PaperMetrixEvidence-aware discovery
EN
Interface language English EN العربية AR Türkçe TR
Create account
Researcher profile

Badr-Eddine Chérief-Abdellatif

2 papers in the PaperMetrix corpus

Publications

Papers by this author

  1. Convergence Rates of Variational Inference in Sparse Deep Learning

    2019 · arXiv (Cornell University)

    Variational inference is becoming more and more popular for approximating intractable posterior distributions in Bayesian statistics and machine learning. Meanwhile, a few recent works have provided theoretical justification and new insights on deep neural networks …

  2. Bayes meets Bernstein at the Meta Level: an Analysis of Fast Rates in Meta-Learning with PAC-Bayes

    2023 · HAL (Le Centre pour la Communication Scientifique Directe)

    Bernstein's condition is a key assumption that guarantees fast rates in machine learning. For example, the Gibbs algorithm with prior $π$ has an excess risk in $O(d_π/n)$, as opposed to the standard $O(\sqrt{d_π/n})$, where $n$ …