Chengchang Liu, Shuxian Bi, Luo Luo, John C. S. Lui. Partial-Quasi-Newton Methods: Efficient Algorithms for Minimax Optimization Problems with Unbalanced Dimensionality. In Aidong Zhang, Huzefa Rangwala, editors, KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14 - 18, 2022. pages 1031-1041, ACM, 2022. [doi]
@inproceedings{LiuBLL22-0,
title = {Partial-Quasi-Newton Methods: Efficient Algorithms for Minimax Optimization Problems with Unbalanced Dimensionality},
author = {Chengchang Liu and Shuxian Bi and Luo Luo and John C. S. Lui},
year = {2022},
doi = {10.1145/3534678.3539379},
url = {https://doi.org/10.1145/3534678.3539379},
researchr = {https://researchr.org/publication/LiuBLL22-0},
cites = {0},
citedby = {0},
pages = {1031-1041},
booktitle = {KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14 - 18, 2022},
editor = {Aidong Zhang and Huzefa Rangwala},
publisher = {ACM},
isbn = {978-1-4503-9385-0},
}