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Anne Sabourin
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2020 – today
- 2024
- [j6]Florian Lamalle, Vincent Feuillard, Anne Sabourin, Stéphan Clémençon:
Weibull mixture estimation based on censored data with applications to clustering in reliability engineering. Qual. Reliab. Eng. Int. 40(8): 4247-4261 (2024) - [c10]Anass Aghbalou, Anne Sabourin, François Portier:
Sharp error bounds for imbalanced classification: how many examples in the minority class? AISTATS 2024: 838-846 - 2023
- [c9]Anass Aghbalou, Anne Sabourin, François Portier:
On the bias of K-fold cross validation with stable learners. AISTATS 2023: 3775-3794 - [i4]Nathan Huet, Stéphan Clémençon, Anne Sabourin:
On Regression in Extreme Regions. CoRR abs/2303.03084 (2023) - [i3]Anass Aghbalou, François Portier, Anne Sabourin:
Sharp error bounds for imbalanced classification: how many examples in the minority class? CoRR abs/2310.14826 (2023) - 2020
- [j5]Maël Chiapino, Stéphan Clémençon, Vincent Feuillard, Anne Sabourin
:
A multivariate extreme value theory approach to anomaly clustering and visualization. Comput. Stat. 35(2): 607-628 (2020) - [c8]Hamid Jalalzai, Pierre Colombo, Chloé Clavel, Éric Gaussier, Giovanna Varni, Emmanuel Vignon, Anne Sabourin:
Heavy-tailed Representations, Text Polarity Classification & Data Augmentation. NeurIPS 2020 - [i2]Hamid Jalalzai, Pierre Colombo, Chloé Clavel, Éric Gaussier, Giovanna Varni, Emmanuel Vignon, Anne Sabourin
Heavy-tailed Representations, Text Polarity Classification & Data Augmentation. CoRR abs/2003.11593 (2020)
2010 – 2019
- 2018
- [c7]Hamid Jalalzai, Stéphan Clémençon, Anne Sabourin:
On Binary Classification in Extreme Regions. NeurIPS 2018: 3096-3104 - 2017
- [j4]Anne Sabourin, Johan Segers:
Marginal standardization of upper semicontinuous processes. With application to max-stable processes. J. Appl. Probab. 54(3): 773-796 (2017) - [j3]Nicolas Goix
Sparse representation of multivariate extremes with applications to anomaly detection. J. Multivar. Anal. 161: 12-31 (2017) - [c6]Albert Thomas, Stéphan Clémençon, Alexandre Gramfort, Anne Sabourin:
Anomaly Detection in Extreme Regions via Empirical MV-sets on the Sphere. AISTATS 2017: 1011-1019 - [c5]Mastane Achab
Max K-Armed Bandit: On the ExtremeHunter Algorithm and Beyond. ECML/PKDD (2) 2017: 389-404 - [i1]Mastane Achab, Stéphan Clémençon, Aurélien Garivier, Anne Sabourin, Claire Vernade:
Max K-armed bandit: On the ExtremeHunter algorithm and beyond. CoRR abs/1707.08820 (2017) - 2016
- [c4]Nicolas Goix, Anne Sabourin, Stéphan Clémençon:
Sparse Representation of Multivariate Extremes with Applications to Anomaly Ranking. AISTATS 2016: 75-83 - [c3]Maël Chiapino, Anne Sabourin:
Feature Clustering for Extreme Events Analysis, with Application to Extreme Stream-Flow Data. NFMCP@PKDD/ECML 2016: 132-147 - 2015
- [j2]Anne Sabourin
Semi-parametric modeling of excesses above high multivariate thresholds with censored data. J. Multivar. Anal. 136: 126-146 (2015) - [c2]Nicolas Goix, Anne Sabourin, Stéphan Clémençon:
On Anomaly Ranking and Excess-Mass Curves. AISTATS 2015 - [c1]Nicolas Goix, Anne Sabourin, Stéphan Clémençon:
Learning the dependence structure of rare events: a non-asymptotic study. COLT 2015: 843-860 - 2014
- [j1]Anne Sabourin
Bayesian Dirichlet mixture model for multivariate extremes: A re-parametrization. Comput. Stat. Data Anal. 71: 542-567 (2014)
Coauthor Index
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