On the Design of Loss Functions for Classification: theory, robustness to outliers, and SavageBoost

Hamed Masnadi-Shirazi, Nuno Vasconcelos. On the Design of Loss Functions for Classification: theory, robustness to outliers, and SavageBoost. In Daphne Koller, Dale Schuurmans, Yoshua Bengio, Léon Bottou, editors, Advances in Neural Information Processing Systems 21, Proceedings of the Twenty-Second Annual Conference on Neural Information Processing Systems, Vancouver, British Columbia, Canada, December 8-11, 2008. pages 1049-1056, MIT Press, 2008. [doi]

@inproceedings{Masnadi-ShiraziV08,
  title = {On the Design of Loss Functions for Classification: theory, robustness to outliers, and SavageBoost},
  author = {Hamed Masnadi-Shirazi and Nuno Vasconcelos},
  year = {2008},
  url = {http://books.nips.cc/papers/files/nips21/NIPS2008_0584.pdf},
  tags = {classification, design},
  researchr = {https://researchr.org/publication/Masnadi-ShiraziV08},
  cites = {0},
  citedby = {0},
  pages = {1049-1056},
  booktitle = {Advances in Neural Information Processing Systems 21, Proceedings of the Twenty-Second Annual Conference on Neural Information Processing Systems, Vancouver, British Columbia, Canada, December 8-11, 2008},
  editor = {Daphne Koller and Dale Schuurmans and Yoshua Bengio and Léon Bottou},
  publisher = {MIT Press},
}