Anass Aghbalou
Welcome to my professional web page.
Short bio
Dec 2020 – 2023: P.h.D. at Télécom ParisTech.
Feb 2020 – Dec 2020: Research engineer in machine learning at Télécom ParisTech.
Oct 2018 – Nov 2019: Data scientist intern at Natixis Payment solutions .
Oct 2018 – Nov 2019: Master of Science in Statistics at Paris Dauphine university.
Apr 2018 – Sep 2018: Modeling engineer intern at Rio Tinto.
Sep 2015 – Sep 2018: Master of Science in Engineering at Ecole Centrale de Lyon .
Research Interests:
Model selection, Imbalanced Data, Extreme value theory, Transfer Learning, Algorithmic stability, Generalization performance of ML algorithms.
Papers
- Cross-validation for Extreme Value Analysis
Anass Aghbalou, Patrice Bertail, François Portier, Anne Sabourin.
[PDF] - Tail inverse regression for dimension reduction with extreme response [Bernoulli 2023]
Anass Aghbalou, François Portier, Anne Sabourin, Chen Zhou
[PDF] - On the bias of K-fold cross validation with stable learners [AISTATS 2023]
Anass Aghbalou, François Portier, Anne Sabourin.
[PDF] - Hypothesis Transfer Learning with Surrogate Classification Losses [ICML 2023]
Anass Aghbalou, Guillaume Staerman
[PDF]