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Benjamin Guedj
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A Primer on PAC-Bayesian Learning
B Guedj, J Shawe-Taylor
ICML 2019, 2019
1442019
COBRA: A combined regression strategy
G Biau, A Fischer, B Guedj, JD Malley
Journal of Multivariate Analysis 146, 18-28, 2016
60*2016
Simpler PAC-Bayesian bounds for hostile data
P Alquier, B Guedj
Machine Learning 107 (5), 887-902, 2018
522018
PAC-Bayesian Estimation and Prediction in Sparse Additive Models
B Guedj, P Alquier
Electronic Journal of Statistics 7, 264-291, 2013
522013
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
342019
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
322019
PAC-Bayes un-expected Bernstein inequality
Z Mhammedi, P Grünwald, B Guedj
Advances in Neural Information Processing Systems 32, 2019
222019
PAC-Bayes unleashed: Generalisation bounds with unbounded losses
M Haddouche, B Guedj, O Rivasplata, J Shawe-Taylor
Entropy 23 (10), 1330, 2021
212021
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
182020
A quasi-Bayesian perspective to online clustering
L Li, B Guedj, S Loustau
17*2018
An oracle inequality for quasi-Bayesian nonnegative matrix factorization
P Alquier, B Guedj
Mathematical Methods of Statistics 26, 55-67, 2017
172017
Online k-means clustering
V Cohen-Addad, B Guedj, V Kanade, G Rom
International Conference on Artificial Intelligence and Statistics, 1126-1134, 2021
162021
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
16*2019
Pycobra: A python toolbox for ensemble learning and visualisation
B Guedj, BS Desikan
Journal of Machine Learning Research 18 (190), 1-5, 2018
152018
Stability revisited: new generalisation bounds for the leave-one-out
A Celisse, B Guedj
arXiv preprint arXiv:1608.06412, 2016
152016
Differentiable pac–bayes objectives with partially aggregated neural networks
F Biggs, B Guedj
Entropy 23 (10), 1280, 2021
142021
Still no free lunches: the price to pay for tighter PAC-Bayes bounds
B Guedj, L Pujol
Entropy 23 (11), 1529, 2021
132021
On margins and derandomisation in PAC-Bayes
F Biggs, B Guedj
International Conference on Artificial Intelligence and Statistics, 3709-3731, 2022
122022
PAC-Bayesian contrastive unsupervised representation learning
K Nozawa, P Germain, B Guedj
Conference on Uncertainty in Artificial Intelligence, 21-30, 2020
112020
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