Yves Grandvalet

	2011
34		Julien Chiquet, Yves Grandvalet, Christophe Ambroise: Inferring multiple graphical structures. Statistics and Computing 21(4): 537-553 (2011)
	2010
33		Marie Szafranski, Yves Grandvalet, Alain Rakotomamonjy: Composite kernel learning. Machine Learning 79(1-2): 73-103 (2010)
	2009
32		Jean-François Paiement, Yves Grandvalet, Samy Bengio: Predictive models for music. Connect. Sci. 21(2&3): 253-272 (2009)
	2008
31		Marie Szafranski, Yves Grandvalet, Alain Rakotomamonjy: Composite kernel learning. ICML 2008: 1040-1047
30		Jean-François Paiement, Yves Grandvalet, Samy Bengio, Douglas Eck: A distance model for rhythms. ICML 2008: 736-743
29		Yves Grandvalet, Alain Rakotomamonjy, Joseph Keshet, Stéphane Canu: Support Vector Machines with a Reject Option. NIPS 2008: 537-544
	2007
28		Romain Hérault, Yves Grandvalet: Sparse probabilistic classifiers. ICML 2007: 337-344
27		Alain Rakotomamonjy, Francis Bach, Stéphane Canu, Yves Grandvalet: More efficiency in multiple kernel learning. ICML 2007: 775-782
26		Marie Szafranski, Yves Grandvalet, Pierre Morizet-Mahoudeaux: Hierarchical Penalization. NIPS 2007
25		Marta Avalos, Yves Grandvalet, Christophe Ambroise: Parsimonious additive models. Computational Statistics & Data Analysis 51(6): 2851-2870 (2007)
	2006
24		Romain Hérault, Franck Davoine, Yves Grandvalet: Head and Facial Action Tracking: Comparison of Two Robust Approaches. FG 2006: 287-292
	2005
23		Yves Grandvalet, Yoshua Bengio: Semi-supervised Learning by Entropy Minimization. CAP 2005: 281-296
22		Yves Grandvalet, Johnny Mariéthoz, Samy Bengio: A Probabilistic Interpretation of SVMs with an Application to Unbalanced Classification. NIPS 2005
21		Marta Avalos, Yves Grandvalet, Christophe Ambroise: Discrimination par modèles additifs parcimonieux. Revue d'Intelligence Artificielle 19(4-5): 661-682 (2005)
	2004
20		Yves Grandvalet, Yoshua Bengio: Semi-supervised Learning by Entropy Minimization. NIPS 2004
19		Sandro Glaucio Maquiné de Souza, Thierry Denoeux, Yves Grandvalet: Recycling experiments for sludge monitoring in waste water treatment. SMC (2) 2004: 1342-1347
18		Yoshua Bengio, Yves Grandvalet: No Unbiased Estimator of the Variance of K-Fold Cross-Validation. Journal of Machine Learning Research 5: 1089-1105 (2004)
17		Yves Grandvalet: Bagging Equalizes Influence. Machine Learning 55(3): 251-270 (2004)
	2003
16		Marta Avalos, Yves Grandvalet, Christophe Ambroise: Regularization Methods for Additive Models. IDA 2003: 509-520
15		Yoshua Bengio, Yves Grandvalet: No Unbiased Estimator of the Variance of K-Fold Cross-Validation. NIPS 2003
14		Jérémie François, Yves Grandvalet, Thierry Denoeux, Jean-Michel Roger: Resample and combine: an approach to improving uncertainty representation in evidential pattern classification. Information Fusion 4(2): 75-85 (2003)
13		Jérémie François, Yves Grandvalet, Thierry Denoeux, Jean-Michel Roger: Addendum to resample and combine: an approach to improving uncertainty representation in evidential pattern classification. Information Fusion 4(3): 235-236 (2003)
	2002
12		Yves Grandvalet, Stéphane Canu: Adaptive Scaling for Feature Selection in SVMs. NIPS 2002: 553-560
	2001
11		Yves Grandvalet, Florence d'Alché-Buc, Christophe Ambroise: Boosting Mixture Models for Semi-supervised Learning. ICANN 2001: 41-48
10		Yves Grandvalet: Bagging Can Stabilize without Reducing Variance. ICANN 2001: 49-56
9		Florence d'Alché-Buc, Yves Grandvalet, Christophe Ambroise: Semi-supervised MarginBoost. NIPS 2001: 553-560
	2000
8		Yves Grandvalet: Bagging Down-Weights Leverage Points. IJCNN (4) 2000: 505-510
7		Yves Grandvalet: Anisotropic noise injection for input variables relevance determination. IEEE Trans. Neural Netw. Learning Syst. 11(6): 1201-1212 (2000)
	1998
6		Yves Grandvalet, Stéphane Canu: Outcomes of the Equivalence of Adaptive Ridge with Least Absolute Shrinkage. NIPS 1998: 445-451
	1997
5		Skander Soltani, Stéphane Canu, Daniel Boichu, Yves Grandvalet: Wavelet Frames Based Estimator. ICANN 1997: 319-324
4		Yves Grandvalet, Stéphane Canu: Adaptive Noise Injection for Input Variables Relevance Determination. ICANN 1997: 463-468
3		Yves Grandvalet, Stéphane Canu, Stéphane Boucheron: Noise Injection: Theoretical Prospects. Neural Computation 9(5): 1093-1108 (1997)
	1995
2		Yves Grandvalet, Stéphane Canu, Stéphane Boucheron: Control of complexity in learning with perturbed inputs. ESANN 1995
1		Yves Grandvalet, Stéphane Canu: Comments on "Noise injection into inputs in back propagation learning". IEEE Transactions on Systems, Man, and Cybernetics 25(4): 678-681 (1995)

Coauthor Index

1	Christophe Ambroise	[9] [11] [16] [21] [25] [34]
2	Marta Avalos	[16] [21] [25]
3	Francis R. Bach (Francis Bach)	[27]
4	Samy Bengio	[22] [30] [32]
5	Yoshua Bengio	[15] [18] [20] [23]
6	Daniel Boichu	[5]
7	Stéphane Boucheron	[2] [3]
8	Stéphane Canu	[1] [2] [3] [4] [5] [6] [12] [27] [29]
9	Julien Chiquet	[34]
10	Franck Davoine	[24]
11	Thierry Denoeux	[13] [14] [19]
12	Douglas Eck	[30]
13	Jérémie François	[13] [14]
14	Romain Hérault	[24] [28]
15	Joseph Keshet	[29]
16	Johnny Mariéthoz	[22]
17	Pierre Morizet-Mahoudeaux	[26]
18	Jean-François Paiement	[30] [32]
19	Alain Rakotomamonjy	[27] [29] [31] [33]
20	Jean-Michel Roger	[13] [14]
21	Skander Soltani	[5]
22	Sandro Glaucio Maquiné de Souza	[19]
23	Marie Szafranski	[26] [31] [33]
24	Florence d'Alché-Buc	[9] [11]

Colors in the list of coauthors

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