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A Probabilistic Theory of Supervised Similarity Learning for Pointwise
  ROC Curve Optimization

A Probabilistic Theory of Supervised Similarity Learning for Pointwise ROC Curve Optimization

International Conference on Machine Learning (ICML), 2018
18 July 2018
Robin Vogel
A. Bellet
Nathan Huet
ArXiv (abs)PDFHTML

Papers citing "A Probabilistic Theory of Supervised Similarity Learning for Pointwise ROC Curve Optimization"

7 / 7 papers shown
Assessing Uncertainty in Similarity Scoring: Performance & Fairness in
  Face Recognition
Assessing Uncertainty in Similarity Scoring: Performance & Fairness in Face RecognitionInternational Conference on Learning Representations (ICLR), 2022
Jean-Rémy Conti
Stéphan Clémençon
UQCV
154
3
0
14 Nov 2022
A New Similarity Space Tailored for Supervised Deep Metric Learning
A New Similarity Space Tailored for Supervised Deep Metric LearningACM Transactions on Intelligent Systems and Technology (ACM TIST), 2020
P. H. Barros
Fabiane Queiroz
Flavio Figueredo
J. A. dos Santos
Heitor S. Ramos
DRL
185
8
0
16 Nov 2020
Pairwise Supervision Can Provably Elicit a Decision Boundary
Pairwise Supervision Can Provably Elicit a Decision BoundaryInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2020
Han Bao
Takuya Shimada
Liyuan Xu
Issei Sato
Masashi Sugiyama
189
11
0
11 Jun 2020
Learning Fair Scoring Functions: Bipartite Ranking under ROC-based
  Fairness Constraints
Learning Fair Scoring Functions: Bipartite Ranking under ROC-based Fairness Constraints
Robin Vogel
A. Bellet
Nathan Huet
FaML
131
12
0
19 Feb 2020
Metric Learning from Imbalanced Data
Metric Learning from Imbalanced DataIEEE International Conference on Tools with Artificial Intelligence (ICTAI), 2019
Léo Gautheron
Emilie Morvant
Amaury Habrard
M. Sebban
105
18
0
04 Sep 2019
On Tree-based Methods for Similarity Learning
On Tree-based Methods for Similarity LearningInternational Conference on Machine Learning, Optimization, and Data Science (MOD), 2019
Nathan Huet
Robin Vogel
143
1
0
21 Jun 2019
Trade-offs in Large-Scale Distributed Tuplewise Estimation and Learning
Trade-offs in Large-Scale Distributed Tuplewise Estimation and Learning
Robin Vogel
A. Bellet
Nathan Huet
Ons Jelassi
Guillaume Papa
105
1
0
21 Jun 2019
1