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 Infinite task learning in RKHSs R Brault, A Lambert, Z Szabó, M Sangnier, F d’Alché-Buc
The 22nd International Conference on Artificial Intelligence and Statistics …, 2019
15 2019 Functional Output Regression with Infimal Convolution: Exploring the Huber and -insensitive Losses A Lambert, D Bouche, Z Szabo, F d’Alché-Buc
International Conference on Machine Learning, 11844-11867, 2022
4 2022 Emotion Transfer Using Vector-Valued Infinite Task Learning A Lambert, S Parekh, Z Szabó, F d'Alché-Buc
arXiv preprint arXiv:2102.05075, 2021
2 2021 Extending kernel PCA through dualization: sparsity, robustness and fast algorithms F Tonin, A Lambert, P Patrinos, J Suykens
International Conference on Machine Learning, 34379-34393, 2023
2023 Continuous emotion transfer using kernels A Lambert, S Parekh, Z Szabo, F d'Alché-Buc
2021 Learning function-valued functions in reproducible kernel Hilbert spaces with integral losses: Application to infinite task learning A Lambert
Institut polytechnique de Paris, 2021
2021 A Functional Extension of Multi-Output Learning A Lambert, R Brault, Z Szabo, F d’Alché-Buc