Grandvalet, Yves

23 publications

ECML-PKDD 2024 Harnessing Superclasses for Learning from Hierarchical Databases Nicolas Urbani, Sylvain Rousseau, Yves Grandvalet, Leonardo Tanzi

WACV 2021 Driving Among Flatmobiles: Bird-Eye-View Occupancy Grids from a Monocular Camera for Holistic Trajectory Planning Abdelhak Loukkal, Yves Grandvalet, Tom Drummond, You Li

ICML 2018 Explicit Inductive Bias for Transfer Learning with Convolutional Networks Xuhong Li, Yves Grandvalet, Franck Davoine

JAIR 2016 Combining Two and Three-Way Embedding Models for Link Prediction in Knowledge Bases Alberto García-Durán, Antoine Bordes, Nicolas Usunier, Yves Grandvalet

NeurIPS 2014 Optimizing F-Measures by Cost-Sensitive Classification Shameem Puthiya Parambath, Nicolas Usunier, Yves Grandvalet

ICML 2012 An Efficient Approach to Sparse Linear Discriminant Analysis Luis Francisco Sánchez Merchante, Yves Grandvalet, Gérard Govaert

MLJ 2010 Composite Kernel Learning Marie Szafranski, Yves Grandvalet, Alain Rakotomamonjy

ICML 2008 A Distance Model for Rhythms Jean-François Paiement, Yves Grandvalet, Samy Bengio, Douglas Eck

ICML 2008 Composite Kernel Learning Marie Szafranski, Yves Grandvalet, Alain Rakotomamonjy

JMLR 2008 SimpleMKL Alain Rakotomamonjy, Francis R. Bach, Stéphane Canu, Yves Grandvalet

NeurIPS 2008 Support Vector Machines with a Reject Option Yves Grandvalet, Alain Rakotomamonjy, Joseph Keshet, Stéphane Canu

NeurIPS 2007 Hierarchical Penalization Marie Szafranski, Yves Grandvalet, Pierre Morizet-mahoudeaux

ICML 2007 More Efficiency in Multiple Kernel Learning Alain Rakotomamonjy, Francis R. Bach, Stéphane Canu, Yves Grandvalet

ICML 2007 Sparse Probabilistic Classifiers Romain Hérault, Yves Grandvalet

NeurIPS 2005 A Probabilistic Interpretation of SVMs with an Application to Unbalanced Classification Yves Grandvalet, Johnny Mariethoz, Samy Bengio

MLJ 2004 Bagging Equalizes Influence Yves Grandvalet

JMLR 2004 No Unbiased Estimator of the Variance of K-Fold Cross-Validation Yoshua Bengio, Yves Grandvalet

NeurIPS 2004 Semi-Supervised Learning by Entropy Minimization Yves Grandvalet, Yoshua Bengio

NeurIPS 2003 No Unbiased Estimator of the Variance of K-Fold Cross-Validation Yoshua Bengio, Yves Grandvalet

NeurIPS 2002 Adaptive Scaling for Feature Selection in SVMs Yves Grandvalet, Stéphane Canu

NeurIPS 2001 Semi-Supervised MarginBoost Florence d'Alché-Buc, Yves Grandvalet, Christophe Ambroise

NeurIPS 1998 Outcomes of the Equivalence of Adaptive Ridge with Least Absolute Shrinkage Yves Grandvalet, Stéphane Canu

NeCo 1997 Noise Injection: Theoretical Prospects Yves Grandvalet, Stéphane Canu, Stéphane Boucheron