Stochastic Recursive Variance-Reduced Cubic Regularization Methods

Dongruo Zhou, Quanquan Gu. Stochastic Recursive Variance-Reduced Cubic Regularization Methods. In Silvia Chiappa, Roberto Calandra, editors, The 23rd International Conference on Artificial Intelligence and Statistics, AISTATS 2020, 26-28 August 2020, Online [Palermo, Sicily, Italy]. Volume 108 of Proceedings of Machine Learning Research, pages 3980-3990, PMLR, 2020. [doi]

@inproceedings{ZhouG20-2,
  title = {Stochastic Recursive Variance-Reduced Cubic Regularization Methods},
  author = {Dongruo Zhou and Quanquan Gu},
  year = {2020},
  url = {http://proceedings.mlr.press/v108/zhou20a.html},
  researchr = {https://researchr.org/publication/ZhouG20-2},
  cites = {0},
  citedby = {0},
  pages = {3980-3990},
  booktitle = {The 23rd International Conference on Artificial Intelligence and Statistics, AISTATS 2020, 26-28 August 2020, Online [Palermo, Sicily, Italy]},
  editor = {Silvia Chiappa and Roberto Calandra},
  volume = {108},
  series = {Proceedings of Machine Learning Research},
  publisher = {PMLR},
}