Benjamin Guedj

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Pierre AlquierCenter for Advanced Intelligence Project (AIP), RIKEN, TokyoVerified email at postman.riken.jp
John Shawe-TaylorUCLVerified email at cs.ucl.ac.uk
Gérard BiauProfessor, Sorbonne University, ParisVerified email at sorbonne-universite.fr
Gilles GuillotWorld Health OrganizationVerified email at who.int
Omar RivasplataUniversity College LondonVerified email at ualberta.ca
Pascal GermainAssistant Professor, Université LavalVerified email at ift.ulaval.ca
Bhargav Srinivasa DesikanDoctoral Researcher, EPFLVerified email at epfl.ch
François LavioletteUniversité Laval, Associate member at MILA, AI CIFAR ChairVerified email at ift.ulaval.ca
Zakaria MhammediMassachusetts Institute of TechnologyVerified email at mit.edu
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
Shi ZHOUDepartment of Computer Science, University College London (UCL), UKVerified email at ucl.ac.uk
Pierre AlliezSenior Researcher, 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
Gaël LetartePhD Student, Laval UniversityVerified email at ulaval.ca
Maria Perez-OrtizSenior Research Fellow, University College LondonVerified email at ucl.ac.uk
Felix BiggsPhD Candidate in Foundational AI at University College LondonVerified email at ucl.ac.uk

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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A Primer on PAC-Bayesian Learning B Guedj, J Shawe-Taylor ICML 2019, 2019	89	2019
PAC-Bayesian Estimation and Prediction in Sparse Additive Models B Guedj, P Alquier Electronic Journal of Statistics 7, 264-291, 2013	51	2013
COBRA: A combined regression strategy G Biau, A Fischer, B Guedj, JD Malley Journal of Multivariate Analysis 146, 18-28, 2016	50*	2016
Estimating the location and shape of hybrid zones B Guedj, G Guillot Molecular Ecology Resources 11 (6), 1119-1123, 2011	40	2011
Simpler PAC-Bayesian bounds for hostile data P Alquier, B Guedj Machine Learning 107 (5), 887-902, 2018	37	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	21	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	20	2019
A quasi-Bayesian perspective to online clustering L Li, B Guedj, S Loustau Electronic journal of statistics 12 (2), 3071-3113, 2018	16*	2018
Stability revisited: new generalisation bounds for the leave-one-out A Celisse, B Guedj arXiv preprint arXiv:1608.06412, 2016	16	2016
An oracle inequality for quasi-Bayesian nonnegative matrix factorization P Alquier, B Guedj Mathematical Methods of Statistics 26 (1), 55-67, 2017	15	2017
PAC-Bayes Un-Expected Bernstein Inequality Z Mhammedi, PD Grunwald, B Guedj arXiv preprint arXiv:1905.13367, 2019	12	2019
Perturbation validation: A new heuristic to validate machine learning models JM Zhang, M Harman, B Guedj, ET Barr, J Shawe-Taylor arXiv preprint arXiv:1905.10201, 2019	11*	2019
Pac-bayesian bound for the conditional value at risk Z Mhammedi, B Guedj, RC Williamson arXiv preprint arXiv:2006.14763, 2020	9	2020
Pycobra: A python toolbox for ensemble learning and visualisation B Guedj, BS Desikan Journal of Machine Learning Research 18 (190), 1-5, 2018	9	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	8	2015
PAC-Bayes unleashed: generalisation bounds with unbounded losses M Haddouche, B Guedj, O Rivasplata, J Shawe-Taylor Entropy 23 (10), 1330, 2021	7	2021
Still no free lunches: the price to pay for tighter PAC-Bayes bounds B Guedj, L Pujol Entropy 23 (11), 1529, 2021	6	2021
Online k-means Clustering V Cohen-Addad, B Guedj, V Kanade, G Rom International Conference on Artificial Intelligence and Statistics, 1126-1134, 2021	6	2021
PAC-Bayesian high dimensional bipartite ranking B Guedj, S Robbiano Journal of Statistical Planning and Inference 196, 70-86, 2018	6	2018
COBRA: COmBined Regression Alternative B Guedj R package version 0.99 4, 2013	6	2013

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