Robin Vogel

Publication Activity (10 Years)

Years Active: 2018-2021
Publications (10 Years): 13

Top Topics

Visual Recognition

Risk Minimization

Bipartite Ranking

Multiclass Classification

Top Venues

Publications

Robin Vogel, Stéphan Clémençon, Pierre Laforgue
Visual Recognition with Deep Learning from Biased Image Datasets. CoRR (2021)
Robin Vogel, Aurélien Bellet, Stéphan Clémençon
Learning Fair Scoring Functions: Bipartite Ranking under ROC-based Fairness Constraints. AISTATS (2021)
Robin Vogel, Stéphan Clémençon
A Multiclass Classification Approach to Label Ranking. AISTATS (2020)
Stéphan Clémençon, Robin Vogel
A Multiclass Classification Approach to Label Ranking. CoRR (2020)
Robin Vogel, Mastane Achab, Stéphan Clémençon, Charles Tillier
Weighted Empirical Risk Minimization: Sample Selection Bias Correction based on Importance Sampling. CoRR (2020)
Robin Vogel, Aurélien Bellet, Stéphan Clémençon
Learning Fair Scoring Functions: Fairness Definitions, Algorithms and Generalization Bounds for Bipartite Ranking. CoRR (2020)
Robin Vogel, Mastane Achab, Stéphan Clémençon, Charles Tillier
Weighted Emprirical Risk Minimization: Transfer Learning based on Importance Sampling. ESANN (2020)
Stéphan Clémençon, Robin Vogel
On Tree-Based Methods for Similarity Learning. LOD (2019)
Robin Vogel, Aurélien Bellet, Stéphan Clémençon, Ons Jelassi, Guillaume Papa
Trade-offs in Large-Scale Distributed Tuplewise Estimation and Learning. CoRR (2019)
Robin Vogel, Aurélien Bellet, Stéphan Clémençon, Ons Jelassi, Guillaume Papa
Trade-Offs in Large-Scale Distributed Tuplewise Estimation And Learning. ECML/PKDD (2) (2019)
Stéphan Clémençon, Robin Vogel
On Tree-based Methods for Similarity Learning. CoRR (2019)
Robin Vogel, Aurélien Bellet, Stéphan Clémençon
A Probabilistic Theory of Supervised Similarity Learning for Pointwise ROC Curve Optimization. CoRR (2018)
Robin Vogel, Aurélien Bellet, Stéphan Clémençon
A Probabilistic Theory of Supervised Similarity Learning for Pointwise ROC Curve Optimization. ICML (2018)