Nonsmooth Implicit Differentiation for Machine-Learning and Optimization

Jérôme Bolte, Tam Le, Edouard Pauwels, Antonio Silveti-Falls. Nonsmooth Implicit Differentiation for Machine-Learning and Optimization. In Marc'Aurelio Ranzato, Alina Beygelzimer, Yann N. Dauphin, Percy Liang, Jennifer Wortman Vaughan, editors, Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, NeurIPS 2021, December 6-14, 2021, virtual. pages 13537-13549, 2021. [doi]

@inproceedings{BolteLPS21,
  title = {Nonsmooth Implicit Differentiation for Machine-Learning and Optimization},
  author = {Jérôme Bolte and Tam Le and Edouard Pauwels and Antonio Silveti-Falls},
  year = {2021},
  url = {https://proceedings.neurips.cc/paper/2021/hash/70afbf2259b4449d8ae1429e054df1b1-Abstract.html},
  researchr = {https://researchr.org/publication/BolteLPS21},
  cites = {0},
  citedby = {0},
  pages = {13537-13549},
  booktitle = {Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, NeurIPS 2021, December 6-14, 2021, virtual},
  editor = {Marc'Aurelio Ranzato and Alina Beygelzimer and Yann N. Dauphin and Percy Liang and Jennifer Wortman Vaughan},
}