Junxiang Wang, Fuxun Yu, Xiang Chen, Liang Zhao. ADMM for Efficient Deep Learning with Global Convergence. In Ankur Teredesai, Vipin Kumar, Ying Li, Rómer Rosales, Evimaria Terzi, George Karypis, editors, Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, KDD 2019, Anchorage, AK, USA, August 4-8, 2019. pages 111-119, ACM, 2019. [doi]
@inproceedings{WangYCZ19-0,
title = {ADMM for Efficient Deep Learning with Global Convergence},
author = {Junxiang Wang and Fuxun Yu and Xiang Chen and Liang Zhao},
year = {2019},
doi = {10.1145/3292500.3330936},
url = {https://doi.org/10.1145/3292500.3330936},
researchr = {https://researchr.org/publication/WangYCZ19-0},
cites = {0},
citedby = {0},
pages = {111-119},
booktitle = {Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, KDD 2019, Anchorage, AK, USA, August 4-8, 2019},
editor = {Ankur Teredesai and Vipin Kumar and Ying Li and Rómer Rosales and Evimaria Terzi and George Karypis},
publisher = {ACM},
isbn = {978-1-4503-6201-6},
}