Benjamin Guedj

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Pierre AlquierCenter for Advanced Intelligence Project (AIP), RIKEN, TokyoVerified email at postman.riken.jp
Gérard BiauProfessor, Sorbonne University, ParisVerified email at sorbonne-universite.fr
John Shawe-TaylorUCLVerified email at cs.ucl.ac.uk
Gilles GuillotIPRIVerified email at i-pri.org
Bhargav Srinivasa DesikanResearch Fellow, University of ChicagoVerified email at uchicago.edu
Pascal GermainAssistant Professor, Université LavalVerified email at inria.fr
Zakaria MhammediAustralian National UniversityVerified email at anu.edu.au
François LavioletteUniversité Laval, Associate member at MILAVerified email at ift.ulaval.ca
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
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
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
Omar RivasplataDeepMind / UCLVerified email at cs.ucl.ac.uk
Gaël LetartePhD Student, Laval UniversityVerified email at ulaval.ca
Peter GrünwaldGroup Leader Machine Learning, CWI; Professor of Statistics, Leiden UniversityVerified email at cwi.nl
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


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
A Primer on PAC-Bayesian Learning B Guedj, J Shawe-Taylor ICML 2019, 2019	52	2019
COBRA: A combined regression strategy G Biau, A Fischer, B Guedj, JD Malley Journal of Multivariate Analysis 146, 18-28, 2016	50*	2016
PAC-Bayesian Estimation and Prediction in Sparse Additive Models B Guedj, P Alquier Electronic Journal of Statistics 7, 264-291, 2013	48	2013
Estimating the location and shape of hybrid zones B Guedj, G Guillot Molecular Ecology Resources 11 (6), 1119-1123, 2011	37	2011
Simpler PAC-Bayesian bounds for hostile data P Alquier, B Guedj Machine Learning 107 (5), 887-902, 2018	29	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	17	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
An oracle inequality for quasi-Bayesian nonnegative matrix factorization P Alquier, B Guedj Mathematical Methods of Statistics 26 (1), 55-67, 2017	13	2017
Stability revisited: new generalisation bounds for the leave-one-out A Celisse, B Guedj arXiv preprint arXiv:1608.06412, 2016	13	2016
Dichotomize and generalize: PAC-Bayesian binary activated deep neural networks G Letarte, P Germain, B Guedj, F Laviolette arXiv preprint arXiv:1905.10259, 2019	9	2019
PAC-Bayes Un-Expected Bernstein Inequality Z Mhammedi, PD Grunwald, B Guedj arXiv preprint arXiv:1905.13367, 2019	7	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
PAC-Bayesian high dimensional bipartite ranking B Guedj, S Robbiano Journal of Statistical Planning and Inference 196, 70-86, 2018	6	2018
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	6	2015
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
Online k-means clustering V Cohen-Addad, B Guedj, V Kanade, G Rom International Conference on Artificial Intelligence and Statistics, 1126-1134, 2021	5	2021
Pac-bayesian bound for the conditional value at risk Z Mhammedi, B Guedj, RC Williamson arXiv preprint arXiv:2006.14763, 2020	5	2020
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
Perturbed model validation: A new framework to validate model relevance J Zhang, E Barr, B Guedj, M Harman, J Shawe-Taylor	5	2019

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