Publications and Preprints

An Augmented Lagrangian Method for Faster Spectral Clustering with Fairness Constraints (submitted)
Francesco Tonin, Alex Lambert, Johan Suykens, Volkan Cevher   [ preprint to come ]

Learning in Feature Spaces via Coupled Covariances: Asymmetric Kernel SVD and Nyström method (ICML 2024)
Qinghua Tao, Francesco Tonin, Alex Lambert, Yingyi Chen, Panos Patrinos, Johan Suykens   [paper]

Extending Kernel PCA through Dualization: Sparsity, Robustness, and Fast Algorithms (ICML 2023)
Francesco Tonin*, Alex Lambert*, Panos Patrinos, Johan Suykens   [paper, code]

Functional Output Regression with Infimal Convolution: Exploring the Huber and epsilon-insensitive Losses (ICML 2022)
Alex Lambert, Dimitri Bouche, Zoltan Szabo, Florence d'Alché-Buc   [paper, code]

Emotion Transfer Using Vector-Valued Infinite Task Learning (preprint)
Alex Lambert*, Sanjeel Parekh*, Zoltan Szabo, Florence d'Alché-Buc   [paper, code]

Duality in RKHSs with Infinite Dimensional Outputs: Application to Robust Losses (ICML 2020)
Pierre Laforgue, Alex Lambert, Luc Brogat-Motte, Florence d'Alché-Buc   [paper]

A Functional Extension of Multi-Output Learning (AMTL Workshop, ICML 2019)
Alex Lambert*, Romain Brault*, Zoltan Szabo, Florence d'Alché-Buc   [paper]

Infinite Task Learning in RKHSs (AISTATS 2019)
Romain Brault*, Alex Lambert*, Zoltan Szabo, Maxime Sangnier, Florence d'Alché-Buc   [paper, poster, code]