On the Initialization for Convex-Concave Min-max Problems

Mingrui Liu, Francesco Orabona. On the Initialization for Convex-Concave Min-max Problems. In Sanjoy Dasgupta, Nika Haghtalab, editors, International Conference on Algorithmic Learning Theory, 29-1 April 2022, Paris, France. Volume 167 of Proceedings of Machine Learning Research, pages 743-767, PMLR, 2022. [doi]

@inproceedings{LiuO22,
  title = {On the Initialization for Convex-Concave Min-max Problems},
  author = {Mingrui Liu and Francesco Orabona},
  year = {2022},
  url = {https://proceedings.mlr.press/v167/liu22a.html},
  researchr = {https://researchr.org/publication/LiuO22},
  cites = {0},
  citedby = {0},
  pages = {743-767},
  booktitle = {International Conference on Algorithmic Learning Theory, 29-1 April 2022, Paris, France},
  editor = {Sanjoy Dasgupta and Nika Haghtalab},
  volume = {167},
  series = {Proceedings of Machine Learning Research},
  publisher = {PMLR},
}