| Learning fair scoring functions: Bipartite ranking under roc-based fairness constraints R Vogel, A Bellet, S Clémençon International conference on artificial intelligence and statistics, 784-792, 2021 | 35* | 2021 |
| A probabilistic theory of supervised similarity learning for pointwise ROC curve optimization R Vogel, A Bellet, S Clémençon International Conference on Machine Learning, 5065-5074, 2018 | 23 | 2018 |
| Weighted empirical risk minimization: Sample selection bias correction based on importance sampling R Vogel, M Achab, S Clémençon, C Tillier arXiv preprint arXiv:2002.05145, 2020 | 14* | 2020 |
| A multiclass classification approach to label ranking R Vogel, S Clémen International conference on artificial intelligence and statistics, 1421-1430, 2020 | 6 | 2020 |
| Fighting selection bias in statistical learning: application to visual recognition from biased image databases S Clémençon, P Laforgue, R Vogel Journal of Nonparametric Statistics, 1-24, 2023 | 1 | 2023 |
| Trade-offs in large-scale distributed tuplewise estimation and learning R Vogel, A Bellet, S Clémençon, O Jelassi, G Papa Machine Learning and Knowledge Discovery in Databases: European Conference …, 2020 | 1 | 2020 |
| Visual Recognition with Deep Learning from Biased Image Datasets R Vogel, S Clémençon, P Laforgue arXiv e-prints, arXiv: 2109.02357, 2021 | | 2021 |
| Similarity ranking for biometrics: theory and practice R Vogel Institut polytechnique de Paris, 2020 | | 2020 |
| On Tree-based Methods for Similarity Learning S Clémençon, R Vogel International Conference on Machine Learning, Optimization, and Data Science …, 2019 | | 2019 |
Aurélien BelletResearch scientist at INRIA在 inria.fr 的电子邮件经过验证
