A Probabilistic Theory of Supervised Similarity Learning: Pairwise Bipartite Ranking and Pointwise ROC Curve Optimization

Stéphan Clémençon 1, 2 Robin Vogel 1, 2 Aurélien Bellet 1, 2, 3
1 S2A - Signal, Statistique et Apprentissage
LTCI - Laboratoire Traitement et Communication de l'Information
3 MAGNET - Machine Learning in Information Networks
Inria Lille - Nord Europe, CRIStAL - Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) - UMR 9189
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Conference papers
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https://hal.telecom-paristech.fr/hal-02288518
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Submitted on : Saturday, September 14, 2019 - 6:54:36 PM
Last modification on : Thursday, October 17, 2019 - 12:37:03 PM

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Stéphan Clémençon, Robin Vogel, Aurélien Bellet. A Probabilistic Theory of Supervised Similarity Learning: Pairwise Bipartite Ranking and Pointwise ROC Curve Optimization. ICML 2018 - Thirty-fifth International Conference on Machine Learning, Jul 2018, Stockholm, Sweden. ⟨hal-02288518⟩

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