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Selected Papers by Theme
Penalization & Sparsity
- 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.
Sparse Criteria & Reject Option
- 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.
Semi-Supervised Learning
- 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.
Cross-Validation
- 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.
Bagging
- Grandvalet, Y. Bagging equalizes influenceMachine Learning, 55(3), pp. 251-270, 2004.
Dempster-Shafer Combination
- 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.
Applications
- 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, Traité IC2, Diagnostic : Intelligence Artificielle et Reconnaissance des Formes, ed.: B. Dubuisson, pp. 179-218, Hermès, 2001
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