ADMMiRNN: Training RNN with Stable Convergence via an Efficient ADMM Approach

Cite

Text

Tang et al. "ADMMiRNN: Training RNN with Stable Convergence via an Efficient ADMM Approach." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2020. doi:10.1007/978-3-030-67661-2_1

Markdown

[Tang et al. "ADMMiRNN: Training RNN with Stable Convergence via an Efficient ADMM Approach." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2020.](https://mlanthology.org/ecmlpkdd/2020/tang2020ecmlpkdd-admmirnn/) doi:10.1007/978-3-030-67661-2_1

BibTeX

@inproceedings{tang2020ecmlpkdd-admmirnn,
  title     = {{ADMMiRNN: Training RNN with Stable Convergence via an Efficient ADMM Approach}},
  author    = {Tang, Yu and Kan, Zhigang and Sun, Dequan and Qiao, Linbo and Xiao, Jingjing and Lai, Zhiquan and Li, Dongsheng},
  booktitle = {European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases},
  year      = {2020},
  pages     = {3-18},
  doi       = {10.1007/978-3-030-67661-2_1},
  url       = {https://mlanthology.org/ecmlpkdd/2020/tang2020ecmlpkdd-admmirnn/}
}