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Authors and Citation

Authors

  • René-M. Kruse. Author, maintainer, copyright holder.

Citation

Source: inst/CITATION

Kruse R (2026). vennabers: Venn-Abers Classification and Regression Calibration. R package version 1.0.0, https://github.com/RMKruse/vennabers. 

@Manual{vennabers,
  title = {{vennabers}: Venn-Abers Classification and Regression Calibration},
  author = {René-M. Kruse},
  year = {2026},
  note = {R package version 1.0.0},
  url = {https://github.com/RMKruse/vennabers},
}

Vovk V, Petej I (2014). “Venn-Abers Predictors.” In Proceedings of the Thirtieth Conference on Uncertainty in Artificial Intelligence (UAI 2014), 829–838. doi:10.48550/arXiv.1211.0025. 

@InProceedings{VovkPetej2014,
  title = {Venn-Abers Predictors},
  author = {Vladimir Vovk and Ivan Petej},
  booktitle = {Proceedings of the Thirtieth Conference on Uncertainty in Artificial Intelligence (UAI 2014)},
  pages = {829--838},
  year = {2014},
  publisher = {AUAI Press},
  doi = {10.48550/arXiv.1211.0025},
}

Vovk V, Petej I, Fedorova V (2015). “Large-Scale Probabilistic Predictors with and without Guarantees of Validity.” In Advances in Neural Information Processing Systems 28, 892–900. doi:10.48550/arXiv.1511.00213. 

@InProceedings{VovkPetejFedorova2015,
  title = {Large-Scale Probabilistic Predictors with and without Guarantees of Validity},
  author = {Vladimir Vovk and Ivan Petej and Valentina Fedorova},
  booktitle = {Advances in Neural Information Processing Systems 28},
  pages = {892--900},
  year = {2015},
  doi = {10.48550/arXiv.1511.00213},
}

Manokhin V (2017). “Multi-Class Probabilistic Classification Using Inductive and Cross Venn-Abers Predictors.” In Proceedings of the Sixth Workshop on Conformal and Probabilistic Prediction and Applications, volume 60 series Proceedings of Machine Learning Research, 228–240. https://proceedings.mlr.press/v60/manokhin17a.html. 

@InProceedings{Manokhin2017,
  title = {Multi-Class Probabilistic Classification Using Inductive and Cross Venn-Abers Predictors},
  author = {Valery Manokhin},
  booktitle = {Proceedings of the Sixth Workshop on Conformal and Probabilistic Prediction and Applications},
  series = {Proceedings of Machine Learning Research},
  volume = {60},
  pages = {228--240},
  year = {2017},
  publisher = {PMLR},
  url = {https://proceedings.mlr.press/v60/manokhin17a.html},
}

Dimitriadis T, Gneiting T, Jordan A (2021). “Stable Reliability Diagrams for Probabilistic Classifiers.” Proceedings of the National Academy of Sciences, 118(8), e2016191118. doi:10.1073/pnas.2016191118. 

@Article{DimitriadisGneitingJordan2021,
  title = {Stable Reliability Diagrams for Probabilistic Classifiers},
  author = {Timo Dimitriadis and Tilmann Gneiting and Alexander I. Jordan},
  journal = {Proceedings of the National Academy of Sciences},
  volume = {118},
  number = {8},
  pages = {e2016191118},
  year = {2021},
  doi = {10.1073/pnas.2016191118},
}