Stochastic Approximation of Smooth and Strongly Convex Functions: Beyond the $O(1/T)$ Convergence Rate

Lijun Zhang, Zhi-Hua Zhou. Stochastic Approximation of Smooth and Strongly Convex Functions: Beyond the $O(1/T)$ Convergence Rate. In Alina Beygelzimer, Daniel Hsu 0001, editors, Conference on Learning Theory, COLT 2019, 25-28 June 2019, Phoenix, AZ, USA. Volume 99 of Proceedings of Machine Learning Research, pages 3160-3179, PMLR, 2019. [doi]

@inproceedings{ZhangZ19-38,
  title = {Stochastic Approximation of Smooth and Strongly Convex Functions: Beyond the $O(1/T)$ Convergence Rate},
  author = {Lijun Zhang and Zhi-Hua Zhou},
  year = {2019},
  url = {http://proceedings.mlr.press/v99/zhang19a.html},
  researchr = {https://researchr.org/publication/ZhangZ19-38},
  cites = {0},
  citedby = {0},
  pages = {3160-3179},
  booktitle = {Conference on Learning Theory, COLT 2019, 25-28 June 2019, Phoenix, AZ, USA},
  editor = {Alina Beygelzimer and Daniel Hsu 0001},
  volume = {99},
  series = {Proceedings of Machine Learning Research},
  publisher = {PMLR},
}