Increasing Diamonds. - Olivier Bodini; Matthieu Dien; Xavier Fontaine; Antoine Genitrini; Hsien-Kuei Hwang (LATIN, 2016)

Face recognition in real-world images. - Xavier Fontaine; Radhakrishna Achanta; Sabine Süsstrunk (ICASSP, 2017)

Regularized Contextual Bandits. - Xavier Fontaine; Quentin Berthet; Vianney Perchet (AISTATS, 2019)

A Problem-Adaptive Algorithm for Resource Allocation. - Xavier Fontaine; Shie Mannor; Vianney Perchet (CoRR, 2019)

Active Linear Regression. - Xavier Fontaine; Pierre Perrault; Vianney Perchet (CoRR, 2019)

An adaptive stochastic optimization algorithm for resource allocation. - Xavier Fontaine; Shie Mannor; Vianney Perchet (ALT, 2020)

Quantitative Propagation of Chaos for SGD in Wide Neural Networks. - Valentin De Bortoli; Alain Durmus; Xavier Fontaine; Umut Simsekli (NeurIPS, 2020)

Convergence rates and approximation results for SGD and its continuous-time counterpart. - Xavier Fontaine; Valentin De Bortoli; Alain Durmus (COLT, 2021)

Online A-Optimal Design and Active Linear Regression. - Xavier Fontaine; Pierre Perrault; Michal Valko; Vianney Perchet (ICML, 2021)

Multilingual Clinical NER: Translation or Cross-lingual Transfer? - Félix Gaschi; Xavier Fontaine; Parisa Rastin; Yannick Toussaint (ClinicalNLP@ACL, 2023)