Selected Papers by Theme

Sanchez Merchante, L. F. and Grandvalet, Y. and Govaert, G. An Efficient Approach to Sparse Linear Discriminant Analysis 29th International Conference on Machine Learning (ICML 2012) pp. 1167-1174, 2012.

Szafranski, M. and Grandvalet, Y. and Rakotomamonjy, A. Composite Kernel Learning, Machine Learning, pp. 73-103, 2010.

Rakotomamonjy, A. and Bach, F. and Canu, S. and Grandvalet, Y. SimpleMKL, Journal of Machine Learning Research, 9, pp. 2491-2521, 2008.

Rakotomamonjy, A. and Bach, F.R. and Canu, S. and Grandvalet, Y.More Efficiency in Multiple Kernel Learning, 24th Annual International Conference on Machine Learning (ICML 2007), ed.: Ghahramani Z., pp. 775-782, 2007.

Szafranski, M. and Grandvalet, Y. and Rakotomamonjy, A. Composite Kernel Learning, International Conference on Machine Learning (ICML 2008), pp. 1040-1047, 2008.

Szafranski, M. and Grandvalet, Y. and Morizet-Mahoudeaux, P. Hierarchical Penalization, Advances in Neural Information Processing Systems 20 (NIPS 2007), pp. 1457-1464, 2008.

Avalos, M. and Grandvalet, Y. and Ambroise, C. Parsimonious Additive Models, Computational Statistics and Data Analysis 51(6), pp. 2851-2870, 2007

Grandvalet, Y. and Canu, S. Adaptive Scaling for Feature Selection in SVMs, Advances in Neural Information Processing Systems 15 (NIPS 2002), pp. 569-576, 2003.

Grandvalet, Y. and Canu, S. Outcomes of the equivalence of adaptive ridge with least absolute shrinkage, Advances in Neural Information Processing Systems 11 (NIPS 1998), pp. 445-451, 1999.

Grandvalet, Y. Least absolute shrinkage is equivalent to quadratic penalization,8th International Conference on Artificial Neural Networks (ICANN'98), Perspectives in Neural Computing, pp. 201-206, Springer, 1998.

Grandvalet, Y. and Rakotomamonjy, A. and Keshet, J. and Canu, S. Support Vector Machines with a Reject Option, Advances in Neural Information Processing Systems 21 (NIPS, pp. 537-544, publisher: MIT Press, 2008.

Hérault, R. and Grandvalet, Y. Classifieurs Probabilistes Parcimonieux, Traitement du Signal, 25(4), pp. 279-291, 2008.

Hérault, R. and Grandvalet, Y. Sparse Probabilistic Classifiers, 24th International Conference on Machine Learning (ICML 2007), ed.: Ghahramani Z., 2007.

Grandvalet, Y. and Mariéthoz, J. and Bengio, S. A probabilistic interpretation of SVMs with an application to unbalanced classification, Advances in Neural Information Processing Systems 18 (NIPS 2005), pp. 467-474, 2006.

Grandvalet, Y. and Bengio, Y. Entropy Regularization, 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. Semi-supervised learning by entropy minimization, Advances in Neural Information Processing Systems 17 (NIPS 2004), pp. 529-536, 2005.

d'Alché Buc F., Grandvalet Y. and Ambroise, C.n Semi-supervised marginboost, Advances in Neural Information Processing Systems 14 (NIPS 2001), pp. 553-560, 2002.

Bengio, Y. and Grandvalet, Y. No unbiased estimator of the variance of K-fold cross-validation, Journal of Machine Learning Research, 5, pp. 1089-1105, 2004.

Bengio, Y. and Grandvalet, Y. No unbiased estimator of the variance of K-fold cross-validation, Advances in Neural Information Processing Systems 16 (NIPS 2003), pp. 513-520, 2004.

Grandvalet, Y. Bagging equalizes influenceMachine Learning, 55(3), pp. 251-270, 2004.

François, J. and Grandvalet, Y. and Denoeux, T. and Roger, J.M. Resample and combine : an approach to improving uncertainty representation in evidential pattern classification, Information Fusion 4(2), pp. 75-85, 2003.

Paiement, J.-F. and Grandvalet, Y. and Bengio, S. Predictive models for music, Connection Science, vol. 21, num. 2-3, pp. 253-272, 2009.

Paiement, J.-F. and Grandvalet, Y. and Bengio, S. and Eck, D. 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., 2008.

Mariéthoz, J. and Bengio, S. and Grandvalet, Y. 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. Head and Facial Action Tracking: Comparison of two Robust Approaches, 7th IEEE International Conference on Automatic Face and Gesture Recognition, pp. 287-292, 2006.

Grandvalet, Y. and Masson, M.-H.</span></div></td>, Réseaux de neurones pour le diagnostic, Trait&eacute; IC2, Diagnostic : Intelligence Artificielle et Reconnaissance des Formes, ed.: B. Dubuisson, pp. 179-218, Hermès, 2001