Margin-aware adversarial domain adaptation with optimal transport S Dhouib, I Redko, C Lartizien
International conference on machine learning, 2514-2524, 2020
32 2020 A swiss army knife for minimax optimal transport S Dhouib, I Redko, T Kerdoncuff, R Emonet, M Sebban
International Conference on Machine Learning, 2504-2513, 2020
21 2020 Revisiting -similarity learning for domain adaptation S Dhouib, I Redko
Advances in Neural Information Processing Systems 31, 2018
8 2018 Connecting sufficient conditions for domain adaptation: source-guided uncertainty, relaxed divergences and discrepancy localization S Dhouib, S Maghsudi
arXiv preprint arXiv:2203.05076, 2022
3 2022 Hypothesis transfer in bandits by weighted models S Bilaj, S Dhouib, S Maghsudi
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2022
2 2022 On learning a large margin classifier for domain adaptation based on similarity functions S Dhouib, I Redko, C Lartizien
21 eme Conférence sur l'Apprentissage Automatique (CAp), 2019
1 2019 Meta Learning in Bandits within shared affine Subspaces S Bilaj, S Dhouib, S Maghsudi
International Conference on Artificial Intelligence and Statistics, 523-531, 2024
2024 Contributions to unsupervised domain adaptation: Similarity functions, optimal transport and theoretical guarantees S Dhouib
Université de Lyon, 2020
2020 Analyse théorique de l’apprentissage avec des fonctions de similarités pour l’adaptation de domaine S Dhouib, I Redko
Conférence sur l'Apprentissage Automatique 2018, 2018
2018