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Code for "A Spectral Approach to Gradient Estimation for Implicit Distributions"
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data Add files. Jun 20, 2018
estimator
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toy Add files. Jun 20, 2018
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README.md
eval_stats.py
run_eval.sh

README.md

spectral-stein-grad

Code for "A Spectral Approach to Gradient Estimation for Implicit Distributions" (ICML 18) https://arxiv.org/abs/1806.02925

Dependencies

Get Started

python -m toy.guassian

Implicit VAEs

Train plain VAE on CelebA:

python -m vae.vae_celeba

Train implicit VAE on CelebA using entropy gradients estimated by SSGE:

python -m vae.vae_celeba_implicit

Citation

To cite this work, please use

@InProceedings{shi2018spectral,
  title = 	 {A Spectral Approach to Gradient Estimation for Implicit Distributions},
  author = 	 {Shi, Jiaxin and Sun, Shengyang and Zhu, Jun},
  booktitle = 	 {Proceedings of the 35th International Conference on Machine Learning},
  pages = 	 {4651--4660},
  year = 	 {2018},
}
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