Python 100.0%