Benjamin Guedj

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	All	Since 2016
Citations	323	263
h-index	9	9
i10-index	9	9

120

201120122013201420152016201720182019202020212 5 19 16 14 29 16 29 69 115 2

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
John Shawe-TaylorUCLVerified email at cs.ucl.ac.uk
Bhargav Srinivasa DesikanResearch Fellow, University of ChicagoVerified email at uchicago.edu
François LavioletteUniversité Laval, Associate member at MILAVerified email at ift.ulaval.ca
Pascal GermainAssistant Professor, Université LavalVerified email at inria.fr
Zakaria MhammediAustralian National UniversityVerified email at anu.edu.au
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
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
Alain CelisseSAMM Laboratory - Paris 1 Panthéon-Sorbonne UniversityVerified email at univ-paris1.fr
Gaël LetartePhD Student, Laval UniversityVerified email at ulaval.ca
Stéphane ChrétienFull professor of Statistics and Machine Learning, University of Lyon 2, FranceVerified email at univ-lyon2.fr
Omar RivasplataDeepMind / UCLVerified email at cs.ucl.ac.uk
Peter GrünwaldGroup Leader Machine Learning, CWI; Professor of Statistics, Leiden UniversityVerified email at cwi.nl

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	48	2013
COBRA: A combined regression strategy G Biau, A Fischer, B Guedj, JD Malley Journal of Multivariate Analysis 146, 18-28, 2016	46*	2016
A Primer on PAC-Bayesian Learning B Guedj, J Shawe-Taylor ICML 2019, 2019	42	2019
Estimating the location and shape of hybrid zones B Guedj, G Guillot Molecular Ecology Resources 11 (6), 1119-1123, 2011	36	2011
Simpler PAC-Bayesian bounds for hostile data P Alquier, B Guedj Machine Learning 107 (5), 887-902, 2018	24	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	13	2019
A quasi-Bayesian perspective to online clustering L Li, B Guedj, S Loustau Electronic journal of statistics 12 (2), 3071-3113, 2018	13*	2018
Stability revisited: new generalisation bounds for the leave-one-out A Celisse, B Guedj arXiv preprint arXiv:1608.06412, 2016	12	2016
An oracle inequality for quasi-Bayesian nonnegative matrix factorization P Alquier, B Guedj Mathematical Methods of Statistics 26 (1), 55-67, 2017	11	2017
Dichotomize and generalize: PAC-Bayesian binary activated deep neural networks G Letarte, P Germain, B Guedj, F Laviolette arXiv preprint arXiv:1905.10259, 2019	8	2019
Pycobra: A python toolbox for ensemble learning and visualisation B Guedj, BS Desikan Journal of Machine Learning Research 18 (190), 1-5, 2018	7	2018
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
Still no free lunches: the price to pay for tighter PAC-Bayes bounds B Guedj, L Pujol arXiv preprint arXiv:1910.04460, 2019	5	2019
PAC-Bayes Un-Expected Bernstein Inequality Z Mhammedi, PD Grunwald, B Guedj arXiv preprint arXiv:1905.13367, 2019	5	2019
Perturbed model validation: A new framework to validate model relevance J Zhang, E Barr, B Guedj, M Harman, J Shawe-Taylor	5	2019
PAC-Bayesian high dimensional bipartite ranking B Guedj, S Robbiano Journal of Statistical Planning and Inference 196, 70-86, 2018	5	2018
Pac-bayesian bound for the conditional value at risk Z Mhammedi, B Guedj, RC Williamson arXiv preprint arXiv:2006.14763, 2020	4	2020
Online k-means Clustering V Cohen-Addad, B Guedj, V Kanade, G Rom arXiv preprint arXiv:1909.06861, 2019	4	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	4	2015

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