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Benjamin Guedj
Benjamin Guedj
Inria and University College London (UCL)
Verified email at inria.fr - Homepage
Title
Cited by
Cited by
Year
A Primer on PAC-Bayesian Learning
B Guedj, J Shawe-Taylor
ICML 2019, 2019
2272019
Simpler PAC-Bayesian bounds for hostile data
P Alquier, B Guedj
Machine Learning 107 (5), 887-902, 2018
792018
COBRA: A combined regression strategy
G Biau, A Fischer, B Guedj, JD Malley
Journal of Multivariate Analysis 146, 18-28, 2016
66*2016
PAC-Bayesian Estimation and Prediction in Sparse Additive Models
B Guedj, P Alquier
Electronic Journal of Statistics 7, 264-291, 2013
622013
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
592019
PAC-Bayes unleashed: Generalisation bounds with unbounded losses
M Haddouche, B Guedj, O Rivasplata, J Shawe-Taylor
Entropy 23 (10), 1330, 2021
522021
PAC-Bayes un-expected Bernstein inequality
Z Mhammedi, P Grünwald, B Guedj
Advances in Neural Information Processing Systems 32, 2019
492019
Estimating the location and shape of hybrid zones
B Guedj, G Guillot
Molecular Ecology Resources 11 (6), 1119-1123, 2011
482011
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
432023
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
432019
Online k-means clustering
V Cohen-Addad, B Guedj, V Kanade, G Rom
International Conference on Artificial Intelligence and Statistics, 1126-1134, 2021
392021
PAC-Bayes generalisation bounds for heavy-tailed losses through supermartingales
M Haddouche, B Guedj
arXiv preprint arXiv:2210.00928, 2022
312022
Differentiable pac–bayes objectives with partially aggregated neural networks
F Biggs, B Guedj
Entropy 23 (10), 1280, 2021
312021
Stability revisited: new generalisation bounds for the leave-one-out
A Celisse, B Guedj
arXiv preprint arXiv:1608.06412, 2016
282016
Model validation using mutated training labels: an exploratory study
JM Zhang, M Harman, B Guedj, ET Barr, J Shawe-Taylor
Neurocomputing 539, 126116, 2023
26*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
262022
On margins and derandomisation in PAC-Bayes
F Biggs, B Guedj
International Conference on Artificial Intelligence and Statistics, 3709-3731, 2022
262022
Online pac-bayes learning
M Haddouche, B Guedj
Advances in Neural Information Processing Systems 35, 25725-25738, 2022
252022
PAC-Bayesian contrastive unsupervised representation learning
K Nozawa, P Germain, B Guedj
Conference on Uncertainty in Artificial Intelligence, 21-30, 2020
252020
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
252020
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