Finding Second-Order Stationary Points Efficiently in Smooth Nonconvex Linearly Constrained Optimization Problems

Songtao Lu, Meisam Razaviyayn, Bo Yang, Kejun Huang, Mingyi Hong. Finding Second-Order Stationary Points Efficiently in Smooth Nonconvex Linearly Constrained Optimization Problems. In Hugo Larochelle, Marc'Aurelio Ranzato, Raia Hadsell, Maria-Florina Balcan, Hsuan-Tien Lin, editors, Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, NeurIPS 2020, December 6-12, 2020, virtual. 2020. [doi]

@inproceedings{LuRYHH20,
  title = {Finding Second-Order Stationary Points Efficiently in Smooth Nonconvex Linearly Constrained Optimization Problems},
  author = {Songtao Lu and Meisam Razaviyayn and Bo Yang and Kejun Huang and Mingyi Hong},
  year = {2020},
  url = {https://proceedings.neurips.cc/paper/2020/hash/1da546f25222c1ee710cf7e2f7a3ff0c-Abstract.html},
  researchr = {https://researchr.org/publication/LuRYHH20},
  cites = {0},
  citedby = {0},
  booktitle = {Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, NeurIPS 2020, December 6-12, 2020, virtual},
  editor = {Hugo Larochelle and Marc'Aurelio Ranzato and Raia Hadsell and Maria-Florina Balcan and Hsuan-Tien Lin},
}