Alex Lambert

Joined

March 2018

Names

Alex Lambert

Emails

****@telecom-paristech.fr (Confirmed)

****@telecom-paris.fr (Confirmed)

****@protonmail.com (Confirmed)

****@kuleuven.be (Confirmed)

Personal Links

Homepage

Google Scholar

DBLP

Career & Education History

Researcher

ESAT, KU Leuven (kuleuven.be)

2024 – 2025

Postdoc

KU Leuven (kuleuven.be)

2021 – 2024

PhD student

Télécom ParisTech (enst.fr)

2017 – 2021

Advisors, Relations & Conflicts

Coauthor

Laforgue Pierre

2020 – 2021

PhD Advisor

D'alché-Buc Florence

2017 – 2021

PhD Advisor

Szabo Zoltan

2017 – 2021

Expertise

kernel methods

random features

Present

functional analysis

RKHS

Present

Publications

Accelerating Spectral Clustering under Fairness Constraints
Francesco Tonin, Alex Lambert, Johan Suykens, Volkan Cevher
- ICML 2025 poster
- Readers: Everyone
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 2024 Poster
- Readers: Everyone
Extending Kernel PCA through Dualization: Sparsity, Robustness and Fast Algorithms
Francesco Tonin, Alex Lambert, Panagiotis Patrinos, Johan Suykens
- ICML 2023 Poster
- Readers: Everyone
Functional Output Regression with Infimal Convolution: Exploring the Huber and ε-insensitive Losses
Alex Lambert, Dimitri Bouche, Zoltán Szabó, Florence d'Alché-Buc
- 2022 (modified: 23 Nov 2022)
- ICML 2022
- Readers: Everyone
Emotion Transfer Using Vector-Valued Infinite Task Learning
Alex Lambert, Sanjeel Parekh, Zoltán Szabó, Florence d'Alché-Buc
- 2021 (modified: 23 Nov 2022)
- CoRR 2021
- Readers: Everyone
Duality in RKHSs with Infinite Dimensional Outputs: Application to Robust Losses
Pierre Laforgue, Alex Lambert, Luc Brogat-Motte, Florence d'Alché-Buc
- 2020 (modified: 23 Nov 2022)
- ICML 2020
- Readers: Everyone
Infinite Task Learning in RKHSs
Romain Brault, Alex Lambert, Zoltán Szabó, Maxime Sangnier, Florence d'Alché-Buc
- 2019 (modified: 23 Nov 2022)
- AISTATS 2019
- Readers: Everyone

Alex Lambert

Names

Emails

Personal Links

Career & Education History

Advisors, Relations & Conflicts

Expertise

Publications

Accelerating Spectral Clustering under Fairness Constraints

Learning in Feature Spaces via Coupled Covariances: Asymmetric Kernel SVD and Nyström method

Extending Kernel PCA through Dualization: Sparsity, Robustness and Fast Algorithms

Functional Output Regression with Infimal Convolution: Exploring the Huber and ε-insensitive Losses

Emotion Transfer Using Vector-Valued Infinite Task Learning

Duality in RKHSs with Infinite Dimensional Outputs: Application to Robust Losses

Infinite Task Learning in RKHSs

Co-Authors