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Yves Grandvalet
Yves Grandvalet
CNRS/UTC
Verified email at utc.fr - Homepage
Title
Cited by
Cited by
Year
Semi-supervised learning by entropy minimization
Y Grandvalet, Y Bengio
Advances in neural information processing systems 17, 2004
27892004
SimpleMKL
A Rakotomamonjy, FR Bach, S Canu, Y Grandvalet
Journal of Machine Learning Research 9 (83), 2491-2521, 2008
18692008
No unbiased estimator of the variance of k-fold cross-validation
Y Bengio, Y Grandvalet
Journal of machine learning research 5 (Sep), 1089-1105, 2004
14922004
More efficiency in multiple kernel learning
A Rakotomamonjy, F Bach, S Canu, Y Grandvalet
Proceedings of the 24th international conference on Machine learning, 775-782, 2007
4072007
Explicit inductive bias for transfer learning with convolutional networks
LI Xuhong, Y Grandvalet, F Davoine
International Conference on Machine Learning, 2825-2834, 2018
3962018
Adaptive scaling for feature selection in SVMs
Y Grandvalet, S Canu
Advances in neural information processing systems 15, 2002
2552002
Support vector machines with a reject option
Y Grandvalet, A Rakotomamonjy, J Keshet, S Canu
Advances in neural information processing systems 21, 2008
2412008
Bagging equalizes influence
Y Grandvalet
Machine Learning 55, 251-270, 2004
1842004
Noise injection: Theoretical prospects
Y Grandvalet, S Canu, S Boucheron
Neural Computation 9 (5), 1093-1108, 1997
1821997
Optimizing F-measures by cost-sensitive classification
S Puthiya Parambath, N Usunier, Y Grandvalet
Advances in neural information processing systems 27, 2014
1732014
Least absolute shrinkage is equivalent to quadratic penalization
Y Grandvalet
ICANN 98: Proceedings of the 8th International Conference on Artificial …, 1998
1661998
Composite kernel learning
M Szafranski, Y Grandvalet, A Rakotomamonjy
Proceedings of the 25th international conference on Machine learning, 1040-1047, 2008
1622008
Semi-supervised marginboost
F d'Alché-Buc, Y Grandvalet, C Ambroise
Advances in neural information processing systems 14, 2001
1232001
A coverage-based approach to recommendation diversity on similarity graph
SA Puthiya Parambath, N Usunier, Y Grandvalet
Proceedings of the 10th ACM Conference on Recommender Systems, 15-22, 2016
1172016
Transfer learning in computer vision tasks: Remember where you come from
X Li, Y Grandvalet, F Davoine, J Cheng, Y Cui, H Zhang, S Belongie, ...
Image and Vision Computing 93, 103853, 2020
1132020
Inferring multiple graphical structures
J Chiquet, Y Grandvalet, C Ambroise
Statistics and Computing 21, 537-553, 2011
1082011
Outcomes of the equivalence of adaptive ridge with least absolute shrinkage
Y Grandvalet, S Canu
Advances in neural information processing systems 11, 1998
1001998
Combining two and three-way embedding models for link prediction in knowledge bases
A Garcia-Duran, A Bordes, N Usunier, Y Grandvalet
Journal of Artificial Intelligence Research 55, 715-742, 2016
792016
Bias in Estimating the Variance of K-Fold Cross-Validation
Y Bengio, Y Grandvalet
Statistical modeling and analysis for complex data problems, 75-95, 2005
702005
A baseline regularization scheme for transfer learning with convolutional neural networks
X Li, Y Grandvalet, F Davoine
Pattern Recognition 98, 107049, 2020
642020
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