Second-order Optimization for Non-convex Machine Learning: an Empirical Study

Peng Xu, Fred Roosta, Michael W. Mahoney. Second-order Optimization for Non-convex Machine Learning: an Empirical Study. In Carlotta Demeniconi, Nitesh V. Chawla, editors, Proceedings of the 2020 SIAM International Conference on Data Mining, SDM 2020, Cincinnati, Ohio, USA, May 7-9, 2020 [the conference was canceled because of the coronavirus pandemic, the reviewed papers are published in this volume]. pages 199-207, SIAM, 2020. [doi]

@inproceedings{XuRM20,
  title = {Second-order Optimization for Non-convex Machine Learning: an Empirical Study},
  author = {Peng Xu and Fred Roosta and Michael W. Mahoney},
  year = {2020},
  doi = {10.1137/1.9781611976236.23},
  url = {https://doi.org/10.1137/1.9781611976236.23},
  researchr = {https://researchr.org/publication/XuRM20},
  cites = {0},
  citedby = {0},
  pages = {199-207},
  booktitle = {Proceedings of the 2020 SIAM International Conference on Data Mining, SDM 2020, Cincinnati, Ohio, USA, May 7-9, 2020 [the conference was canceled because of the coronavirus pandemic, the reviewed papers are published in this volume]},
  editor = {Carlotta Demeniconi and Nitesh V. Chawla},
  publisher = {SIAM},
  isbn = {978-1-61197-623-6},
}