Nicolas Loizou, Hugo Berard, Gauthier Gidel, Ioannis Mitliagkas, Simon Lacoste-Julien. Stochastic Gradient Descent-Ascent and Consensus Optimization for Smooth Games: Convergence Analysis under Expected Co-coercivity. In Marc'Aurelio Ranzato, Alina Beygelzimer, Yann N. Dauphin, Percy Liang, Jennifer Wortman Vaughan, editors, Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, NeurIPS 2021, December 6-14, 2021, virtual. pages 19095-19108, 2021. [doi]
@inproceedings{LoizouBGML21,
title = {Stochastic Gradient Descent-Ascent and Consensus Optimization for Smooth Games: Convergence Analysis under Expected Co-coercivity},
author = {Nicolas Loizou and Hugo Berard and Gauthier Gidel and Ioannis Mitliagkas and Simon Lacoste-Julien},
year = {2021},
url = {https://proceedings.neurips.cc/paper/2021/hash/9f96f36b7aae3b1ff847c26ac94c604e-Abstract.html},
researchr = {https://researchr.org/publication/LoizouBGML21},
cites = {0},
citedby = {0},
pages = {19095-19108},
booktitle = {Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, NeurIPS 2021, December 6-14, 2021, virtual},
editor = {Marc'Aurelio Ranzato and Alina Beygelzimer and Yann N. Dauphin and Percy Liang and Jennifer Wortman Vaughan},
}