| Bayesian Dirichlet mixture model for multivariate extremes: a re-parametrization A Sabourin, P Naveau Computational Statistics & Data Analysis 71, 542-567, 2014 | 77 | 2014 |
| Sparse Representation of Multivariate Extremes with Applications to Anomaly Detection N Goix, A Sabourin, S Clémençon Journal of Multivariate Analysis 161, 12-31, 2017 | 68* | 2017 |
| Bayesian model averaging for multivariate extremes A Sabourin, P Naveau, AL Fougeres Extremes 16, 325-350, 2013 | 39 | 2013 |
| Principal component analysis for multivariate extremes H Drees, A Sabourin | 33 | 2021 |
| Learning the dependence structure of rare events: a non-asymptotic study N Goix, A Sabourin, S Clémen Conference on Learning Theory, 843-860, 2015 | 30 | 2015 |
| Feature clustering for extreme events analysis, with application to extreme stream-flow data M Chiapino, A Sabourin New Frontiers in Mining Complex Patterns: 5th International Workshop, NFMCP …, 2017 | 29 | 2017 |
| Identifying groups of variables with the potential of being large simultaneously M Chiapino, A Sabourin, J Segers Extremes 22, 193-222, 2019 | 28 | 2019 |
| Heavy-tailed representations, text polarity classification & data augmentation H Jalalzai, P Colombo, C Clavel, É Gaussier, G Varni, E Vignon, ... Neurips 33, 4295--4307, 2020 | 25 | 2020 |
| On anomaly ranking and excess-mass curves N Goix, A Sabourin, S Clémençon Artificial Intelligence and Statistics, 287-295, 2015 | 24 | 2015 |
| On binary classification in extreme regions H Jalalzai, S Clémençon, A Sabourin Advances in Neural Information Processing Systems 31, 2018 | 21 | 2018 |
| Anomaly Detection in Extreme Regions via Empirical MV-sets on the Sphere. A Thomas, S Clémençon, A Gramfort, A Sabourin AISTATS 54, 2017 | 18 | 2017 |
| Combining regional estimation and historical floods: A multivariate semiparametric peaks‐over‐threshold model with censored data A Sabourin, B Renard Water Resources Research 51 (12), 9646-9664, 2015 | 13 | 2015 |
| A multivariate extreme value theory approach to anomaly clustering and visualization M Chiapino, S Clémençon, V Feuillard, A Sabourin Computational Statistics 35 (2), 607-628, 2020 | 11 | 2020 |
| Max K-Armed Bandit: On the ExtremeHunter Algorithm and Beyond M Achab, S Clémençon, A Garivier, A Sabourin, C Vernade Machine Learning and Knowledge Discovery in Databases: European Conference …, 2017 | 11 | 2017 |
| Concentration bounds for the empirical angular measure with statistical learning applications S Clémençon, H Jalalzai, S Lhaut, A Sabourin, J Segers arXiv preprint arXiv:2104.03966, 2021 | 10 | 2021 |
| Marginal standardization of upper semicontinuous processes. with application to max-stable processes A Sabourin, J Segers Journal of Applied Probability 54 (3), 773-796, 2017 | 9 | 2017 |
| Principal component analysis for multivariate extremes A Sabourin, H Drees arXiv preprint arXiv:1906.11043, 2019 | 7 | 2019 |
| Semi-parametric modeling of excesses above high multivariate thresholds with censored data A Sabourin Journal of Multivariate Analysis 136, 126-146, 2015 | 6 | 2015 |
| Uniform concentration bounds for frequencies of rare events S Lhaut, A Sabourin, J Segers Statistics & Probability Letters 189, 109610, 2022 | 4 | 2022 |
| Tail inverse regression for dimension reduction with extreme response A Aghbalou, F Portier, A Sabourin, C Zhou arXiv preprint arXiv:2108.01432, 2021 | 4 | 2021 |
Hamid JalalzaiTélécom Paris, Institut polytechnique de ParisVerified email at telecom-paris.fr
