Skip to Main content Skip to Navigation
Conference papers

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 - UMR 9189
Document type :
Conference papers
Complete list of metadata

https://hal.telecom-paris.fr/hal-02288518
Contributor : Telecomparis Hal Connect in order to contact the contributor
Submitted on : Saturday, September 14, 2019 - 6:54:36 PM
Last modification on : Wednesday, November 3, 2021 - 6:17:57 AM

Identifiers

  • HAL Id : hal-02288518, version 1

Citation

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⟩

Share

Metrics

Record views

96