Stéphane Boucheron

According to our database, Stéphane Boucheron authored at least 20 papers between 1988 and 2016.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2016

Pattern Coding Meets Censoring: (almost) Adaptive Coding on Countable Alphabets.

Anna Ben-Hamou, Stéphane Boucheron, Elisabeth Gassiat

CoRR, 2016

2015

About Adaptive Coding on Countable Alphabets: Max-Stable Envelope Classes.

Stéphane Boucheron, Elisabeth Gassiat, Mesrob I. Ohannessian

IEEE Trans. Inf. Theory, 2015

2014

About Adaptive Coding on Countable Alphabets.

Dominique Bontemps, Stéphane Boucheron, Elisabeth Gassiat

IEEE Trans. Inf. Theory, 2014

2013

Concentration Inequalities - A Nonasymptotic Theory of Independence.

Stéphane Boucheron, Gábor Lugosi, Pascal Massart

Oxford University Press, ISBN: 978-0-19-953525-5, 2013

2009

Coding on Countably Infinite Alphabets.

Stéphane Boucheron, Aurélien Garivier, Elisabeth Gassiat

IEEE Trans. Inf. Theory, 2009

2006

Error exponents for AR order testing.

Stéphane Boucheron, Elisabeth Gassiat

IEEE Trans. Inf. Theory, 2006

2003

Optimal error exponents in hidden Markov models order estimation.

Elisabeth Gassiat, Stéphane Boucheron

IEEE Trans. Inf. Theory, 2003

Introduction to Statistical Learning Theory.

Olivier Bousquet, Stéphane Boucheron, Gábor Lugosi

Proceedings of the Advanced Lectures on Machine Learning, 2003

Concentration Inequalities.

Stéphane Boucheron, Gábor Lugosi, Olivier Bousquet

Proceedings of the Advanced Lectures on Machine Learning, 2003

2002

On A Square Packing Problem.

Stéphane Boucheron, Wenceslas Fernandez de la Vega

Comb. Probab. Comput., 2002

2001

On The Independence Number Of Random Interval Graphs.

Stéphane Boucheron, Wenceslas Fernandez de la Vega

Comb. Probab. Comput., 2001

2000

About priority encoding transmission.

Stéphane Boucheron, Mohammad Reza Salamatian

IEEE Trans. Inf. Theory, 2000

A sharp concentration inequality with applications.

Stéphane Boucheron, Gábor Lugosi, Pascal Massart

Random Struct. Algorithms, 2000

On The Fluctuations Of The Giant Component.

Daniel Barraez, Stéphane Boucheron, Wenceslas Fernandez de la Vega

Comb. Probab. Comput., 2000

Model Selection and Error Estimation.

Peter L. Bartlett, Stéphane Boucheron, Gábor Lugosi

Proceedings of the Thirteenth Annual Conference on Computational Learning Theory (COLT 2000), June 28, 2000

1997

An urn model from learning theory.

Stéphane Boucheron, Danièle Gardy

Random Struct. Algorithms, 1997

Noise Injection: Theoretical Prospects.

Yves Grandvalet, Stéphane Canu, Stéphane Boucheron

Neural Comput., 1997

1995

Control of complexity in learning with perturbed inputs.

Yves Grandvalet, Stéphane Canu, Stéphane Boucheron

Proceedings of the 3rd European Symposium on Artificial Neural Networks, 1995

1988

Learnability in the Presence of Noise.

Stéphane Boucheron, Jean Sallantin

Proceedings of the Third European Working Session on Learning, 1988

Some Remarks About Space-Complexity of Learning, and Circuit Complexity of Recognizing.

Stéphane Boucheron, Jean Sallantin

Proceedings of the First Annual Workshop on Computational Learning Theory, 1988