Learning to Defer to Multiple Experts: Consistent Surrogate Losses, Confidence Calibration, and Conformal Ensembles

Rajeev Verma, Daniel Barrejón, Eric T. Nalisnick. Learning to Defer to Multiple Experts: Consistent Surrogate Losses, Confidence Calibration, and Conformal Ensembles. In Francisco J. R. Ruiz, Jennifer G. Dy, Jan-Willem van de Meent, editors, International Conference on Artificial Intelligence and Statistics, 25-27 April 2023, Palau de Congressos, Valencia, Spain. Volume 206 of Proceedings of Machine Learning Research, pages 11415-11434, PMLR, 2023. [doi]

@inproceedings{VermaBN23,
  title = {Learning to Defer to Multiple Experts: Consistent Surrogate Losses, Confidence Calibration, and Conformal Ensembles},
  author = {Rajeev Verma and Daniel Barrejón and Eric T. Nalisnick},
  year = {2023},
  url = {https://proceedings.mlr.press/v206/verma23a.html},
  researchr = {https://researchr.org/publication/VermaBN23},
  cites = {0},
  citedby = {0},
  pages = {11415-11434},
  booktitle = {International Conference on Artificial Intelligence and Statistics, 25-27 April 2023, Palau de Congressos, Valencia, Spain},
  editor = {Francisco J. R. Ruiz and Jennifer G. Dy and Jan-Willem van de Meent},
  volume = {206},
  series = {Proceedings of Machine Learning Research},
  publisher = {PMLR},
}