Implementations of the models in the paper "Stochastic Gradient Monomial Gamma Sampler" by Yizhe Zhang, Changyou Chen, Zhe Gan, Ricardo Henao, Lawrence Carin, ICML 2017
- Theono version >= 0.8
- CUDA version 8.0
- cudnn
- Run:
python eval_ptb_sgmgt.py
for demo - Options: options can be made by changing the model/optimizers.py code.
- Penn Treebank dataset
For any question or suggestions, feel free to contact yz196@duke.edu
- Paper link: [http://proceedings.mlr.press/v70/zhang17a.html)
@InProceedings{zhang17astochastic,
title = {Stochastic Gradient Monomial Gamma Sampler},
author = {Yizhe Zhang and Changyou Chen and Zhe Gan and Ricardo Henao and Lawrence Carin},
booktitle = {Proceedings of the 34th International Conference on Machine Learning},
pages = {3996--4005},
year = {2017},
publisher = {PMLR},
}