St'ephan Cl'emenccon

ON RECENT ADVANCES IN SUPERVISED RANKING FOR METABOLITE PROFILING

Charanpal Dhanjal, St'ephan Cl'emenccon, 2014 .

Learning to Rank Anomalies: Scalar Performance Criteria and Maximization of Two-Sample Rank Statistics

St'ephan Cl'emenccon, Myrto Limnios, Nathan Noiry, 2021 .

Concentration inequalities for two-sample rank processes with application to bipartite ranking

Nicolas Vayatis, St'ephan Cl'emenccon, Myrto Limnios, 2021, Electronic Journal of Statistics.

Concentration bounds for the empirical angular measure with statistical learning applications

Johan Segers, Anne Sabourin, Hamid Jalalzai, 2021 .

Statistical Depth Functions for Ranking Distributions: Definitions, Statistical Learning and Applications

Ekhine Irurozki, Morgane Goibert, Pavlo Mozharovskyi, 2022, AISTATS.

A Pseudo-Metric between Probability Distributions based on Depth-Trimmed Regions

Pavlo Mozharovskyi, Guillaume Staerman, Pierre Colombo, 2021 .

Multiresolution Analysis of Incomplete Rankings

St'ephan Cl'emenccon, Eric Sibony, St'ephan Cl'emenccon, 2014, 1403.1994.

Sparsity in Multivariate Extremes with Applications to Anomaly Detection

Anne Sabourin, St'ephan Cl'emenccon, Nicolas Goix, 2015, 1507.05899.

Optimal survey schemes for stochastic gradient descent with applications to M-estimation

Guillaume Papa, Patrice Bertail, Emilie Chautru, 2015, ESAIM: Probability and Statistics.