Major publications by the team in recent years
  • 1J.-Y. Audibert, O. Catoni.

    Robust linear least squares regression, in: The Annals of Statistics, 2011, vol. 39, no 5, pp. 2766-2794.

  • 2K. Bertin, E. Le Pennec, V. Rivoirard.

    Adaptive Dantzig density estimation, in: Annales de l'IHP, Probabilités et Statistiques, 2011, vol. 47, no 1, pp. 43–74.

  • 3G. Biau, L. Devroye, G. Lugosi.

    Consistency of random forests and other averaging classifiers, in: Journal of Machine Learning Research, 2008, vol. 9, pp. 2015–2033.
  • 4G. Biau, L. Devroye, G. Lugosi.

    On the performance of clustering in Hilbert spaces, in: IEEE Transactions on Information Theory, 2008, vol. 54, pp. 781–790.
  • 5O. Catoni.

    Statistical Learning Theory and Stochastic Optimization — Lectures on Probability Theory and Statistics, École d'Été de Probabilités de Saint-Flour XXXI – 2001, Lecture Notes in Mathematics, Springer, 2004, vol. 1851, 269 pages.
  • 6O. Catoni.

    PAC-Bayesian Supervised Classification: The Thermodynamics of Statistical Learning, IMS Lecture Notes Monograph Series, Institute of Mathematical Statistics, 2007, vol. 56, 163 p.

  • 7O. Catoni.

    Challenging the empirical mean and empirical variance: A deviation study, in: Annales de l'Institut Henri Poincaré - Probabilités et Statistiques, 2012, vol. 48, no 4, pp. 1148-1185.
  • 8O. Catoni.

    PAC-Bayes bounds for supervised classification, in: Festschrift in Honour of A. Chervonenkis, A. Gammerman, H. Papadopoulos, V. Vovk (editors), Springer, 2014, pp. 1-15.
  • 9M. Devaine, P. Gaillard, Y. Goude, G. Stoltz.

    Forecasting electricity consumption by aggregating specialized experts; a review of the sequential aggregation of specialized experts, with an application to Slovakian and French country-wide one-day-ahead (half-)hourly predictions, in: Machine Learning, 2012.
  • 10G. Lugosi, S. Mannor, G. Stoltz.

    Strategies for prediction under imperfect monitoring, in: Mathematics of Operations Research, 2008, vol. 33, pp. 513–528.
  • 11B. Mauricette, V. Mallet, G. Stoltz.

    Ozone ensemble forecast with machine learning algorithms, in: Journal of Geophysical Research, 2009, vol. 114.

  • 12V. Rivoirard, G. Stoltz.

    Statistique mathématique en action, second edition, Vuibert, 2012.

Publications of the year

Doctoral Dissertations and Habilitation Theses

  • 13T. Mainguy.

    Markov Substitute Processes a statistical model for linguistics, PhD thesis, University Paris 6, Dec, 2014.

Other Publications