A framework for bilevel optimization that enables stochastic and global variance reduction algorithms

Mathieu Dagréou, Pierre Ablin, Samuel Vaiter, Thomas Moreau 0001. A framework for bilevel optimization that enables stochastic and global variance reduction algorithms. In Sanmi Koyejo, S. Mohamed, A. Agarwal, Danielle Belgrave, K. Cho, A. Oh, editors, Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, NeurIPS 2022, New Orleans, LA, USA, November 28 - December 9, 2022. 2022. [doi]

@inproceedings{DagreouAV022,
  title = {A framework for bilevel optimization that enables stochastic and global variance reduction algorithms},
  author = {Mathieu Dagréou and Pierre Ablin and Samuel Vaiter and Thomas Moreau 0001},
  year = {2022},
  url = {http://papers.nips.cc/paper_files/paper/2022/hash/aa84ec1ac3f5fdcf77bce2c22705ab77-Abstract-Conference.html},
  researchr = {https://researchr.org/publication/DagreouAV022},
  cites = {0},
  citedby = {0},
  booktitle = {Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, NeurIPS 2022, New Orleans, LA, USA, November 28 - December 9, 2022},
  editor = {Sanmi Koyejo and S. Mohamed and A. Agarwal and Danielle Belgrave and K. Cho and A. Oh},
  isbn = {9781713871088},
}