Understanding the Role of Momentum in Stochastic Gradient Methods

Igor Gitman, Hunter Lang, Pengchuan Zhang, Lin Xiao. Understanding the Role of Momentum in Stochastic Gradient Methods. 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 9630-9640, 2019. [doi]

@inproceedings{GitmanLZX19,
  title = {Understanding the Role of Momentum in Stochastic Gradient Methods},
  author = {Igor Gitman and Hunter Lang and Pengchuan Zhang and Lin Xiao},
  year = {2019},
  url = {http://papers.nips.cc/paper/9158-understanding-the-role-of-momentum-in-stochastic-gradient-methods},
  researchr = {https://researchr.org/publication/GitmanLZX19},
  cites = {0},
  citedby = {0},
  pages = {9630-9640},
  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},
}