A Single-Loop Smoothed Gradient Descent-Ascent Algorithm for Nonconvex-Concave Min-Max Problems

Jiawei Zhang, Peijun Xiao, Ruoyu Sun 0001, Zhi-Quan Luo. A Single-Loop Smoothed Gradient Descent-Ascent Algorithm for Nonconvex-Concave Min-Max Problems. In Hugo Larochelle, Marc'Aurelio Ranzato, Raia Hadsell, Maria-Florina Balcan, Hsuan-Tien Lin, editors, Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, NeurIPS 2020, December 6-12, 2020, virtual. 2020. [doi]

@inproceedings{ZhangX0L20,
  title = {A Single-Loop Smoothed Gradient Descent-Ascent Algorithm for Nonconvex-Concave Min-Max Problems},
  author = {Jiawei Zhang and Peijun Xiao and Ruoyu Sun 0001 and Zhi-Quan Luo},
  year = {2020},
  url = {https://proceedings.neurips.cc/paper/2020/hash/52aaa62e71f829d41d74892a18a11d59-Abstract.html},
  researchr = {https://researchr.org/publication/ZhangX0L20},
  cites = {0},
  citedby = {0},
  booktitle = {Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, NeurIPS 2020, December 6-12, 2020, virtual},
  editor = {Hugo Larochelle and Marc'Aurelio Ranzato and Raia Hadsell and Maria-Florina Balcan and Hsuan-Tien Lin},
}