MURANA: A Generic Framework for Stochastic Variance-Reduced Optimization

Laurent Condat, Peter Richtárik. MURANA: A Generic Framework for Stochastic Variance-Reduced Optimization. In Bin Dong, Qianxiao Li, Lei Wang, Zhi-Qin John Xu, editors, Mathematical and Scientific Machine Learning, 15-17 August 2022, Peking University, Beijing, China. Volume 190 of Proceedings of Machine Learning Research, pages 81-96, PMLR, 2022. [doi]

@inproceedings{CondatR22,
  title = {MURANA: A Generic Framework for Stochastic Variance-Reduced Optimization},
  author = {Laurent Condat and Peter Richtárik},
  year = {2022},
  url = {https://proceedings.mlr.press/v190/condat22a.html},
  researchr = {https://researchr.org/publication/CondatR22},
  cites = {0},
  citedby = {0},
  pages = {81-96},
  booktitle = {Mathematical and Scientific Machine Learning, 15-17 August 2022, Peking University, Beijing, China},
  editor = {Bin Dong and Qianxiao Li and Lei Wang and Zhi-Qin John Xu},
  volume = {190},
  series = {Proceedings of Machine Learning Research},
  publisher = {PMLR},
}