Anne Sabourin
Anne Sabourin
LTCI, Télécom Paris, Institut polytechnique de Paris
Verified email at telecom-paris.fr - Homepage
Title
Cited by
Cited by
Year
Bayesian Dirichlet mixture model for multivariate extremes: a re-parametrization
A Sabourin, P Naveau
Computational Statistics & Data Analysis 71, 542-567, 2014
542014
Bayesian model averaging for multivariate extremes
A Sabourin, P Naveau, AL Fougeres
Extremes 16 (3), 325-350, 2013
282013
Sparse Representation of Multivariate Extremes with Applications to Anomaly Ranking.
N Goix, A Sabourin, S Clémençon
AISTATS, 75-83, 2016
252016
Sparse representation of multivariate extremes with applications to anomaly detection
N Goix, A Sabourin, S Clémençon
Journal of Multivariate Analysis 161, 12-31, 2017
222017
Learning the dependence structure of rare events: a non-asymptotic study
N Goix, A Sabourin, S Clémen
Conference on Learning Theory, 843-860, 2015
162015
Feature clustering for extreme events analysis, with application to extreme stream-flow data
M Chiapino, A Sabourin
International Workshop on New Frontiers in Mining Complex Patterns, 132-147, 2016
142016
Identifying groups of variables with the potential of being large simultaneously
M Chiapino, A Sabourin, J Segers
Extremes 22 (2), 193-222, 2019
112019
On binary classification in extreme regions
H Jalalzai, S Clémençon, A Sabourin
Advances in Neural Information Processing Systems, 3092-3100, 2018
102018
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
82017
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
82015
On anomaly ranking and excess-mass curves
N Goix, A Sabourin, S Clémençon
Artificial Intelligence and Statistics, 287-295, 2015
82015
Sparsity in multivariate extremes with applications to anomaly detection
N Goix, A Sabourin, S Clémençon
arXiv preprint arXiv:1507.05899, 2015
72015
Anomaly Detection in Extreme Regions via Empirical MV-sets on the Sphere.
A Thomas, S Clemencon, A Gramfort, A Sabourin
AISTATS, 1011-1019, 2017
62017
Max K-Armed Bandit: On the ExtremeHunter Algorithm and Beyond
M Achab, S Clémençon, A Garivier, A Sabourin, C Vernade
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2017
52017
Heavy-tailed Representations, Text Polarity Classification & Data Augmentation
H Jalalzai, P Colombo, C Clavel, E Gaussier, G Varni, E Vignon, ...
arXiv preprint arXiv:2003.11593, 2020
32020
Principal component analysis for multivariate extremes
H Drees, A Sabourin
arXiv preprint arXiv:1906.11043, 2019
32019
A multivariate extreme value theory approach to anomaly clustering and visualization
M Chiapino, S Clémençon, V Feuillard, A Sabourin
Computational Statistics, 1-22, 2019
22019
Semi-parametric modeling of excesses above high multivariate thresholds with censored data
A Sabourin
Journal of Multivariate Analysis 136, 126-146, 2015
22015
Convex analysis
O Fercoq, P Bianchi, A Sabourin
12015
Extremes-Lecture Notes Master 2 ‘Mathématiques et applications’, parcours ‘Mathématiques de l’aléatoire’, Orsay.
A Sabourin
2020
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