We investigate the challenge of multi-output learning, where the goal is to learn a vector-
valued function based on a supervised data set. This includes a range of important problems …

In recent years, the multiclass and mutlilabel classification problems we encounter in many
applications have very large ($10^ 3$–$10^ 6$) number of classes. However, each instance …

This manuscript studies several problems of constrained classification. In this frameworks of
classification our goal is to construct an algorithm which performs as good as the best …

In this work we consider a problem of multi-label classification, where each instance is
associated with some binary vector. Our focus is to find a classifier which minimizes false …

Ce mémoire d'habilitation est une synthèse de mon travail de recherche réalisé depuis
l'obtention de mon poste de Maître de conférences à l'Université Gustave Eiffel en 2013. Ma …

Ce mémoire d'habilitation est une synthèse de mon travail de recherche réalisé depuis
l'obtention de mon poste de Maître de conférences à l'Université Gustave Eiffel en 2013. Ma …

In this introduction, I describe most of my research contributions starting from 2012. The
presentation is mostly chronological and represents the evolution of my research topics …