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Empirical Inference Conference Paper 2023

Certifying Ensembles: A General Certification Theory with S-Lipschitzness

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Empirical Inference
Amartya Sanyal
Collaborator

Author(s): Petrov, A. and Eiras, F. and Sanyal, A. and Torr, P. and Bibi, A.
Book Title: Proceedings of the 40th International Conference on Machine Learning (ICML)
Volume: 202
Pages: 27709--27736
Year: 2023
Month: July
Series: Proceedings of Machine Learning Research
Editors: A. Krause, E. Brunskill, K. Cho, B. Engelhardt, S. Sabato and J. Scarlett
Publisher: PMLR
Bibtex Type: Conference Paper (conference)
Event Place: Honolulu, Hawaii, USA
State: Published
URL: https://proceedings.mlr.press/v202/petrov23a.html
Electronic Archiving: grant_archive
Links:

BibTex 

@conference{Petrovetal23,
  title = {Certifying Ensembles: A General Certification Theory with S-Lipschitzness},
  booktitle = {Proceedings of the 40th International Conference on Machine Learning (ICML)},
  volume = {202},
  pages = {27709--27736},
  series = {Proceedings of Machine Learning Research},
  editors = {A. Krause, E. Brunskill, K. Cho, B. Engelhardt, S. Sabato and J. Scarlett},
  publisher = {PMLR},
  month = jul,
  year = {2023},
  slug = {petrovetal23},
  author = {Petrov, A. and Eiras, F. and Sanyal, A. and Torr, P. and Bibi, A.},
  url = {https://proceedings.mlr.press/v202/petrov23a.html},
  month_numeric = {7}
}