Publications

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(2015). An example journal article. Journal of Source Themes, 1(1).

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(2012). Adaptive compression against a countable alphabet. 23rd Intern. Meeting on Probabilistic, Combinatorial,and Asymptotic Methods for the Analysis of Algorithms(AofA’12).

(2003). Concentration Inequalities. Advanced Lectures on Machine Learning, ML Summer Schools 2003, Canberra,Australia, February 2-14, 2003, Tübingen, Germany, August4-16, 2003, Revised Lectures.

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(2003). Introduction to Statistical Learning Theory. Advanced Lectures on Machine Learning, ML Summer Schools 2003, Canberra,Australia, February 2-14, 2003, Tübingen, Germany, August4-16, 2003, Revised Lectures.

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(2000). Model Selection and Error Estimation. Proceedings of the Thirteenth Annual Conference on Computational LearningTheory (COLT 2000), June 28 - July 1, 2000, Palo Alto, California,USA.

(1999). Coding exponents for some Markov channels. Actes du $17^texteme$ textscgretsi.

(1997). Codage à Protections Inégales et Diffusion. Actes du $16^texteme$ textscgretsi.

(1995). De la représentation à la validation~: lagénéralisation dans les réseaux de neurones. Actes des $5^mboxscriptsize ième$ journées nationales du PRC Intelligence Artificielle.

(1995). Control of complexity in learning with perturbed inputs. ESANN 1995, 3rd European Symposium on Artificial Neural Networks,Brussels, Belgium, April 19-21, 1995, Proceedings.

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(1994). Sur les traces de l'apprentissage. $9^m̊ ème$ Congrès RFIA.

(1989). Some remarks about space-complexity of learning, & circuitcomplexity of recognizing. Proceedings of the 1988 Workshop on ComputationalLearning Theory (Cambridge, MA, 1988).

(1988). Bruit et apprentissage. Actes des troisièmes Journées françaises de l’apprentissage.

(1988). Learnability in the Presence of Noise. Proceedings of the Third European Working Session on Learning, EWSL1988, Turing Institute, Glasgow, UK, October 3-5, 1988.

Skills

R

90%

Statistics

100%

Python

90%

Concentration theory

100%

Databases

100%

Extreme values

100%

Duties

Asociate editor

Membre du Conseil Scientifique

Experience

 
 
 
 
 

Professor

Université de Paris (ex-Paris-Diderot)

Sep 2004 – Present Paris
Taught statistics, probability, numerical analysis, algorithms and databases.
 
 
 
 
 

Researcher

CNRS/Université Paris-Sud

Nov 1990 – Aug 2004 Orsay, Paris Area
Themes include:

  • Statistical Learning
  • Telecommunications
  • Random graphs
  • Information theory
 
 
 
 
 

Engineer

Alcatel-Alsthom

Jan 1989 – Oct 1990 Marcoussis, Paris Area
R and D, on OOL, Telecommunications, Multi-Agents systems Responsibilities include:

  • Analysing
  • Modelling
  • Coding

Contact

  • Room 5017A Sophie Germain Building
    Université de Paris
    Place Aurélie Nemours
    75013 Paris France
  • Friday 12:15 to 13:45
  • Book an appointment