Nicolas BOUSQUET

LPSM
...
  • Professor
  • LPSM - Laboratoire de Probabilités, Statistique et Modélisation
  • nicolas.bousquet@sorbonne-universite.fr
  • Open link
    https://perso.lpsm.paris/~bousquet/
  • Communities
    Mathematics, Computer Science & Robotics
  • Expertise
    Algorithms
    Data analysis
    Statistical learning

Responsibilities

Senior Expert, EDF & Associate Professor Sorbonne Université, Director of the SINCLAIR Industrial AI Laboratory (EDF-Thales-TotalEnergies)

Awards

Young Statistician Award, ENBIS, 2016

Selected publications

M. Il Idrissi, N. Bousquet, F. Gamboa, B. Iooss, J.-M. Loubes (2024). Hoeffding decomposition of black-box models with dependent inputs arXiv:2310.06567 .

Quantile-constrained Wasserstein projections for robust interpretability of numerical and machine learning models 
M. Il Idrissi, N. Bousquet, F. Gamboa, B. Iooss, J.-M. Loubes
Electronic Journal of Statistics , 18:2721�2770 (2024)

Towards new formal rules for informative prior elicitation?
N. Bousquet
Applied Stochastic Models in Business and Industry : 1-11 (2023)

On the coalitional decomposition of parameters of interest
M. Il Idrissi, N. Bousquet, F. Gamboa, B. Iooss, J.-M. Loubes
Comptes-Rendus de l'Academie des Sciences  , 361: 1653-1662 (2023)

Deep Learning : des usages contrastés dans le monde socio-économique. Une contextualisation de l’ouvrage de Goodfellow, Bengio et Courville 
R. Adon, F. Arthur, G. Baquiast, G. Hochard, A. Kaid Gherbi, A. Nègre, A. Simoulin, F. Talaouit- Mockli, N. Bousquet
Statistique & Société, 8: 55-108 (2021)

Industrial collaborations

SINCLAIR laboratory
https://sinclair-lab.com

GIS LARTISSTE 
https://uq-at-paris-saclay.github.io