Benjamin Guedj - Google Scholar Citations

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	All	Since 2014
Citations	174	145
h-index	7	7
i10-index	5	5

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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 upmc.fr
Gilles GuillotInternational Prevention Research InstituteVerified email at i-pri.org
Alain CelisseUniversité de Lille - CNRS INRIAVerified email at math.univ-lille1.fr
stephane chretiensenior research scientistVerified email at npl.co.uk
Bhargav Srinivasa DesikanResearch Engineer, Inria Lille-Nord EuropeVerified email at inria.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
John Shawe-TaylorUCLVerified email at cs.ucl.ac.uk
Mark HarmanEngineering Manager at Facebook, London & Professor of Software Engineering at UCLVerified email at ucl.ac.uk
Earl T. BarrSenior Lecturer, 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 LegrandCNRS, University of GrenobleVerified email at imag.fr
Jie M. ZhangResearch Fellow, University College LondonVerified email at ucl.ac.uk
Eric MoulinesProfesseur, Ecole Polytechnique, Membre de l'Académie des SciencesVerified email at polytechnique.edu
Christophe BiernackiUniversity Lille 1Verified email at math.univ-lille1.fr
Colot OlivierUniversité Lille 1Verified email at univ-lille1.fr

Benjamin Guedj

Inria & University College London

Verified email at inria.fr - Homepage

machine learning deep learning statistical learning theory PAC-Bayesian theory stochastic algorithms


Title	Cited by	Year
PAC-Bayesian Estimation and Prediction in Sparse Additive Models B Guedj, P Alquier Electronic Journal of Statistics 7, 264-291, 2013	42	2013
Estimating the location and shape of hybrid zones B Guedj, G Guillot Molecular Ecology Resources 11 (6), 1119-1123, 2011	36	2011
COBRA: A combined regression strategy G Biau, A Fischer, B Guedj, JD Malley Journal of Multivariate Analysis 146, 18-28, 2016	28*	2016
Simpler PAC-Bayesian bounds for hostile data P Alquier, B Guedj Machine Learning 107 (5), 887-902, 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	11	2017
Stability revisited: new generalisation bounds for the Leave-one-Out A Celisse, B Guedj arXiv preprint arXiv:1608.06412, 2016	9	2016
A quasi-Bayesian perspective to online clustering L Li, B Guedj, S Loustau Electronic Journal of Statistics 12 (2), 3071-3113, 2018	8*	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
PAC-Bayesian high dimensional bipartite ranking B Guedj, S Robbiano Journal of Statistical Planning and Inference 196, 70-86, 2018	4	2018
A primer on PAC-Bayesian learning B Guedj arXiv preprint arXiv:1901.05353, 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
Attributing and Referencing (Research) Software: Best Practices and Outlook from Inria P Alliez, R Di Cosmo, B Guedj, A Girault, MS Hacid, A Legrand, ... arXiv preprint arXiv:1905.11123, 2019	1	2019
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	1	2019
Revisiting clustering as matrix factorisation on the Stiefel manifold S Chrétien, B Guedj arXiv preprint arXiv:1903.04479, 2019	1	2019
Pycobra: A python toolbox for ensemble learning and visualisation B Guedj, BS Desikan Journal of Machine Learning Research 18 (190), 1-5, 2018	1	2018
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	1	2014
PAC-Bayes Un-Expected Bernstein Inequality Z Mhammedi, PD Grunwald, B Guedj arXiv preprint arXiv:1905.13367, 2019		2019
Dichotomize and Generalize: PAC-Bayesian Binary Activated Deep Neural Networks G Letarte, P Germain, B Guedj, F Laviolette arXiv preprint arXiv:1905.10259, 2019		2019
Non-linear aggregation of filters to improve image denoising B Guedj, J Rengot arXiv preprint arXiv:1904.00865, 2019		2019

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