Quantifying aleatoric and epistemic uncertainty in machine learning: Are conditional entropy and mutual information appropriate measures?

Lisa Wimmer, Yusuf Sale, Paul Hofman, Bernd Bischl, Eyke Hüllermeier. Quantifying aleatoric and epistemic uncertainty in machine learning: Are conditional entropy and mutual information appropriate measures?. In Robin J. Evans 0002, Ilya Shpitser, editors, Uncertainty in Artificial Intelligence, UAI 2023, July 31 - 4 August 2023, Pittsburgh, PA, USA. Volume 216 of Proceedings of Machine Learning Research, pages 2282-2292, PMLR, 2023. [doi]

@inproceedings{WimmerSHBH23,
  title = {Quantifying aleatoric and epistemic uncertainty in machine learning: Are conditional entropy and mutual information appropriate measures?},
  author = {Lisa Wimmer and Yusuf Sale and Paul Hofman and Bernd Bischl and Eyke Hüllermeier},
  year = {2023},
  url = {https://proceedings.mlr.press/v216/wimmer23a.html},
  researchr = {https://researchr.org/publication/WimmerSHBH23},
  cites = {0},
  citedby = {0},
  pages = {2282-2292},
  booktitle = {Uncertainty in Artificial Intelligence, UAI 2023, July 31 - 4 August 2023, Pittsburgh, PA, USA},
  editor = {Robin J. Evans 0002 and Ilya Shpitser},
  volume = {216},
  series = {Proceedings of Machine Learning Research},
  publisher = {PMLR},
}