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All publications by Nicolas Usunier
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Optimizing F-Measures by Cost-Sensitive Classification
Shameem P. Parambath, Nicolas Usunier and Yves Grandvalet
Advances in Neural Information Processing Systems 27, 2014


Robust Bloom Filters for Large MultiLabel Classification Tasks
Moustapha M. Cisse, Nicolas Usunier, Thierry Arti\`eres and Patrick Gallinari
Advances in Neural Information Processing Systems 26, 2013


Translating Embeddings for Modeling Multi-relational Data
Antoine Bordes, Nicolas Usunier, Alberto Garcia-duran, Jason Weston and Oksana Yakhnenko
Advances in Neural Information Processing Systems 26, 2013


"On the (Non-)existence of Convex, Calibrated Surrogate Losses for Ranking"
Clément Calauzènes, Nicolas Usunier and Patrick Gallinari
Advances in Neural Information Processing Systems 25, 2012


Learning Scoring Functions with Order-Preserving Losses and Standardized Supervision
David Buffoni, Patrick Gallinari, Nicolas Usunier and Clément Calauzènes
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Label Ranking under Ambiguous Supervision for Learning Semantic Correspondences
Antoine Bordes, Nicolas Usunier and Jason Weston
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


Guarantees for Approximate Incremental SVMs
Nicolas Usunier, Antoine Bordes and Léon Bottou
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics (AISTATS-10), 2010


Towards Understanding Situated Natural Language
Antoine Bordes, Nicolas Usunier, Ronan Collobert and Jason Weston
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics (AISTATS-10), 2010


Ranking with ordered weighted pairwise classification
Nicolas Usunier, David Buffoni and Patrick Gallinari
Proceedings of the 26th International Conference on Machine Learning (ICML-09), 2009


Learning from Multiple Partially Observed Views - an Application to Multilingual Text Categorization
Massih Amini, Nicolas Usunier and Cyril Goutte
Advances in Neural Information Processing Systems 22, 2009


A Transductive Bound for the Voted Classifier with an Application to Semi-supervised Learning
Massih Amini, Nicolas Usunier and François Laviolette
Advances in Neural Information Processing Systems 21, 2008


PAC-Bayes Bounds for the Risk of the Majority Vote and the Variance of the Gibbs Classifier
Alexandre Lacasse, François Laviolette, Mario Marchand, Pascal Germain and Nicolas Usunier
Advances in Neural Information Processing Systems 19, 2006


Generalization error bounds for classifiers trained with interdependent data
Nicolas Usunier, Massih-reza Amini and Patrick Gallinari
Advances in Neural Information Processing Systems 18, 2005