Robust Deep Learning as Optimal Control: Insights and Convergence Guarantees

Jacob H. Seidman, Mahyar Fazlyab, Victor M. Preciado, George J. Pappas. Robust Deep Learning as Optimal Control: Insights and Convergence Guarantees. In Alexandre M. Bayen, Ali Jadbabaie, George J. Pappas, Pablo A. Parrilo, Benjamin Recht, Claire J. Tomlin, Melanie N. Zeilinger, editors, Proceedings of the 2nd Annual Conference on Learning for Dynamics and Control, L4DC 2020, Online Event, Berkeley, CA, USA, 11-12 June 2020. Volume 120 of Proceedings of Machine Learning Research, pages 884-893, PMLR, 2020. [doi]

@inproceedings{SeidmanFPP20-0,
  title = {Robust Deep Learning as Optimal Control: Insights and Convergence Guarantees},
  author = {Jacob H. Seidman and Mahyar Fazlyab and Victor M. Preciado and George J. Pappas},
  year = {2020},
  url = {http://proceedings.mlr.press/v120/seidman20a.html},
  researchr = {https://researchr.org/publication/SeidmanFPP20-0},
  cites = {0},
  citedby = {0},
  pages = {884-893},
  booktitle = {Proceedings of the 2nd Annual Conference on Learning for Dynamics and Control, L4DC 2020, Online Event, Berkeley, CA, USA, 11-12 June 2020},
  editor = {Alexandre M. Bayen and Ali Jadbabaie and George J. Pappas and Pablo A. Parrilo and Benjamin Recht and Claire J. Tomlin and Melanie N. Zeilinger},
  volume = {120},
  series = {Proceedings of Machine Learning Research},
  publisher = {PMLR},
}