Consistency of ELBO maximization for model selection. - Badr-Eddine Chérief-Abdellatif (AABI, 2018)

MMD-Bayes: Robust Bayesian Estimation via Maximum Mean Discrepancy. - Badr-Eddine Chérief-Abdellatif; Pierre Alquier (AABI, 2019)

A Generalization Bound for Online Variational Inference. - Badr-Eddine Chérief-Abdellatif; Pierre Alquier; Mohammad Emtiyaz Khan (ACML, 2019)

Generalization Error Bounds for Deep Variational Inference. - Badr-Eddine Chérief-Abdellatif (CoRR, 2019)

Finite sample properties of parametric MMD estimation: robustness to misspecification and dependence. - Badr-Eddine Chérief-Abdellatif; Pierre Alquier (CoRR, 2019)

Convergence Rates of Variational Inference in Sparse Deep Learning. - Badr-Eddine Chérief-Abdellatif (ICML, 2020)

On PAC-Bayesian reconstruction guarantees for VAEs. - Badr-Eddine Chérief-Abdellatif; Yuyang Shi 002; Arnaud Doucet; Benjamin Guedj (AISTATS, 2022)

Label Shift Quantification with Robustness Guarantees via Distribution Feature Matching. - Bastien Dussap; Gilles Blanchard; Badr-Eddine Chérief-Abdellatif (ECML/PKDD (5), 2023)

Bayes meets Bernstein at the Meta Level: an Analysis of Fast Rates in Meta-Learning with PAC-Bayes. - Charles Riou; Pierre Alquier; Badr-Eddine Chérief-Abdellatif (CoRR, 2023)

Recursive PAC-Bayes: A Frequentist Approach to Sequential Prior Updates with No Information Loss. - Yi-Shan Wu 003; Yijie Zhang; Badr-Eddine Chérief-Abdellatif; Yevgeny Seldin (NeurIPS, 2024)