UMR CNRS 7253

Yves Grandvalet
Yves Grandvalet
Yves Grandvalet
Yves Grandvalet
Yves Grandvalet

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Selected Papers by Theme

Penalization & Sparsity

Rakotomamonjy, A. and Bach, F. and Canu, S. and Grandvalet, Y.
Bibtex
SimpleMKL
[pdf]
Journal of Machine Learning Research, vol. 9, pp. 2491-2521, 2008
Rakotomamonjy, A. and Bach, F.R. and Canu, S. and Grandvalet, Y.
Bibtex
More Efficiency in Multiple Kernel Learning
[pdf]
Proceedings of the 24th Annual International Conference on Machine Learning (ICML 2007), ed.: Ghahramani Z., pp. 775-782, 2007
Szafranski, M. and Grandvalet, Y. and Rakotomamonjy, A.
Bibtex
Composite Kernel Learning
[pdf]
International Conference on Machine Learning (ICML 2008), pp. 1040-1047, july, 2008
Szafranski, M. and Grandvalet, Y. and Morizet-Mahoudeaux, P.
Bibtex
Hierarchical Penalization
[pdf]
Advances in Neural Information Processing Systems 20 (NIPS 2007), pp. 1457-1464, MIT press, 2008
Avalos, M. and Grandvalet, Y. and Ambroise, C.
Bibtex
Parsimonious Additive Models
[pdf]
Computational Statistics and Data Analysis, vol. 51, num. 6, pp. 2851-2870, 2007
Grandvalet, Y. and Canu, S.
Bibtex
Adaptive Scaling for Feature Selection in SVMs
[pdf]
Advances in Neural Information Processing Systems 15 (NIPS 2002), pp. 569-576, MIT press, 2003 [ps.gz]
Grandvalet, Y. and Canu, S.
Bibtex
Outcomes of the equivalence of adaptive ridge with least absolute shrinkage
[pdf]
Advances in Neural Information Processing Systems 11 (NIPS 1998), pp. 445-451, MIT press, 1999 [ps.gz]
Grandvalet, Y.
Bibtex
Least absolute shrinkage is equivalent to quadratic penalization
[pdf]
ICANN'98, Perspectives in Neural Computing, pp. 201-206, Springer, 1998 [ps.gz]
Matlab function for doing adaptive ridge regression or lasso
Matlab code

Sparse Criteria & Reject Option

Grandvalet, Y. and Rakotomamonjy, A. and Keshet, J. and Canu, S.
Bibtex
Support Vector Machines with a Reject Option
Advances in Neural Information Processing Systems 21, pp. 537-544, publisher: MIT Press, 2008
Hérault, R. and Grandvalet, Y.
Bibtex
Classifieurs Probabilistes Parcimonieux
Traitement du Signal, vol. 25, num. 4, pp. 279-291, 2008
Hérault, R. and Grandvalet, Y.
Bibtex
Sparse Probabilistic Classifiers
Proceedings of 24th International Conference on Machine Learning, Oregon State University, Corvallis, Oregon, USA, pp. 337-344, ed.: Ghahramani Z., June, 2007
document
Grandvalet, Y. and Mariéthoz, J. and Bengio, S.
Bibtex
A probabilistic interpretation of SVMs with an application to unbalanced classification
Advances in Neural Information Processing Systems 18, pp. 467-474, publisher: MIT Press, 2006

Semi-Supervised Learning

Grandvalet, Y. and Bengio, Y.
Bibtex
chapter:"Entropy Methods"
Semi-Supervised Learning , ed.: Chapelle, O. and Schoelkopf, B. and Zien, A., pp. 151-168, series: Adaptive Computation and Machine Learning, MIT Press, 2006
Grandvalet, Y. and Bengio, Y.
Bibtex
Semi-supervised learning by entropy minimization
Neural Information Processing Systems 17, Vancouver, Canada, pp. 529-536, MIT Press, 2005
d'Alché Buc F., Grandvalet Y. and Ambroise, C.
Bibtex
Semi-supervised learning by entropy minimization
Neural Information Processing Systems 14, Vancouver, Canada, pp. 553-560, MIT Press, 2002

Cross-Validation

Bengio, Y. and Grandvalet, Y.
Bibtex
No unbiased estimator of the variance of K-fold cross-validation
[pdf]
Journal of Machine Learning Research, vol. 5, pp. 1089-1105, 2004
Bengio, Y. and Grandvalet, Y.
Bibtex
No unbiased estimator of the variance of K-fold cross-validation
[pdf]
Advances in Neural Information Processing Systems 16 (NIPS 2003), pp. 513-520, 2004

Bagging

Grandvalet, Y.
Bibtex
Bagging equalizes influence
Machine Learning, vol. 55, num. 3, pp. 251-270, 2004

Dempster-Shafer Combination

François, J. and Grandvalet, Y. and Denoeux, T. and Roger, J.M.
Bibtex
Resample and combine : an approach to improving uncertainty representation in evidential pattern classification
Information Fusion, vol. 4, num. 2, pp. 75-85, 2003
François, J. and Grandvalet, Y. and Denoeux, T. and Roger, J.M.
Bibtex
Addenda to resample and combine : an approach to improving uncertainty representation in evidential pattern classification
Information Fusion, vol. 4, num. 3, pp. 235-236, 2003

Applications

Paiement, J.-F. and Grandvalet, Y. and Bengio, S.
Bibtex
Predictive models for music
Connection Science, vol. 21, num. 2-3, pp. 253-272, 2009
document
Paiement, J.-F. and Grandvalet, Y. and Bengio, S. and Eck, D.
Bibtex
A Distance Model for Rhythms
Proceedings of the 25th Annual International Conference on Machine Learning (ICML 2008), pp. 736-743, ed.: McCallum, A. and Roweis, S., publisher: Omnipress, 2008
Mariéthoz, J. and Bengio, S. and Grandvalet, Y.
Bibtex
chapter:"Kernel Based Text-Independent Speaker Verification"
Automatic Speech and Speaker Recognition: Large Margin and Kernel Methods , ed.: Keshet, J. and Bengio, S., pp. 197-224, John Wiley & Sons, 2008
Hérault, R. and Davoine, F. and Grandvalet, Y.
Bibtex
Head and Facial Action Tracking: Comparison of two Robust Approaches
7th IEEE International Conference on Automatic Face and Gesture Recognition, Southampton, UK, pp. 287-292, publisher: IEEE Computer Society, April, 2006
document
Grandvalet, Y. and Masson, M.-H.
Bibtex
chapter:"Réseaux de neurones pour le diagnostic"
Traité IC2, Diagnostic : Intelligence Artificielle et Reconnaissance des Formes , ed.: B. Dubuisson, pp. 179-218, Hermès, 2001


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