Kirill Struminsky, Simon Lacoste-Julien, Anton Osokin. Quantifying Learning Guarantees for Convex but Inconsistent Surrogates. In Samy Bengio, Hanna M. Wallach, Hugo Larochelle, Kristen Grauman, Nicolò Cesa-Bianchi, Roman Garnett, editors, Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, NeurIPS 2018, 3-8 December 2018, Montréal, Canada. pages 667-675, 2018. [doi]
@inproceedings{StruminskyLO18,
title = {Quantifying Learning Guarantees for Convex but Inconsistent Surrogates},
author = {Kirill Struminsky and Simon Lacoste-Julien and Anton Osokin},
year = {2018},
url = {http://papers.nips.cc/paper/7347-quantifying-learning-guarantees-for-convex-but-inconsistent-surrogates},
researchr = {https://researchr.org/publication/StruminskyLO18},
cites = {0},
citedby = {0},
pages = {667-675},
booktitle = {Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, NeurIPS 2018, 3-8 December 2018, Montréal, Canada},
editor = {Samy Bengio and Hanna M. Wallach and Hugo Larochelle and Kristen Grauman and Nicolò Cesa-Bianchi and Roman Garnett},
}