A Primer on PAC-Bayesian Learning B Guedj, J Shawe-Taylor ICML 2019, 2019 | 227 | 2019 |
Simpler PAC-Bayesian bounds for hostile data P Alquier, B Guedj Machine Learning 107 (5), 887-902, 2018 | 78 | 2018 |
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 | 62 | 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 | 59 | 2019 |
PAC-Bayes unleashed: Generalisation bounds with unbounded losses M Haddouche, B Guedj, O Rivasplata, J Shawe-Taylor Entropy 23 (10), 1330, 2021 | 52 | 2021 |
PAC-Bayes un-expected Bernstein inequality Z Mhammedi, P Grünwald, B Guedj Advances in Neural Information Processing Systems 32, 2019 | 49 | 2019 |
Estimating the location and shape of hybrid zones B Guedj, G Guillot Molecular Ecology Resources 11 (6), 1119-1123, 2011 | 48 | 2011 |
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 | 43 | 2023 |
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 | 43 | 2019 |
Online k-means clustering V Cohen-Addad, B Guedj, V Kanade, G Rom International Conference on Artificial Intelligence and Statistics, 1126-1134, 2021 | 39 | 2021 |
PAC-Bayes generalisation bounds for heavy-tailed losses through supermartingales M Haddouche, B Guedj arXiv preprint arXiv:2210.00928, 2022 | 31 | 2022 |
Differentiable pac–bayes objectives with partially aggregated neural networks F Biggs, B Guedj Entropy 23 (10), 1280, 2021 | 31 | 2021 |
Stability revisited: new generalisation bounds for the leave-one-out A Celisse, B Guedj arXiv preprint arXiv:1608.06412, 2016 | 28 | 2016 |
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 | 26 | 2022 |
On margins and derandomisation in PAC-Bayes F Biggs, B Guedj International Conference on Artificial Intelligence and Statistics, 3709-3731, 2022 | 26 | 2022 |
Online pac-bayes learning M Haddouche, B Guedj Advances in Neural Information Processing Systems 35, 25725-25738, 2022 | 25 | 2022 |
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 | 25 | 2020 |
PAC-Bayesian contrastive unsupervised representation learning K Nozawa, P Germain, B Guedj Conference on Uncertainty in Artificial Intelligence, 21-30, 2020 | 24 | 2020 |