Yves Grandvalet - Google Scholar

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Co-authors

Stéphane CanuProfessor of Data Science, INSA RouenVerified email at insa-rouen.fr
Alain RakotomamonjyLITIS EA 4108, Université de Rouen - Criteo AI LabVerified email at insa-rouen.fr
Christophe AmbroiseProfessor of Statistics, Université d'Evry Val d'EssonneVerified email at genopole.cnrs.fr
Yoshua BengioProfessor, University of Montreal (Computer Sc. & Op. Res.), Mila, CIFAR, CRM, IVADO, REPARTI, GRSNCVerified email at mila.quebec
Francis BachInria - Ecole Normale SupérieureVerified email at inria.fr
Usunier NicolasFacebook AI ResearchVerified email at fb.com
Samy BengioResearch Scientist, Google BrainVerified email at google.com
Julien ChiquetUniversité Paris-Saclay, INRAE, AgroParisTechVerified email at agroparistech.fr
Emmanuel LagardeINSERMVerified email at isped.u-bordeaux2.fr
Franck DavoineCNRS, FranceVerified email at utc.fr
Antoine BordesDirector / Facebook AI ResearchVerified email at fb.com
Thierry DenoeuxProfessor, Université de technologie de Compiègne, Institut Universitaire de FranceVerified email at utc.fr
Shameem A Puthiya ParambathQCRIVerified email at hbku.edu.qa
Florence d'Alché-BucInstitut Mines-Télécom / Télécom ParisTechVerified email at telecom-paristech.fr
Jean-Michel ROGERchimiométrie itap inrae irstea cemagrefVerified email at inrae.fr
Stephane BoucheronProfessor mathematics, Université de Paris (Paris-Diderot)Verified email at u-paris.fr
Joseph (Yossi) KeshetProfessor, Dept. of Computer Science, Bar-Ilan UniversityVerified email at cs.biu.ac.il
Romain HERAULTMaître de conférences, INSA de Rouen, Normandie UniversitéVerified email at insa-rouen.fr
Douglas EckGoogle Brain TeamVerified email at google.com
Jean-Matthieu ProtPostdoctorate associate, Cornell University Verified email at cornell.edu

Yves Grandvalet

CNRS/UTC

Verified email at utc.fr - Homepage

Supervised and unsupervised learning


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SimpleMKL A Rakotomamonjy, FR Bach, S Canu, Y Grandvalet Journal of Machine Learning Research 9 (Nov), 2491-2521, 2008	1543	2008
Semi-supervised learning by entropy minimization Y Grandvalet, Y Bengio Advances in neural information processing systems, 529-536, 2005	843	2005
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	726	2004
Svm and kernel methods matlab toolbox S Canu http://asi. insa-rouen. fr/enseignants/~ arakoto/toolbox/index. html, 2005	530	2005
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	341	2007
Adaptive scaling for feature selection in SVMs Y Grandvalet, S Canu Advances in neural information processing systems, 569-576, 2003	227	2003
Composite kernel learning M Szafranski, Y Grandvalet, A Rakotomamonjy Machine learning 79 (1-2), 73-103, 2010	148	2010
Least absolute shrinkage is equivalent to quadratic penalization Y Grandvalet International Conference on Artificial Neural Networks, 201-206, 1998	132	1998
Bagging equalizes influence Y Grandvalet Machine Learning 55 (3), 251-270, 2004	127	2004
Semi-supervised marginboost F d'Alché-Buc, Y Grandvalet, C Ambroise Advances in neural information processing systems, 553-560, 2002	104	2002
Noise injection: Theoretical prospects Y Grandvalet, S Canu, S Boucheron Neural Computation 9 (5), 1093-1108, 1997	103	1997
Support vector machines with a reject option Y Grandvalet, A Rakotomamonjy, J Keshet, S Canu Advances in neural information processing systems, 537-544, 2009	90	2009
Outcomes of the equivalence of adaptive ridge with least absolute shrinkage Y Grandvalet, S Canu Advances in neural information processing systems, 445-451, 1999	89	1999
Optimizing F-measures by cost-sensitive classification SP Parambath, N Usunier, Y Grandvalet Advances in Neural Information Processing Systems, 2123-2131, 2014	87	2014
Inferring multiple graphical structures J Chiquet, Y Grandvalet, C Ambroise Statistics and Computing 21 (4), 537-553, 2011	82	2011
Combining two and three-way embedding models for link prediction in knowledge bases A García-Durán, A Bordes, N Usunier, Y Grandvalet Journal of Artificial Intelligence Research 55, 715-742, 2016	54	2016
Comments on" Noise injection into inputs in back propagation learning" Y Grandvalet, S Canu IEEE Transactions on Systems, Man, and Cybernetics 25 (4), 678-681, 1995	52	1995
A probabilistic interpretation of SVMs with an application to unbalanced classification Y Grandvalet, J Mariéthoz, S Bengio Advances in Neural Information Processing Systems, 467-474, 2006	51	2006
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	47	2016
Resample and combine: an approach to improving uncertainty representation in evidential pattern classification J François, Y Grandvalet, T Denoeux, JM Roger Information Fusion 4 (2), 75-85, 2003	47	2003

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