Benjamin Guedj

Cited by

	All	Since 2019
Citations	1569	1428
h-index	23	23
i10-index	40	39

440

220

110

330

20122013201420152016201720182019202020212022202320246 20 17 14 28 14 29 60 113 150 264 395 440

Public access

View all

33 articles

0 articles

available

not available

Based on funding mandates

Co-authors

Maxime HaddoucheInriaVerified email at inria.fr
John Shawe-TaylorUCLVerified email at cs.ucl.ac.uk
Pierre AlquierESSEC Business SchoolVerified email at essec.edu
Felix BiggsPhD in Foundational AI from University College LondonVerified email at ucl.ac.uk
Arthur GrettonGatsby Computational Neuroscience Unit and Google DeepmindVerified email at gatsby.ucl.ac.uk
Antonin SchrabPhD student, UCL (AI Centre & Gatsby Unit)Verified email at ucl.ac.uk
Gérard BiauProfessor, Sorbonne University, ParisVerified email at sorbonne-universite.fr
Antoine VendevilleSciences Po ParisVerified email at sciencespo.fr
Pascal GermainAssistant Professor, Université LavalVerified email at ift.ulaval.ca
Ilmun KimYonsei UniversityVerified email at yonsei.ac.kr
Shi ZHOUDepartment of Computer Science, University College London (UCL), UKVerified email at ucl.ac.uk
Mark HarmanResearch Scientist at Meta & Professor of Software Engineering at UCLVerified email at ucl.ac.uk
Earl T. BarrProfessor, University College LondonVerified email at ucl.ac.uk
Paul ViallardResearcher, LACODAM Team, INRIA Rennes, IRISAVerified email at inria.fr
Maria Perez-OrtizAssociate Professor, University College LondonVerified email at ucl.ac.uk
Zakaria MhammediGoogle ResearchVerified email at mit.edu
Jie M. ZhangLecturer (Assistant Professor), King's College LondonVerified email at kcl.ac.uk
Mélisande AlbertINSA de ToulouseVerified email at insa-toulouse.fr
Béatrice Laurent,INSA de Toulouse, Institut de Mathématiques de Toulouse et ANITIVerified email at insa-toulouse.fr
Arnaud DoucetGoogle DeepMindVerified email at google.com

Benjamin Guedj

Inria and University College London (UCL)

Verified email at inria.fr - Homepage

Machine learning Deep learning Statistical learning theory Computational statistics AI


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	244	2019
Simpler PAC-Bayesian bounds for hostile data P Alquier, B Guedj Machine Learning 107 (5), 887-902, 2018	85	2018
COBRA: A combined regression strategy G Biau, A Fischer, B Guedj, JD Malley Journal of Multivariate Analysis 146, 18-28, 2016	67*	2016
PAC-Bayesian Estimation and Prediction in Sparse Additive Models B Guedj, P Alquier Electronic Journal of Statistics 7, 264-291, 2013	65	2013
Dichotomize and generalize: PAC-Bayesian binary activated deep neural networks G Letarte, P Germain, B Guedj, F Laviolette Advances in Neural Information Processing Systems 32, 2019	64	2019
MMD aggregated two-sample test A Schrab, I Kim, M Albert, B Laurent, B Guedj, A Gretton Journal of Machine Learning Research 24 (194), 1-81, 2023	59	2023
PAC-Bayes unleashed: Generalisation bounds with unbounded losses M Haddouche, B Guedj, O Rivasplata, J Shawe-Taylor Entropy 23 (10), 1330, 2021	59	2021
PAC-Bayes un-expected Bernstein inequality Z Mhammedi, P Grünwald, B Guedj Advances in Neural Information Processing Systems 32, 2019	53	2019
Estimating the location and shape of hybrid zones B Guedj, G Guillot Molecular Ecology Resources 11 (6), 1119-1123, 2011	49	2011
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	44	2019
Online k-means clustering V Cohen-Addad, B Guedj, V Kanade, G Rom International Conference on Artificial Intelligence and Statistics, 1126-1134, 2021	42	2021
Differentiable pac–bayes objectives with partially aggregated neural networks F Biggs, B Guedj Entropy 23 (10), 1280, 2021	36	2021
PAC-Bayes generalisation bounds for heavy-tailed losses through supermartingales M Haddouche, B Guedj arXiv preprint arXiv:2210.00928, 2022	35	2022
Model validation using mutated training labels: an exploratory study JM Zhang, M Harman, B Guedj, ET Barr, J Shawe-Taylor Neurocomputing 539, 126116, 2023	33*	2023
Efficient Aggregated Kernel Tests using Incomplete -statistics A Schrab, I Kim, B Guedj, A Gretton Advances in Neural Information Processing Systems 35, 18793-18807, 2022	32	2022
Stability revisited: new generalisation bounds for the leave-one-out A Celisse, B Guedj arXiv preprint arXiv:1608.06412, 2016	30	2016
Non-vacuous generalisation bounds for shallow neural networks F Biggs, B Guedj International Conference on Machine Learning, 1963-1981, 2022	28	2022
Online pac-bayes learning M Haddouche, B Guedj Advances in Neural Information Processing Systems 35, 25725-25738, 2022	27	2022
On margins and derandomisation in PAC-Bayes F Biggs, B Guedj International Conference on Artificial Intelligence and Statistics, 3709-3731, 2022	27	2022
Generalization bounds: Perspectives from information theory and PAC-Bayes F Hellström, G Durisi, B Guedj, M Raginsky arXiv preprint arXiv:2309.04381, 2023	26	2023

The system can't perform the operation now. Try again later.

Articles 1–20

Citations per year

Duplicate citations

Merged citations

Add co-authorsCo-authors

Follow

Cited by

Co-authors