Benjamin Guedj

Cited by

	All	Since 2015
Citations	277	234
h-index	9	9
i10-index	9	9

20112012201320142015201620172018201920202 5 18 14 15 29 20 27 68 72

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 GuillotIPRIVerified email at i-pri.org
Bhargav Srinivasa DesikanResearch Fellow, University of ChicagoVerified email at uchicago.edu
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. BarrProfessor, University College LondonVerified email at ucl.ac.uk
Jie M. ZhangResearch Fellow, University College LondonVerified email at ucl.ac.uk
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
Alain CelisseUMR 8524 CNRS-Université de Lille, MODAL InriaVerified email at math.univ-lille1.fr
Zakaria MhammediAustralian National UniversityVerified email at anu.edu.au
Stéphane ChrétienFull professor of Statistics and Machine Learning, University of Lyon 2, FranceVerified email at univ-lyon2.fr
François LavioletteUniversité Laval, Associate member at MILAVerified email at ift.ulaval.ca
Gaël LetartePhD Student, Laval UniversityVerified email at ulaval.ca
Pascal GermainAssistant Professor, Université LavalVerified email at inria.fr
Colot OlivierUniversité de LilleVerified email at univ-lille.fr
Nicolas ChopinProfessor of Statistics, ENSAE (Institut Polytechnique de Paris)Verified email at ensae.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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COBRA: A combined regression strategy G Biau, A Fischer, B Guedj, JD Malley Journal of Multivariate Analysis 146, 18-28, 2016	46*	2016
PAC-Bayesian Estimation and Prediction in Sparse Additive Models B Guedj, P Alquier Electronic Journal of Statistics 7, 264-291, 2013	46	2013
Estimating the location and shape of hybrid zones B Guedj, G Guillot Molecular Ecology Resources 11 (6), 1119-1123, 2011	36	2011
A primer on PAC-Bayesian learning B Guedj arXiv preprint arXiv:1901.05353, 2019	28	2019
Simpler PAC-Bayesian bounds for hostile data P Alquier, B Guedj Machine Learning 107 (5), 887-902, 2018	21	2018
An oracle inequality for quasi-Bayesian nonnegative matrix factorization P Alquier, B Guedj Mathematical Methods of Statistics 26 (1), 55-67, 2017	14	2017
A quasi-Bayesian perspective to online clustering L Li, B Guedj, S Loustau Electronic journal of statistics 12 (2), 3071-3113, 2018	12*	2018
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	11	2019
Stability revisited: new generalisation bounds for the leave-one-out A Celisse, B Guedj arXiv preprint arXiv:1608.06412, 2016	11	2016
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
Perturbed model validation: A new framework to validate model relevance J Zhang, E Barr, B Guedj, M Harman, J Shawe-Taylor	5	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, 6872-6882, 2019	5	2019
PAC-Bayesian high dimensional bipartite ranking B Guedj, S Robbiano Journal of Statistical Planning and Inference 196, 70-86, 2018	5	2018
Pycobra: A python toolbox for ensemble learning and visualisation B Guedj, BS Desikan The Journal of Machine Learning Research 18 (1), 6988-6992, 2017	5	2017
Still no free lunches: the price to pay for tighter PAC-Bayes bounds B Guedj, L Pujol arXiv preprint arXiv:1910.04460, 2019	3	2019
Online k-means Clustering V Cohen-Addad, B Guedj, V Kanade, G Rom arXiv preprint arXiv:1909.06861, 2019	3	2019
PAC-Bayes Un-Expected Bernstein Inequality Z Mhammedi, P Grünwald, B Guedj Advances in Neural Information Processing Systems, 12202-12213, 2019	3	2019
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
Revisiting clustering as matrix factorisation on the Stiefel manifold S Chrétien, B Guedj arXiv preprint arXiv:1903.04479, 2019	2	2019

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