Stéphane Boucheron

	2009
17		Stéphane Boucheron, Aurélien Garivier, Elisabeth Gassiat: Coding on Countably Infinite Alphabets. IEEE Transactions on Information Theory 55(1): 358-373 (2009)
	2006
16		Stéphane Boucheron, Elisabeth Gassiat: Error exponents for AR order testing. IEEE Transactions on Information Theory 52(2): 472-488 (2006)
	2003
15		Olivier Bousquet, Stéphane Boucheron, Gábor Lugosi: Introduction to Statistical Learning Theory. Advanced Lectures on Machine Learning 2003: 169-207
14		Stéphane Boucheron, Gábor Lugosi, Olivier Bousquet: Concentration Inequalities. Advanced Lectures on Machine Learning 2003: 208-240
13		Elisabeth Gassiat, Stéphane Boucheron: Optimal error exponents in hidden Markov models order estimation. IEEE Transactions on Information Theory 49(4): 964-980 (2003)
	2002
12		Stéphane Boucheron, Wenceslas Fernandez de la Vega: On A Square Packing Problem. Combinatorics, Probability & Computing 11(2): 113-127 (2002)
11		Peter L. Bartlett, Stéphane Boucheron, Gábor Lugosi: Model Selection and Error Estimation. Machine Learning 48(1-3): 85-113 (2002)
	2001
10		Stéphane Boucheron, Wenceslas Fernandez de la Vega: On The Independence Number Of Random Interval Graphs. Combinatorics, Probability & Computing 10(5): 385-396 (2001)
	2000
9		Peter L. Bartlett, Stéphane Boucheron, Gábor Lugosi: Model Selection and Error Estimation. COLT 2000: 286-297
8		Daniel Barraez, Stéphane Boucheron, Wenceslas Fernandez de la Vega: On The Fluctuations Of The Giant Component. Combinatorics, Probability & Computing 9(4): 287-304 (2000)
7		Stéphane Boucheron, Mohammad Reza Salamatian: About priority encoding transmission. IEEE Transactions on Information Theory 46(2): 699-705 (2000)
6		Stéphane Boucheron, Gábor Lugosi, Pascal Massart: A sharp concentration inequality with applications. Random Struct. Algorithms 16(3): 277-292 (2000)
	1997
5		Yves Grandvalet, Stéphane Canu, Stéphane Boucheron: Noise Injection: Theoretical Prospects. Neural Computation 9(5): 1093-1108 (1997)
4		Stéphane Boucheron, Danièle Gardy: An urn model from learning theory. Random Struct. Algorithms 10(1-2): 43-67 (1997)
	1995
3		Yves Grandvalet, Stéphane Canu, Stéphane Boucheron: Control of complexity in learning with perturbed inputs. ESANN 1995
	1988
2		Stéphane Boucheron, Jean Sallantin: Some Remarks About Space-Complexity of Learning, and Circuit Complexity of Recognizing. COLT 1988: 125-138
1		Stéphane Boucheron, Jean Sallantin: Learnability in the Presence of Noise. EWSL 1988: 25-35

Coauthor Index

1	Daniel Barraez	[8]
2	Peter L. Bartlett	[9] [11]
3	Olivier Bousquet	[14] [15]
4	Stéphane Canu	[3] [5]
5	Danièle Gardy	[4]
6	Aurélien Garivier	[17]
7	Elisabeth Gassiat	[13] [16] [17]
8	Yves Grandvalet	[3] [5]
9	Gábor Lugosi	[6] [9] [11] [14] [15]
10	Pascal Massart	[6]
11	Mohammad Reza Salamatian	[7]
12	Jean Sallantin	[1] [2]
13	Wenceslas Fernandez de la Vega	[8] [10] [12]

Colors in the list of coauthors

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