Badr-Eddine Chérief-Abdellatif

17 papers A* 2A 1C 1Journal 10Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
Bayes Meets Bernstein at the Meta Level: an Analysis of Fast Rates in Meta-Learning with PAC-Bayes.
J. Mach. Learn. Res.
Charles Riou, Pierre Alquier, Badr-Eddine Chérief-Abdellatif
2025 J jnl
Maxitive Donsker-Varadhan Formulation for Possibilistic Variational Inference.
CoRR
Jasraj Singh, Shelvia Wongso, Jeremie Houssineau, Badr-Eddine Chérief-Abdellatif
2024 A* conf
Recursive PAC-Bayes: A Frequentist Approach to Sequential Prior Updates with No Information Loss.
NeurIPS
Yi-Shan Wu, Yijie Zhang, Badr-Eddine Chérief-Abdellatif, Yevgeny Seldin
2024 J jnl
Recursive PAC-Bayes: A Frequentist Approach to Sequential Prior Updates with No Information Loss.
CoRR
Yi-Shan Wu, Yijie Zhang, Badr-Eddine Chérief-Abdellatif, Yevgeny Seldin
2023 J jnl
Bayes meets Bernstein at the Meta Level: an Analysis of Fast Rates in Meta-Learning with PAC-Bayes.
CoRR
Charles Riou, Pierre Alquier, Badr-Eddine Chérief-Abdellatif
2023 — conf
Label Shift Quantification with Robustness Guarantees via Distribution Feature Matching.
ECML/PKDD (5)
Bastien Dussap, Gilles Blanchard, Badr-Eddine Chérief-Abdellatif
2023 J jnl
Label Shift Quantification with Robustness Guarantees via Distribution Feature Matching.
CoRR
Bastien Dussap, Gilles Blanchard, Badr-Eddine Chérief-Abdellatif
2022 A conf
On PAC-Bayesian reconstruction guarantees for VAEs.
AISTATS
Badr-Eddine Chérief-Abdellatif, Yuyang Shi, Arnaud Doucet, Benjamin Guedj
2022 J jnl
On PAC-Bayesian reconstruction guarantees for VAEs.
CoRR
Badr-Eddine Chérief-Abdellatif, Yuyang Shi, Arnaud Doucet, Benjamin Guedj
2020 A* conf
Convergence Rates of Variational Inference in Sparse Deep Learning.
ICML
Badr-Eddine Chérief-Abdellatif
2019 C conf
A Generalization Bound for Online Variational Inference.
ACML
Badr-Eddine Chérief-Abdellatif, Pierre Alquier, Mohammad Emtiyaz Khan
2019 J jnl
A Generalization Bound for Online Variational Inference.
CoRR
Badr-Eddine Chérief-Abdellatif, Pierre Alquier, Mohammad Emtiyaz Khan
2019 J jnl
Finite sample properties of parametric MMD estimation: robustness to misspecification and dependence.
CoRR
Badr-Eddine Chérief-Abdellatif, Pierre Alquier
2019 J jnl
Generalization Error Bounds for Deep Variational Inference.
CoRR
Badr-Eddine Chérief-Abdellatif
2019 — conf
MMD-Bayes: Robust Bayesian Estimation via Maximum Mean Discrepancy.
AABI
Badr-Eddine Chérief-Abdellatif, Pierre Alquier
2019 J jnl
MMD-Bayes: Robust Bayesian Estimation via Maximum Mean Discrepancy.
CoRR
Badr-Eddine Chérief-Abdellatif, Pierre Alquier
2018 — conf
Consistency of ELBO maximization for model selection.
AABI
Badr-Eddine Chérief-Abdellatif