Gérard BIAU

LPSM
...
  • Professor
  • LPSM - Laboratoire de Probabilités, Statistique et Modélisation
  • http://www.lsta.upmc.fr/biau.html
  • Communities
    Mathematics, Computer Science & Robotics
  • Expertise
    Data analysis
    Mathematical models
    Statistical learning

Responsibilities

Director of SCAI (Sorbonne Center for Artificial Intelligence)

Awards

- Prix Marie-Jeanne Laurent Duhamel de la Société Française de Statistique (2003)
- Membre de l'Institut Universitaire de France (2012-2017)

Prix Michel-Montpetit-Inria de l'Académie des Sciences (2018)

Selected publications

1) Scornet, E., Biau, G. and Vert, J.-P. (2015). Consistency of random forests, The Annals of Statistics, Vol. 43, pp. 1716-1741

2) Biau, G., Bleakley, K. and Cadre, B. (2016). The statistical performance of collaborative inference, Journal of Machine Learning Research, Vol. 17 (62), pp. 1-29

3) Biau, G., Cadre, B. and Rouvière, L. (2019). Accelerated gradient boosting, Machine Learning, Vol. 108, pp. 971-992

4) Biau, G., Scornet, E. and Welbl, J. (2019). Neural random forests, Sankhya A, à paraître

5) Biau, G., Cadre, B., Sangnier, M. and Tanielian, U. (2019). Some theoretical properties of GANs, The Annals of Statistics, à paraître

International collaborations

McGill University (Canada)

Industrial collaborations

Criteo,

Ecov,

EDF,

Safran,

Safety Line.