Benjamin Guedj - Google Scholar Citations

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	All	Since 2015
Citations	221	177
h-index	8	8
i10-index	7	7

20112012201320142015201620172018201920202 6 18 15 14 29 23 25 67 17

Co-authors

Pierre AlquierCenter for Advanced Intelligence Project (AIP), RIKEN, TokyoVerified email at postman.riken.jp
Gérard BiauProfessor, Sorbonne University, ParisVerified email at upmc.fr
Gilles GuillotInternational Prevention Research InstituteVerified email at i-pri.org
Bhargav Srinivasa DesikanGraduate Student, University of ChicagoVerified email at uchicago.edu
Alain CelisseUMR 8524 CNRS-Université de Lille, MODAL InriaVerified email at math.univ-lille1.fr
Pierre AlliezResearch Director, Team Leader and Head of Science, Inria Sophia Antipolis - MéditerranéeVerified email at inria.fr
Alain GiraultINRIAVerified email at inria.fr
Roberto Di CosmoProfessor of Computer Science, University Paris DiderotVerified email at dicosmo.org
Arnaud LegrandResearch Director. CNRS, University of Grenoble, InriaVerified email at imag.fr
John Shawe-TaylorUCLVerified email at cs.ucl.ac.uk
Mark HarmanResearch Scientist at Facebook & Professor of Software Engineering at UCLVerified email at ucl.ac.uk
Earl T. BarrSenior Lecturer, University College LondonVerified email at ucl.ac.uk
Jie M. ZhangResearch Fellow, University College LondonVerified email at ucl.ac.uk
Stephane ChretienFull professor of Statistics and Machine Learning, University of Lyon 2, FranceVerified email at univ-lyon2.fr
Nicolas ChopinProfessor of Statistics, CREST (ENSAE)Verified email at ensae.fr
Arnaud GuyaderSorbonne UniversitéVerified email at upmc.fr
Sébastien GadatProfessor, Toulouse School of EconomicsVerified email at math.univ-toulouse.fr
Varun KanadeOxford UniversityVerified email at cs.ox.ac.uk
Vincent Cohen-AddadCNRS & Sorbonne UniversitéVerified email at lip6.fr
Colot OlivierUniversité de LilleVerified email at univ-lille.fr

Benjamin Guedj

Inria & University College London

Verified email at inria.fr - Homepage

Machine learning Deep learning Statistical learning theory Computational statistics Artificial intelligence


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PAC-Bayesian Estimation and Prediction in Sparse Additive Models B Guedj, P Alquier Electronic Journal of Statistics 7, 264-291, 2013	45	2013
COBRA: A combined regression strategy G Biau, A Fischer, B Guedj, JD Malley Journal of Multivariate Analysis 146, 18-28, 2016	38*	2016
Estimating the location and shape of hybrid zones B Guedj, G Guillot Molecular Ecology Resources 11 (6), 1119-1123, 2011	38	2011
Simpler PAC-Bayesian bounds for hostile data P Alquier, B Guedj Machine Learning 107 (5), 887-902, 2018	16	2018
An oracle inequality for quasi-Bayesian nonnegative matrix factorization P Alquier, B Guedj Mathematical Methods of Statistics 26 (1), 55-67, 2017	12	2017
A primer on PAC-Bayesian learning B Guedj arXiv preprint arXiv:1901.05353, 2019	11	2019
A quasi-Bayesian perspective to online clustering L Li, B Guedj, S Loustau Electronic journal of statistics 12 (2), 3071-3113, 2018	11*	2018
Stability revisited: new generalisation bounds for the leave-one-out A Celisse, B Guedj arXiv preprint arXiv:1608.06412, 2016	9	2016
Attributing and referencing (research) software: Best practices and outlook from Inria P Alliez, R Di Cosmo, B Guedj, A Girault, MS Hacid, A Legrand, N Rougier Computing in Science & Engineering 22 (1), 39-52, 2019	6	2019
COBRA: COmBined Regression Alternative B Guedj R package version 0.99 4, 2013	6	2013
Agrégation d'estimateurs et de classificateurs: théorie et méthodes B Guedj Paris 6, 2013	6*	2013
PAC-Bayesian high dimensional bipartite ranking B Guedj, S Robbiano Journal of Statistical Planning and Inference 196, 70-86, 2018	5	2018
Perturbed Model Validation: A New Framework to Validate Model Relevance JM Zhang, ET Barr, B Guedj, M Harman, J Shawe-Taylor arXiv preprint arXiv:1905.10201, 2019	4	2019
Pycobra: A python toolbox for ensemble learning and visualisation B Guedj, BS Desikan The Journal of Machine Learning Research 18 (1), 6988-6992, 2017	3	2017
On some recent advances on high dimensional Bayesian statistics N Chopin, S Gadat, B Guedj, A Guyader, E Vernet ESAIM: Proceedings and Surveys 51, 293-319, 2015	3	2015
Online k-means Clustering V Cohen-Addad, B Guedj, V Kanade, G Rom arXiv preprint arXiv:1909.06861, 2019	2	2019
Une approche PAC-bayésienne d’un probleme de ranking binaire en grande dimension B Guedj, S Robbiano 46èmes Journées de la Statistique (JdS) de la SFdS, 2014	2	2014
Revisiting clustering as matrix factorisation on the Stiefel manifold S Chrétien, B Guedj arXiv preprint arXiv:1903.04479, 2019	1	2019
PAC-Bayes Un-Expected Bernstein Inequality Z Mhammedi, P Grünwald, B Guedj Advances in Neural Information Processing Systems, 12180-12191, 2019	1	2019
Dichotomize and generalize: Pac-bayesian binary activated deep neural networks G Letarte, P Germain, B Guedj, F Laviolette Advances in Neural Information Processing Systems, 6869-6879, 2019	1	2019

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