Exploiting Strong Convexity from Data with Primal-Dual First-Order Algorithms

Jialei Wang, Lin Xiao. Exploiting Strong Convexity from Data with Primal-Dual First-Order Algorithms. In Doina Precup, Yee Whye Teh, editors, Proceedings of the 34th International Conference on Machine Learning, ICML 2017, Sydney, NSW, Australia, 6-11 August 2017. Volume 70 of JMLR Workshop and Conference Proceedings, pages 3694-3702, JMLR.org, 2017. [doi]

@inproceedings{WangX17-12,
  title = {Exploiting Strong Convexity from Data with Primal-Dual First-Order Algorithms},
  author = {Jialei Wang and Lin Xiao},
  year = {2017},
  url = {http://proceedings.mlr.press/v70/wang17l.html},
  researchr = {https://researchr.org/publication/WangX17-12},
  cites = {0},
  citedby = {0},
  pages = {3694-3702},
  booktitle = {Proceedings of the 34th International Conference on Machine Learning, ICML 2017, Sydney, NSW, Australia, 6-11 August 2017},
  editor = {Doina Precup and Yee Whye Teh},
  volume = {70},
  series = {JMLR Workshop and Conference Proceedings},
  publisher = {JMLR.org},
}