Collision Probability Matching Loss for Disentangling Epistemic Uncertainty from Aleatoric Uncertainty

Hiromi Narimatsu, Mayuko Ozawa, Shiro Kumano. Collision Probability Matching Loss for Disentangling Epistemic Uncertainty from Aleatoric Uncertainty. 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 11355-11370, PMLR, 2023. [doi]

@inproceedings{NarimatsuOK23,
  title = {Collision Probability Matching Loss for Disentangling Epistemic Uncertainty from Aleatoric Uncertainty},
  author = {Hiromi Narimatsu and Mayuko Ozawa and Shiro Kumano},
  year = {2023},
  url = {https://proceedings.mlr.press/v206/narimatsu23a.html},
  researchr = {https://researchr.org/publication/NarimatsuOK23},
  cites = {0},
  citedby = {0},
  pages = {11355-11370},
  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},
}