Benign Overfitting without Linearity: Neural Network Classifiers Trained by Gradient Descent for Noisy Linear Data

Spencer Frei, Niladri S. Chatterji, Peter L. Bartlett. Benign Overfitting without Linearity: Neural Network Classifiers Trained by Gradient Descent for Noisy Linear Data. In Po-Ling Loh, Maxim Raginsky, editors, Conference on Learning Theory, 2-5 July 2022, London, UK. Volume 178 of Proceedings of Machine Learning Research, pages 2668-2703, PMLR, 2022. [doi]

@inproceedings{FreiCB22,
  title = {Benign Overfitting without Linearity: Neural Network Classifiers Trained by Gradient Descent for Noisy Linear Data},
  author = {Spencer Frei and Niladri S. Chatterji and Peter L. Bartlett},
  year = {2022},
  url = {https://proceedings.mlr.press/v178/frei22a.html},
  researchr = {https://researchr.org/publication/FreiCB22},
  cites = {0},
  citedby = {0},
  pages = {2668-2703},
  booktitle = {Conference on Learning Theory, 2-5 July 2022, London, UK},
  editor = {Po-Ling Loh and Maxim Raginsky},
  volume = {178},
  series = {Proceedings of Machine Learning Research},
  publisher = {PMLR},
}