Robin Vogel

According to our database, Robin Vogel authored at least 10 papers between 2018 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

Visual Recognition with Deep Learning from Biased Image Datasets.

Robin Vogel, Stéphan Clémençon, Pierre Laforgue

CoRR, 2021

Learning Fair Scoring Functions: Bipartite Ranking under ROC-based Fairness Constraints.

Robin Vogel, Aurélien Bellet, Stéphan Clémençon

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

Ordonnancement par similarité pour la biométrie : théorie et pratique. (Similarity ranking for biometrics : theory and practice).

Robin Vogel

PhD thesis, 2020

Learning Fair Scoring Functions: Fairness Definitions, Algorithms and Generalization Bounds for Bipartite Ranking.

Robin Vogel, Aurélien Bellet, Stéphan Clémençon

CoRR, 2020

Weighted Empirical Risk Minimization: Sample Selection Bias Correction based on Importance Sampling.

Robin Vogel, Mastane Achab, Stéphan Clémençon, Charles Tillier

CoRR, 2020

Weighted Emprirical Risk Minimization: Transfer Learning based on Importance Sampling.

Robin Vogel, Mastane Achab, Stéphan Clémençon, Charles Tillier

Proceedings of the 28th European Symposium on Artificial Neural Networks, 2020

A Multiclass Classification Approach to Label Ranking.

Robin Vogel, Stéphan Clémençon

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Trade-Offs in Large-Scale Distributed Tuplewise Estimation And Learning.

Robin Vogel, Aurélien Bellet, Stéphan Clémençon, Ons Jelassi, Guillaume Papa

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

On Tree-Based Methods for Similarity Learning.

Stéphan Clémençon, Robin Vogel

Proceedings of the Machine Learning, Optimization, and Data Science, 2019

2018

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

Robin Vogel, Aurélien Bellet, Stéphan Clémençon

Proceedings of the 35th International Conference on Machine Learning, 2018