Hybrid Variance-Reduced SGD Algorithms For Minimax Problems with Nonconvex-Linear Function

Quoc Tran-Dinh, Deyi Liu, Lam Nguyen. Hybrid Variance-Reduced SGD Algorithms For Minimax Problems with Nonconvex-Linear Function. 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{Tran-DinhLN20,
  title = {Hybrid Variance-Reduced SGD Algorithms For Minimax Problems with Nonconvex-Linear Function},
  author = {Quoc Tran-Dinh and Deyi Liu and Lam Nguyen},
  year = {2020},
  url = {https://proceedings.neurips.cc/paper/2020/hash/7f141cf8e7136ce8701dc6636c2a6fe4-Abstract.html},
  researchr = {https://researchr.org/publication/Tran-DinhLN20},
  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},
}