Alex Lambert

15 papers A* 5A 1Journal 8Unranked 1
YearRankTypeTitle / Venue / Authors
2025 A* conf
Accelerating Spectral Clustering under Fairness Constraints.
ICML
Francesco Tonin, Alex Lambert, Johan A. K. Suykens, Volkan Cevher
2025 J jnl
Accelerating Spectral Clustering under Fairness Constraints.
CoRR
Francesco Tonin, Alex Lambert, Johan A. K. Suykens, Volkan Cevher
2024 A* conf
Learning in Feature Spaces via Coupled Covariances: Asymmetric Kernel SVD and Nyström method.
ICML
Qinghua Tao, Francesco Tonin, Alex Lambert, Yingyi Chen, Panagiotis Patrinos, Johan A. K. Suykens
2024 J jnl
Learning in Feature Spaces via Coupled Covariances: Asymmetric Kernel SVD and Nyström method.
CoRR
Qinghua Tao, Francesco Tonin, Alex Lambert, Yingyi Chen, Panagiotis Patrinos, Johan A. K. Suykens
2023 A* conf
Extending Kernel PCA through Dualization: Sparsity, Robustness and Fast Algorithms.
ICML
Francesco Tonin, Alex Lambert, Panagiotis Patrinos, Johan A. K. Suykens
2023 J jnl
Extending Kernel PCA through Dualization: Sparsity, Robustness and Fast Algorithms.
CoRR
Francesco Tonin, Alex Lambert, Panagiotis Patrinos, Johan A. K. Suykens
2022 A* conf
Functional Output Regression with Infimal Convolution: Exploring the Huber and ε-insensitive Losses.
ICML
Alex Lambert, Dimitri Bouche, Zoltán Szabó, Florence d'Alché-Buc
2022 J jnl
Functional Output Regression with Infimal Convolution: Exploring the Huber and ε-insensitive Losses.
CoRR
Alex Lambert, Dimitri Bouche, Zoltán Szabó, Florence d'Alché-Buc
2021 J jnl
Emotion Transfer Using Vector-Valued Infinite Task Learning.
CoRR
Alex Lambert, Sanjeel Parekh, Zoltán Szabó, Florence d'Alché-Buc
2020 A* conf
Duality in RKHSs with Infinite Dimensional Outputs: Application to Robust Losses.
ICML
Pierre Laforgue, Alex Lambert, Luc Brogat-Motte, Florence d'Alché-Buc
2019 A conf
Infinite Task Learning in RKHSs.
AISTATS
Romain Brault, Alex Lambert, Zoltán Szabó, Maxime Sangnier, Florence d'Alché-Buc
2019 J jnl
On the Dualization of Operator-Valued Kernel Machines.
CoRR
Pierre Laforgue, Alex Lambert, Luc Motte, Florence d'Alché-Buc
2018 J jnl
Infinite-Task Learning with Vector-Valued RKHSs.
CoRR
Romain Brault, Alex Lambert, Zoltán Szabó, Maxime Sangnier, Florence d'Alché-Buc
2016 — conf
Disaster Data Assemblages: Five Perspectives on Social Media and Communities in Response and Recovery.
HICSS
Alex Lambert
2016 J jnl
Intimacy and social capital on Facebook: Beyond the psychological perspective.
New Media Soc.
Alex Lambert