Efficient Nonconvex Empirical Risk Minimization via Adaptive Sample Size Methods

Aryan Mokhtari, Asuman E. Ozdaglar, Ali Jadbabaie. Efficient Nonconvex Empirical Risk Minimization via Adaptive Sample Size Methods. In Kamalika Chaudhuri, Masashi Sugiyama, editors, The 22nd International Conference on Artificial Intelligence and Statistics, AISTATS 2019, 16-18 April 2019, Naha, Okinawa, Japan. Volume 89 of Proceedings of Machine Learning Research, pages 2485-2494, PMLR, 2019. [doi]

@inproceedings{MokhtariOJ19,
  title = {Efficient Nonconvex Empirical Risk Minimization via Adaptive Sample Size Methods},
  author = {Aryan Mokhtari and Asuman E. Ozdaglar and Ali Jadbabaie},
  year = {2019},
  url = {http://proceedings.mlr.press/v89/mokhtari19a.html},
  researchr = {https://researchr.org/publication/MokhtariOJ19},
  cites = {0},
  citedby = {0},
  pages = {2485-2494},
  booktitle = {The 22nd International Conference on Artificial Intelligence and Statistics, AISTATS 2019, 16-18 April 2019, Naha, Okinawa, Japan},
  editor = {Kamalika Chaudhuri and Masashi Sugiyama},
  volume = {89},
  series = {Proceedings of Machine Learning Research},
  publisher = {PMLR},
}