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2010 – 2019
- 2016
[i2]Anna Ben-Hamou
, Stéphane Boucheron, Elisabeth Gassiat:
Pattern Coding Meets Censoring: (almost) Adaptive Coding on Countable Alphabets. CoRR abs/1608.08367 (2016)- 2015
- [j13]Stéphane Boucheron, Elisabeth Gassiat, Mesrob I. Ohannessian:
About Adaptive Coding on Countable Alphabets: Max-Stable Envelope Classes. IEEE Trans. Inf. Theory 61(9): 4948-4967 (2015) - 2014
- [j12]Dominique Bontemps, Stéphane Boucheron, Elisabeth Gassiat:
About Adaptive Coding on Countable Alphabets. IEEE Trans. Inf. Theory 60(2): 808-821 (2014) - [i1]Stéphane Boucheron, Elisabeth Gassiat, Mesrob I. Ohannessian:
About Adaptive Coding on Countable Alphabets: Max-Stable Envelope Classes. CoRR abs/1402.6305 (2014) - 2013
- [b1]Stéphane Boucheron, Gábor Lugosi, Pascal Massart:
Concentration Inequalities - A Nonasymptotic Theory of Independence. Oxford University Press 2013, ISBN 978-0-19-953525-5, pp. 1-449
2000 – 2009
- 2009
- [j11]Stéphane Boucheron, Aurélien Garivier, Elisabeth Gassiat:
Coding on Countably Infinite Alphabets. IEEE Trans. Inf. Theory 55(1): 358-373 (2009) - 2006
- [j10]Stéphane Boucheron, Elisabeth Gassiat:
Error exponents for AR order testing. IEEE Trans. Inf. Theory 52(2): 472-488 (2006) - 2003
- [j9]Elisabeth Gassiat, Stéphane Boucheron:
Optimal error exponents in hidden Markov models order estimation. IEEE Trans. Inf. Theory 49(4): 964-980 (2003) - [c6]Olivier Bousquet, Stéphane Boucheron, Gábor Lugosi:
Introduction to Statistical Learning Theory. Advanced Lectures on Machine Learning 2003: 169-207 - [c5]Stéphane Boucheron, Gábor Lugosi, Olivier Bousquet:
Concentration Inequalities. Advanced Lectures on Machine Learning 2003: 208-240 - 2002
- [j8]Stéphane Boucheron, Wenceslas Fernandez de la Vega:
On A Square Packing Problem. Comb. Probab. Comput. 11(2): 113-127 (2002) - [j7]Peter L. Bartlett, Stéphane Boucheron, Gábor Lugosi:
Model Selection and Error Estimation. Mach. Learn. 48(1-3): 85-113 (2002) - 2001
- [j6]Stéphane Boucheron, Wenceslas Fernandez de la Vega:
On The Independence Number Of Random Interval Graphs. Comb. Probab. Comput. 10(5): 385-396 (2001) - 2000
- [j5]Daniel Barraez, Stéphane Boucheron, Wenceslas Fernandez de la Vega:
On The Fluctuations Of The Giant Component. Comb. Probab. Comput. 9(4): 287-304 (2000) - [j4]Stéphane Boucheron, Gábor Lugosi, Pascal Massart:
A sharp concentration inequality with applications. Random Struct. Algorithms 16(3): 277-292 (2000) - [j3]Stéphane Boucheron, Mohammad Reza Salamatian:
About priority encoding transmission. IEEE Trans. Inf. Theory 46(2): 699-705 (2000) - [c4]Peter L. Bartlett, Stéphane Boucheron, Gábor Lugosi:
Model Selection and Error Estimation. COLT 2000: 286-297
1990 – 1999
- 1997
- [j2]Yves Grandvalet, Stéphane Canu, Stéphane Boucheron:
Noise Injection: Theoretical Prospects. Neural Comput. 9(5): 1093-1108 (1997) - [j1]Stéphane Boucheron, Danièle Gardy:
An urn model from learning theory. Random Struct. Algorithms 10(1-2): 43-67 (1997) - 1995
- [c3]Yves Grandvalet, Stéphane Canu, Stéphane Boucheron:
Control of complexity in learning with perturbed inputs. ESANN 1995
1980 – 1989
- 1988
- [c2]Stéphane Boucheron, Jean Sallantin:
Some Remarks About Space-Complexity of Learning, and Circuit Complexity of Recognizing. COLT 1988: 125-138 - [c1]Stéphane Boucheron, Jean Sallantin:
Learnability in the Presence of Noise. EWSL 1988: 25-35
Coauthor Index
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