When ot meets mom: Robust estimation of wasserstein distance G Staerman, P Laforgue, P Mozharovskyi, F d’Alché-Buc
International Conference on Artificial Intelligence and Statistics, 136-144, 2021
31 2021 Autoencoding any data through kernel autoencoders P Laforgue, S Clémençon, F d’Alché-Buc
The 22nd International Conference on Artificial Intelligence and Statistics …, 2019
26 2019 Duality in RKHSs with infinite dimensional outputs: Application to robust losses P Laforgue, A Lambert, L Brogat-Motte, F d’Alché-Buc
International Conference on Machine Learning, 5598-5607, 2020
20 * 2020 On Medians of (Randomized) Pairwise Means P Laforgue, S Clémençon, P Bertail
International Conference on Machine Learning, 1272-1281, 2019
14 2019 A last switch dependent analysis of satiation and seasonality in bandits P Laforgue, G Clerici, N Cesa-Bianchi, R Gilad-Bachrach
International Conference on Artificial Intelligence and Statistics, 971-990, 2022
13 * 2022 Generalization bounds in the presence of outliers: a median-of-means study P Laforgue, G Staerman, S Clémençon
International Conference on Machine Learning, 5937-5947, 2021
12 2021 Statistical learning from biased training samples S Clémençon, P Laforgue
Electronic Journal of Statistics 16 (2), 6086-6134, 2022
9 2022 Multitask online mirror descent N Cesa-Bianchi, P Laforgue, A Paudice, M Pontil
arXiv preprint arXiv:2106.02393, 2021
6 2021 Linear bandits with memory: from rotting to rising G Clerici, P Laforgue, N Cesa-Bianchi
arXiv preprint arXiv:2302.08345, 2023
4 2023 Fast Kernel Methods for Generic Lipschitz Losses via TE Ahmad, P Laforgue, F d'Alché-Buc
arXiv preprint arXiv:2206.03827, 2022
3 * 2022 Sketch in, sketch out: Accelerating both learning and inference for structured prediction with kernels T El Ahmad, L Brogat-Motte, P Laforgue, F d’Alché-Buc
International Conference on Artificial Intelligence and Statistics, 109-117, 2024
2 2024 Fighting selection bias in statistical learning: application to visual recognition from biased image databases S Clémençon, P Laforgue, R Vogel
Journal of Nonparametric Statistics, 1-24, 2023
1 2023 Multitask Learning with No Regret: from Improved Confidence Bounds to Active Learning PG Sessa, P Laforgue, N Cesa-Bianchi, A Krause
Advances in Neural Information Processing Systems 36, 2024
2024 Multitask Online Learning: Listen to the Neighborhood Buzz J Achddou, N Cesa-Bianchi, P Laforgue
arXiv preprint arXiv:2310.17385, 2023
2023 Deep kernel representation learning for complex data and reliability issues P Laforgue
Institut polytechnique de Paris, 2020
2020 
Florence d'Alché-BucTélécom Paris, Institut Polytechnique de ParisEmail verificata su telecom-paris.fr
