Bibliography

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, n^o 5, pp. 2766-2794.
  
  http://hal.inria.fr/hal-00522534
• 2K. Bertin, E. Le Pennec, V. Rivoirard.
  
  Adaptive Dantzig density estimation, in: Annales de l'IHP, Probabilités et Statistiques, 2011, vol. 47, n^o 1, pp. 43–74.
  
  http://hal.inria.fr/hal-00381984/en
• 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.
  
  http://dx.doi.org/10.1214/074921707000000391
• 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, n^o 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.
  
  http://dx.doi.org/10.1029/2008JD009978
• 12V. Rivoirard, G. Stoltz.
  
  Statistique mathématique en action, second edition, Vuibert, 2012.
  
  http://www.dma.ens.fr/statenaction/

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

• 14G. Biau, R. Zenine.
  
  Online Asynchronous Distributed Regression, July 2014.
  
  https://hal.archives-ouvertes.fr/hal-01024673