Guaranteed Sufficient Decrease for Stochastic Variance Reduced Gradient Optimization

Fanhua Shang, Yuanyuan Liu, Kaiwen Zhou, James Cheng, Kelvin Kai Wing Ng, Yuichi Yoshida. Guaranteed Sufficient Decrease for Stochastic Variance Reduced Gradient Optimization. In Amos J. Storkey, Fernando Pérez-Cruz, editors, International Conference on Artificial Intelligence and Statistics, AISTATS 2018, 9-11 April 2018, Playa Blanca, Lanzarote, Canary Islands, Spain. Volume 84 of Proceedings of Machine Learning Research, pages 1027-1036, PMLR, 2018. [doi]

@inproceedings{ShangLZCNY18,
  title = {Guaranteed Sufficient Decrease for Stochastic Variance Reduced Gradient Optimization},
  author = {Fanhua Shang and Yuanyuan Liu and Kaiwen Zhou and James Cheng and Kelvin Kai Wing Ng and Yuichi Yoshida},
  year = {2018},
  url = {http://proceedings.mlr.press/v84/shang18a.html},
  researchr = {https://researchr.org/publication/ShangLZCNY18},
  cites = {0},
  citedby = {0},
  pages = {1027-1036},
  booktitle = {International Conference on Artificial Intelligence and Statistics, AISTATS 2018, 9-11 April 2018, Playa Blanca, Lanzarote, Canary Islands, Spain},
  editor = {Amos J. Storkey and Fernando Pérez-Cruz},
  volume = {84},
  series = {Proceedings of Machine Learning Research},
  publisher = {PMLR},
}