A Local Convergence Theory for Mildly Over-Parameterized Two-Layer Neural Network

Mo Zhou, Rong Ge 0001, Chi Jin. A Local Convergence Theory for Mildly Over-Parameterized Two-Layer Neural Network. In Mikhail Belkin, Samory Kpotufe, editors, Conference on Learning Theory, COLT 2021, 15-19 August 2021, Boulder, Colorado, USA. Volume 134 of Proceedings of Machine Learning Research, pages 4577-4632, PMLR, 2021. [doi]

@inproceedings{Zhou0J21,
  title = {A Local Convergence Theory for Mildly Over-Parameterized Two-Layer Neural Network},
  author = {Mo Zhou and Rong Ge 0001 and Chi Jin},
  year = {2021},
  url = {http://proceedings.mlr.press/v134/zhou21b.html},
  researchr = {https://researchr.org/publication/Zhou0J21},
  cites = {0},
  citedby = {0},
  pages = {4577-4632},
  booktitle = {Conference on Learning Theory, COLT 2021, 15-19 August 2021, Boulder, Colorado, USA},
  editor = {Mikhail Belkin and Samory Kpotufe},
  volume = {134},
  series = {Proceedings of Machine Learning Research},
  publisher = {PMLR},
}