| Empirical Bernstein inequalities for u-statistics T Peel, S Anthoine, L Ralaivola Advances in Neural Information Processing Systems 23, 2010 | 51 | 2010 |
| STRASS: A Light and Effective Method for Extractive Summarization Based on Sentence Embeddings L Bouscarrat, A Bonnefoy, T Peel, C Pereira Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019 | 24 | 2019 |
| DAEMA: Denoising Autoencoder with Mask Attention S Tihon, MU Javaid, D Fourure, N Posocco, T Peel International Conference on Artificial Neural Networks, 229-240, 2021 | 13 | 2021 |
| A Framework Using Contrastive Learning for Classification with Noisy Labels M Ciortan, R Dupuis, T Peel Data 6 (6), 61, 2021 | 11 | 2021 |
| Matching pursuit with stochastic selection T Peel, V Emiya, L Ralaivola, S Anthoine 2012 Proceedings of the 20th European Signal Processing Conference (EUSIPCO …, 2012 | 10 | 2012 |
| Stochastic low-rank kernel learning for regression P Machart, T Peel, L Ralaivola, S Anthoine, H Glotin arXiv preprint arXiv:1201.2416, 2012 | 6 | 2012 |
| Distributed Frank-Wolfe under Pipelined Stale Synchronous Parallelism NL Tran, T Peel, S Skhiri IEEE Big Data 2015, 184-192, 2015 | 4 | 2015 |
| Empirical Bernstein Inequality for Martingales: Application to Online Learning T Peel, S Anthoine, L Ralaivola | 3 | 2013 |
| Apprentissage Stochastique de Noyau de Rang Faible pour la Régression P Machart, T Peel, L Ralaivola, S Anthoine, H Glotin Actes de la 7ème Plateforme de l’Association Française pour l’Intelligence …, 2011 | 1 | 2011 |
| Metric learning for efficient search with high-dimensional multi-modal data V Deplasse, P Dupont, T Peel, A Cherif, J Lee Université Catholique de Louvain, 2017 | | 2017 |
| Algorithmes de Poursuite Stochastiques et Inégalités de Concentration Empiriques pour l’Apprentissage Statistique T Peel Aix-Marseille Université, 2013 | | 2013 |
Liva RalaivolaCriteo AI LabVerified email at criteo.com
