Disaster Data Assemblages: Five Perspectives on Social Media and Communities in Response and Recovery. - Alex Lambert (HICSS, 2016)

Intimacy and social capital on Facebook: Beyond the psychological perspective. - Alex Lambert (New Media Soc., 2016)

Infinite-Task Learning with Vector-Valued RKHSs. - Romain Brault; Alex Lambert; Zoltán Szabó; Maxime Sangnier; Florence d'Alché-Buc (CoRR, 2018)

Infinite Task Learning in RKHSs. - Romain Brault; Alex Lambert; Zoltán Szabó; Maxime Sangnier; Florence d'Alché-Buc (AISTATS, 2019)

On the Dualization of Operator-Valued Kernel Machines. - Pierre Laforgue; Alex Lambert; Luc Motte; Florence d'Alché-Buc (CoRR, 2019)

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

Emotion Transfer Using Vector-Valued Infinite Task Learning. - Alex Lambert; Sanjeel Parekh; Zoltán Szabó; Florence d'Alché-Buc (CoRR, 2021)

Functional Output Regression with Infimal Convolution: Exploring the Huber and ε-insensitive Losses. - Alex Lambert; Dimitri Bouche; Zoltán Szabó; Florence d'Alché-Buc (ICML, 2022)

Extending Kernel PCA through Dualization: Sparsity, Robustness and Fast Algorithms. - Francesco Tonin; Alex Lambert; Panagiotis Patrinos; Johan A. K. Suykens (ICML, 2023)

Learning in Feature Spaces via Coupled Covariances: Asymmetric Kernel SVD and Nyström method. - Qinghua Tao; Francesco Tonin; Alex Lambert; Yingyi Chen; Panagiotis Patrinos; Johan A. K. Suykens (ICML, 2024)

Accelerating Spectral Clustering under Fairness Constraints. - Francesco Tonin; Alex Lambert; Johan A. K. Suykens; Volkan Cevher (CoRR, 2025)