Léo Gautheron

According to our database, Léo Gautheron authored at least 8 papers between 2018 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

MetaAP: A meta-tree-based ranking algorithm optimizing the average precision from imbalanced data.

Rémi Viola, Léo Gautheron, Amaury Habrard, Marc Sebban

Pattern Recognit. Lett., 2022

2021

POT: Python Optimal Transport.

Rémi Flamary, Nicolas Courty, Alexandre Gramfort, Mokhtar Z. Alaya, Aurélie Boisbunon, Stanislas Chambon, Laetitia Chapel, Adrien Corenflos, Kilian Fatras, Nemo Fournier, Léo Gautheron, Nathalie T. H. Gayraud, Hicham Janati, Alain Rakotomamonjy, Ievgen Redko, Antoine Rolet, Antony Schutz, Vivien Seguy, Danica J. Sutherland, Romain Tavenard, Alexander Tong, Titouan Vayer

J. Mach. Learn. Res., 2021

2020

Construction de Représentation de Données Adaptées dans le Cadre de Peu d'Exemples Étiquetés. (Learning Tailored Data Representations from Few Labeled Examples).

Léo Gautheron

PhD thesis, 2020

Metric Learning from Imbalanced Data with Generalization Guarantees.

Léo Gautheron, Amaury Habrard, Emilie Morvant, Marc Sebban

Pattern Recognit. Lett., 2020

Landmark-Based Ensemble Learning with Random Fourier Features and Gradient Boosting.

Léo Gautheron, Pascal Germain, Amaury Habrard, Guillaume Metzler, Emilie Morvant, Marc Sebban, Valentina Zantedeschi

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

2019

Learning Landmark-Based Ensembles with Random Fourier Features and Gradient Boosting.

Léo Gautheron, Pascal Germain, Amaury Habrard, Emilie Morvant, Marc Sebban, Valentina Zantedeschi

CoRR, 2019

Metric Learning from Imbalanced Data.

Léo Gautheron, Amaury Habrard, Emilie Morvant, Marc Sebban

Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019

2018

Feature Selection for Unsupervised Domain Adaptation Using Optimal Transport.

Léo Gautheron, Ievgen Redko, Carole Lartizien

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018