Lambert, Alex

7 publications

ICML 2025 Accelerating Spectral Clustering Under Fairness Constraints Francesco Tonin, Alex Lambert, Johan Suykens, Volkan Cevher

ICML 2024 Learning in Feature Spaces via Coupled Covariances: Asymmetric Kernel SVD and Nyström Method Qinghua Tao, Francesco Tonin, Alex Lambert, Yingyi Chen, Panagiotis Patrinos, Johan Suykens

ICML 2023 Extending Kernel PCA Through Dualization: Sparsity, Robustness and Fast Algorithms Francesco Tonin, Alex Lambert, Panagiotis Patrinos, Johan Suykens

ICML 2022 Functional Output Regression with Infimal Convolution: Exploring the Huber and $ε$-Insensitive Losses Alex Lambert, Dimitri Bouche, Zoltan Szabo, Florence D’Alché-Buc

ICML 2020 Duality in RKHSs with Infinite Dimensional Outputs: Application to Robust Losses Pierre Laforgue, Alex Lambert, Luc Brogat-Motte, Florence D’Alché-Buc

ICMLW 2019 A Functional Extension of Multi-Output Learning Alex Lambert, Romain Brault, Zoltan Szabo, Florence d'Alche-Buc

AISTATS 2019 Infinite Task Learning in RKHSs Romain Brault, Alex Lambert, Zoltan Szabo, Maxime Sangnier, Florence d’Alche-Buc