Bayesian Dirichlet mixture model for multivariate extremes: A re-parametrization. - Anne Sabourin; Philippe Naveau (Comput. Stat. Data Anal., 2014)

On Anomaly Ranking and Excess-Mass Curves. - Nicolas Goix; Anne Sabourin; Stéphan Clémençon (AISTATS, 2015)

Learning the dependence structure of rare events: a non-asymptotic study. - Nicolas Goix; Anne Sabourin; Stéphan Clémençon (COLT, 2015)

Semi-parametric modeling of excesses above high multivariate thresholds with censored data. - Anne Sabourin (J. Multivar. Anal., 2015)

Sparse Representation of Multivariate Extremes with Applications to Anomaly Ranking. - Nicolas Goix; Anne Sabourin; Stéphan Clémençon (AISTATS, 2016)

Feature Clustering for Extreme Events Analysis, with Application to Extreme Stream-Flow Data. - Maël Chiapino; Anne Sabourin (NFMCP@PKDD/ECML, 2016)

Anomaly Detection in Extreme Regions via Empirical MV-sets on the Sphere. - Albert Thomas 001; Stéphan Clémençon; Alexandre Gramfort; Anne Sabourin (AISTATS, 2017)

Max K-Armed Bandit: On the ExtremeHunter Algorithm and Beyond. - Mastane Achab; Stéphan Clémençon; Aurélien Garivier; Anne Sabourin; Claire Vernade (ECML/PKDD (2), 2017)

Marginal standardization of upper semicontinuous processes. With application to max-stable processes. - Anne Sabourin; Johan Segers (J. Appl. Probab., 2017)

Sparse representation of multivariate extremes with applications to anomaly detection. - Nicolas Goix; Anne Sabourin; Stéphan Clémençon (J. Multivar. Anal., 2017)

On Binary Classification in Extreme Regions. - Hamid Jalalzai; Stéphan Clémençon; Anne Sabourin (NeurIPS, 2018)

Heavy-tailed Representations, Text Polarity Classification & Data Augmentation. - Hamid Jalalzai; Pierre Colombo; Chloé Clavel; Éric Gaussier; Giovanna Varni; Emmanuel Vignon; Anne Sabourin (NeurIPS, 2020)

A multivariate extreme value theory approach to anomaly clustering and visualization. - Maël Chiapino; Stéphan Clémençon; Vincent Feuillard; Anne Sabourin (Comput. Stat., 2020)

On the bias of K-fold cross validation with stable learners. - Anass Aghbalou; Anne Sabourin; François Portier (AISTATS, 2023)

On Regression in Extreme Regions. - Nathan Huet; Stéphan Clémençon; Anne Sabourin (CoRR, 2023)

Sharp error bounds for imbalanced classification: how many examples in the minority class? - Anass Aghbalou; Anne Sabourin; François Portier (AISTATS, 2024)

Weibull mixture estimation based on censored data with applications to clustering in reliability engineering. - Florian Lamalle; Vincent Feuillard; Anne Sabourin; Stéphan Clémençon (Qual. Reliab. Eng. Int., 2024)

Multi-site modelling and reconstruction of past extreme skew surges along the French Atlantic coast. - Nathan Huet; Philippe Naveau; Anne Sabourin (CoRR, 2025)