Yves Grandvalet

2007
23	EE	Romain Hérault, Yves Grandvalet: Sparse probabilistic classifiers. ICML 2007: 337-344
22	EE	Alain Rakotomamonjy, Francis Bach, Stéphane Canu, Yves Grandvalet: More efficiency in multiple kernel learning. ICML 2007: 775-782
21	EE	Marta Avalos, Yves Grandvalet, Christophe Ambroise: Parsimonious additive models. Computational Statistics & Data Analysis 51(6): 2851-2870 (2007)
2006
20	EE	Romain Hérault, Franck Davoine, Yves Grandvalet: Head and Facial Action Tracking: Comparison of Two Robust Approaches. FG 2006: 287-292
2005
19		Yves Grandvalet, Yoshua Bengio: Semi-supervised Learning by Entropy Minimization. CAP 2005: 281-296
18	EE	Yves Grandvalet, Johnny Mariéthoz, Samy Bengio: A Probabilistic Interpretation of SVMs with an Application to Unbalanced Classification. NIPS 2005
2004
17	EE	Yves Grandvalet, Yoshua Bengio: Semi-supervised Learning by Entropy Minimization. NIPS 2004
16	EE	Sandro Glaucio Maquiné de Souza, Thierry Denoeux, Yves Grandvalet: Recycling experiments for sludge monitoring in waste water treatment. SMC (2) 2004: 1342-1347
15	EE	Yoshua Bengio, Yves Grandvalet: No Unbiased Estimator of the Variance of K-Fold Cross-Validation. Journal of Machine Learning Research 5: 1089-1105 (2004)
14	EE	Yves Grandvalet: Bagging Equalizes Influence. Machine Learning 55(3): 251-270 (2004)
2003
13	EE	Marta Avalos, Yves Grandvalet, Christophe Ambroise: Regularization Methods for Additive Models. IDA 2003: 509-520
12	EE	Yoshua Bengio, Yves Grandvalet: No Unbiased Estimator of the Variance of K-Fold Cross-Validation. NIPS 2003
11	EE	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)
10	EE	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
9	EE	Yves Grandvalet, Stéphane Canu: Adaptive Scaling for Feature Selection in SVMs. NIPS 2002: 553-560
2001
8	EE	Yves Grandvalet, Florence d'Alché-Buc, Christophe Ambroise: Boosting Mixture Models for Semi-supervised Learning. ICANN 2001: 41-48
7	EE	Yves Grandvalet: Bagging Can Stabilize without Reducing Variance. ICANN 2001: 49-56
6	EE	Florence d'Alché-Buc, Yves Grandvalet, Christophe Ambroise: Semi-supervised MarginBoost. NIPS 2001: 553-560
2000
5	EE	Yves Grandvalet: Bagging Down-Weights Leverage Points. IJCNN (4) 2000: 505-510
1998
4	EE	Yves Grandvalet, Stéphane Canu: Outcomes of the Equivalence of Adaptive Ridge with Least Absolute Shrinkage. NIPS 1998: 445-451
1997
3		Skander Soltani, Stéphane Canu, Daniel Boichu, Yves Grandvalet: Wavelet Frames Based Estimator. ICANN 1997: 319-324
2		Yves Grandvalet, Stéphane Canu: Adaptive Noise Injection for Input Variables Relevance Determination. ICANN 1997: 463-468
1	EE	Yves Grandvalet, Stéphane Canu, Stéphane Boucheron: Noise Injection: Theoretical Prospects. Neural Computation 9(5): 1093-1108 (1997)

Coauthor Index

1	Christophe Ambroise	[6] [8] [13] [21]
2	Marta Avalos	[13] [21]
3	Francis Bach	[22]
4	Samy Bengio	[18]
5	Yoshua Bengio	[12] [15] [17] [19]
6	Daniel Boichu	[3]
7	Stéphane Boucheron	[1]
8	Stéphane Canu	[1] [2] [3] [4] [9] [22]
9	Franck Davoine	[20]
10	Thierry Denoeux	[10] [11] [16]
11	Jérémie François	[10] [11]
12	Romain Hérault	[20] [23]
13	Johnny Mariéthoz	[18]
14	Alain Rakotomamonjy	[22]
15	Jean-Michel Roger	[10] [11]
16	Skander Soltani	[3]
17	Sandro Glaucio Maquiné de Souza	[16]
18	Florence d'Alché-Buc	[6] [8]

Colors in the list of coauthors