On the Calibration of Epistemic Uncertainty: Principles, Paradoxes and Conflictual Loss

Cite

Text

Fellaji et al. "On the Calibration of Epistemic Uncertainty: Principles, Paradoxes and Conflictual Loss." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2024. doi:10.1007/978-3-031-70359-1_10

Markdown

[Fellaji et al. "On the Calibration of Epistemic Uncertainty: Principles, Paradoxes and Conflictual Loss." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2024.](https://mlanthology.org/ecmlpkdd/2024/fellaji2024ecmlpkdd-calibration/) doi:10.1007/978-3-031-70359-1_10

BibTeX

@inproceedings{fellaji2024ecmlpkdd-calibration,
  title     = {{On the Calibration of Epistemic Uncertainty: Principles, Paradoxes and Conflictual Loss}},
  author    = {Fellaji, Mohammed and Pennerath, Frédéric and Conan-Guez, Brieuc and Couceiro, Miguel},
  booktitle = {European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases},
  year      = {2024},
  pages     = {160-176},
  doi       = {10.1007/978-3-031-70359-1_10},
  url       = {https://mlanthology.org/ecmlpkdd/2024/fellaji2024ecmlpkdd-calibration/}
}