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Benjamin Guedj
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Cited by
Year
A Primer on PAC-Bayesian Learning
B Guedj, J Shawe-Taylor
ICML 2019, 2019
1232019
COBRA: A combined regression strategy
G Biau, A Fischer, B Guedj, JD Malley
Journal of Multivariate Analysis 146, 18-28, 2016
53*2016
PAC-Bayesian Estimation and Prediction in Sparse Additive Models
B Guedj, P Alquier
Electronic Journal of Statistics 7, 264-291, 2013
522013
Simpler PAC-Bayesian bounds for hostile data
P Alquier, B Guedj
Machine Learning 107 (5), 887-902, 2018
432018
Estimating the location and shape of hybrid zones
B Guedj, G Guillot
Molecular Ecology Resources 11 (6), 1119-1123, 2011
412011
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
292019
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
262019
PAC-Bayes un-expected Bernstein inequality
Z Mhammedi, P Grünwald, B Guedj
Advances in Neural Information Processing Systems 32, 2019
182019
PAC-Bayes unleashed: generalisation bounds with unbounded losses
M Haddouche, B Guedj, O Rivasplata, J Shawe-Taylor
Entropy 23 (10), 1330, 2021
172021
A quasi-Bayesian perspective to online clustering
L Li, B Guedj, S Loustau
Electronic journal of statistics 12 (2), 3071-3113, 2018
17*2018
An oracle inequality for quasi-Bayesian nonnegative matrix factorization
P Alquier, B Guedj
Mathematical Methods of Statistics 26 (1), 55-67, 2017
162017
Pac-bayesian bound for the conditional value at risk
Z Mhammedi, B Guedj, RC Williamson
Advances in Neural Information Processing Systems 33, 17919-17930, 2020
152020
Stability revisited: new generalisation bounds for the leave-one-out
A Celisse, B Guedj
arXiv preprint arXiv:1608.06412, 2016
142016
Online k-means clustering
V Cohen-Addad, B Guedj, V Kanade, G Rom
International Conference on Artificial Intelligence and Statistics, 1126-1134, 2021
132021
Model Validation Using Mutated Training Labels: An Exploratory Study
JM Zhang, M Harman, B Guedj, ET Barr, J Shawe-Taylor
arXiv preprint arXiv:1905.10201, 2019
13*2019
Differentiable pac–bayes objectives with partially aggregated neural networks
F Biggs, B Guedj
Entropy 23 (10), 1280, 2021
122021
Still no free lunches: the price to pay for tighter PAC-Bayes bounds
B Guedj, L Pujol
Entropy 23 (11), 1529, 2021
112021
On margins and derandomisation in PAC-Bayes
F Biggs, B Guedj
International Conference on Artificial Intelligence and Statistics, 3709-3731, 2022
102022
Pycobra: A python toolbox for ensemble learning and visualisation
B Guedj, BS Desikan
Journal of Machine Learning Research 18 (190), 1-5, 2018
102018
Learning PAC-Bayes priors for probabilistic neural networks
M Pérez-Ortiz, O Rivasplata, B Guedj, M Gleeson, J Zhang, ...
arXiv preprint arXiv:2109.10304, 2021
92021
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