A unified variance-reduced accelerated gradient method for convex optimization

Guanghui Lan, Zhize Li, Yi Zhou. A unified variance-reduced accelerated gradient method for convex optimization. In Hanna M. Wallach, Hugo Larochelle, Alina Beygelzimer, Florence d'Alché-Buc, Edward A. Fox, Roman Garnett, editors, Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, NeurIPS 2019, 8-14 December 2019, Vancouver, BC, Canada. pages 10462-10472, 2019. [doi]

@inproceedings{LanLZ19-1,
  title = {A unified variance-reduced accelerated gradient method for convex optimization},
  author = {Guanghui Lan and Zhize Li and Yi Zhou},
  year = {2019},
  url = {http://papers.nips.cc/paper/9233-a-unified-variance-reduced-accelerated-gradient-method-for-convex-optimization},
  researchr = {https://researchr.org/publication/LanLZ19-1},
  cites = {0},
  citedby = {0},
  pages = {10462-10472},
  booktitle = {Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, NeurIPS 2019, 8-14 December 2019, Vancouver, BC, Canada},
  editor = {Hanna M. Wallach and Hugo Larochelle and Alina Beygelzimer and Florence d'Alché-Buc and Edward A. Fox and Roman Garnett},
}