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Alex Lambert
Alex Lambert
Postdoctoral fellow, KU Leuven
Verified email at kuleuven.be - Homepage
Title
Cited by
Cited by
Year
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
23*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
152019
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
82022
Learning in Feature Spaces via Coupled Covariances: Asymmetric Kernel SVD and Nystr\" om method
Q Tao, F Tonin, A Lambert, Y Chen, P Patrinos, JAK Suykens
arXiv preprint arXiv:2406.08748, 2024
22024
Emotion Transfer Using Vector-Valued Infinite Task Learning
A Lambert, S Parekh, Z Szabó, F d'Alché-Buc
arXiv preprint arXiv:2102.05075, 2021
22021
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
12023
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
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Articles 1–9