Citing MRCpy

For more information about the methods available in MRCpy library, one can refer to the following resources:

[1] Bondugula, K., Mazuelas, S., Pérez, A., & Liu, A. (2026). Minimax Generalized Cross-Entropy. In Proceedings of the International Conference on Artificial Intelligence and Statistics (AISTATS).

@inproceedings{BonMazPerLiu:26,
   title={Minimax Generalized Cross-Entropy},
   author={Bondugula, Kartheek and Mazuelas, Santiago and P{\'e}rez, Aritz and Liu, Anqi},
   booktitle={Proceedings of the International Conference on Artificial Intelligence and Statistics (AISTATS)},
   year={2026}
}

[2] Bondugula, K., Mazuelas, S., & Pérez, A. (2025). Efficient Large-Scale Learning of Minimax Risk Classifiers. IEEE International Conference on Data Mining (ICDM).

@inproceedings{BonMazPer:25,
   title={Efficient Large-Scale Learning of Minimax Risk Classifiers},
   author={Bondugula, Kartheek and Mazuelas, Santiago and P{\'e}rez, Aritz},
   booktitle={IEEE International Conference on Data Mining (ICDM)},
   year={2025}
}

[3] Mazuelas, S., Romero, M., & Grunwald, P. (2023). Minimax Risk Classifiers with 0-1 Loss. Journal of Machine Learning Research, 24(208), 1-48.

@article{MazRomGrun:23,
   author = {Mazuelas, Santiago and Romero, Mauricio and Grunwald, Peter},
   title = {Minimax Risk Classifiers with 0-1 Loss},
   journal={Journal of Machine Learning Research},
   volume = {24},
   number = {208},
   pages = {1--48},
   year={2023}
}

[4] Bondugula, K., Mazuelas, S., & Pérez, A. (2023). Efficient Learning of Minimax Risk Classifiers in High Dimensions. The 39th Conference on Uncertainty in Artificial Intelligence (UAI), 206-215.

@inproceedings{BonMazPer:23,
   title={Efficient Learning of Minimax Risk Classifiers in High Dimensions},
   author={Bondugula, Kartheek and Mazuelas, Santiago and P{\'e}rez, Aritz},
   booktitle={The 39th Conference on Uncertainty in Artificial Intelligence (UAI)},
   pages={206--215},
   year={2023}
}

[5] Segovia-Martín, J.I., Mazuelas, S., & Liu, A. (2023). Double-Weighting for Covariate Shift Adaptation. In Proceedings of the 40th International Conference on Machine Learning (ICML), pp. 30439-30457.

@inproceedings{SegMazLiu:23,
   title={Double-Weighting for Covariate Shift Adaptation},
   author={Segovia-Mart{\'i}n, Jos{\'e} I. and Mazuelas, Santiago and Liu, Anqi},
   booktitle={Proceedings of the 40th International Conference on Machine Learning (ICML)},
   pages={30439--30457},
   year={2023}
}

[6] Mazuelas, S., Shen, Y., & Pérez, A. (2022). Generalized Maximum Entropy for Supervised Classification. IEEE Transactions on Information Theory, 68(4), 2530-2550.

@article{MazShePer:22,
   author = {Santiago Mazuelas and Yuan Shen and Aritz P\'{e}rez},
   title = {Generalized Maximum Entropy for Supervised Classification},
   journal={IEEE Transactions on Information Theory},
   volume = {68},
   number = {4},
   pages = {2530-2550},
   year={2022}
}

[7] Álvarez, V., Mazuelas, S., & Lozano, J.A. (2022). Minimax Classification under Concept Drift with Multidimensional Adaptation and Performance Guarantees. In Proceedings of the 39th International Conference on Machine Learning (ICML), pp. 486-499.

@inproceedings{AlvMazLoz:22,
   title={Minimax Classification under Concept Drift with Multidimensional Adaptation and Performance Guarantees},
   author={{\'A}lvarez, Ver{\'o}nica and Mazuelas, Santiago and Lozano, Jos{\'e} A.},
   booktitle={Proceedings of the 39th International Conference on Machine Learning (ICML)},
   pages={486--499},
   year={2022}
}

[8] Bondugula, K., Álvarez, V., Segovia-Martín, J.I., Pérez, A., & Mazuelas, S. (2021). MRCpy: A Library for Minimax Risk Classifiers. arXiv preprint arXiv:2108.01952.

@article{bondugula2021mrcpy,
   title={MRCpy: A Library for Minimax Risk Classifiers},
   author={Bondugula, Kartheek and {\'A}lvarez, Ver{\'o}nica and Segovia-Mart{\'i}n, Jos{\'e} I. and P{\'e}rez, Aritz and Mazuelas, Santiago},
   journal={arXiv preprint arXiv:2108.01952},
   year={2021}
}

[9] Mazuelas, S., Zanoni, A., & Pérez, A. (2020). Minimax Classification with 0-1 Loss and Performance Guarantees. Advances in Neural Information Processing Systems, 33, 302-312.

@article{mazuelas2020minimax,
   title={Minimax Classification with 0-1 Loss and Performance Guarantees},
   author={Mazuelas, Santiago and Zanoni, Andrea and P{\'e}rez, Aritz},
   journal={Advances in Neural Information Processing Systems},
   volume={33},
   pages={302--312},
   year={2020}
}