Badr-Eddine Chérief-Abdellatif

About me

I am a CNRS researcher (Chargé de Recherche) in the Laboratoire de Probabilités, Statistique et Modélisation (LPSM) at Sorbonne Université & Université Paris Cité.

My research covers the fundamental aspects of mathematical statistics and machine learning, with a particular focus on the development of tractable and efficient learning methods, and on understanding their statistical properties and their ability to generalize. I am particularly interested in variational inference and in PAC-Bayes theory, and more generally in robust & high-dimensional statistics, and in online, transfer & deep learning.

Prior to that, I was a postdoctoral researcher in the Department of Statistics at the University of Oxford, working with Arnaud Doucet. I received my PhD in 2020 from Institut Polytechnique de Paris, prepared in the Center for Research in Economics and Statistics (CREST), Paris, under the supervision of Pierre Alquier.

You can find here my PhD thesis.

Publications

Preprints

• Bayes meets Bernstein at the Meta Level: an Analysis of Fast Rates in Meta-Learning with PAC-Bayes.
  C. Riou, P. Alquier, B.-E. C.-A.
  Preprint ArXiv, 2023.
  

Journal

• Estimation of Copulas via Maximum Mean Discrepancy.
  P. Alquier, B.-E. C.-A., A. Derumigny, J.-D. Fermanian
  Accepted to Journal of the American Statistical Association (JASA), 2022.
  The paper comes with an R package: MMDCopula .
  

• Finite sample properties of parametric MMD estimation: robustness to misspecification and dependence.
  B.-E. C.-A., P. Alquier
  Bernoulli, 2022.
  

• Consistency of Variational Bayes Inference for Estimation and Model Selection in Mixtures.
  B.-E. C.-A., P. Alquier
  Electronic Journal of Statistics, 2018.

Conference

• On PAC-Bayesian reconstruction guarantees for VAEs.
  B.-E. C.-A., Y. Shi, A. Doucet, B. Guedj
  Accepted to the 25th International Conference on Artificial Intelligence and Statistics (AISTATS), 2022.
  

• Convergence Rates of Variational Inference in Sparse Deep Learning.
  B.-E. C.-A.
  Proceedings of the 37th International Conference on Machine Learning (ICML), 2020.
  

• MMD-Bayes: Robust Bayesian Estimation via Maximum Mean Discrepancy.
  B.-E. C.-A., P. Alquier
  Proceedings of the 2nd Symposium on Advances in Approximate Bayesian Inference (AABI), 2020.
  

• A Generalization Bound for Online Variational Inference.
  B.-E. C.-A., P. Alquier, M.E. Khan
  Proceedings of the 11th Asian Conference on Machine Learning (ACML), 2019.
  Best Paper Award ACML 2019.

• Consistency of ELBO maximization for model selection.
  B.-E. C.-A.
  Proceedings of the 1st Symposium on Advances in Approximate Bayesian Inference (AABI), 2019.
  Travel Award.

Teaching

Lecturer 2022-...

• Sorbonne Université -- M2 - PAC-Bayes theory & Variational inference.
• Ecole des Ponts ParisTech -- 2A - High-Dimensional Statistics.
• ESSEC Business School -- 1A - Business Statistics & Analytics.

Talks

Invited talks

• Ecole des Ponts, Stochastic Methods Seminar, Champs-sur-Marne (France), Feb. 2023.
• University College London, Statistical Science Seminar, London (UK), Jan. 2023.
• Institut Henri Poincaré, Young Statisticians and Probabilists day, Paris (UK), Jan. 2023.
• University of Warwick, Statistics Seminar, Warwick (UK), June 2022.
• DeepMind/ELLIS CSML Seminar Series, London (UK), May 2022.
• INRAE, MaIAGE team Seminar, Jouy-en-Josas (France), January 2022.
• Université Paris-Saclay, Probability and Statistics Seminar, Orsay (France), December 2021.
• University of Bristol, Statistics Seminar, Bristol (UK), October 2021.
• Imperial College London, Statistics Seminar, London (UK), May 2021.
• Sorbonne Université - Université de Paris, LPSM Statistics Seminar, Paris (France), January 2021.
• Alan Turing Institute, DCE Seminar, London (UK), September 2020.
• ICML (Remote), July 2020.
• PhD Defense, Palaiseau (France), June 2020.
• RIKEN AIP, Tokyo (Japan), PI Seminar, February 2020.
• CREST, Palaiseau (France), Statistics - Machine Learning - Econometrics Seminar, November 2019.
• I2M, Marseille (France), Statistics Seminar, November 2019.
• INRIA-ENS, Paris (France), Sierra Seminar, October 2019.
• Second-year PhD student days, Ecole Doctorale Mathématiques Hadamard, Palaiseau (France), May 2019.
• AABI Symposium, Montréal (Canada), December 2018. Oral Presentation, Travel Award.
• CREST, Palaiseau (France), Statistics - Machine Learning - Econometrics Seminar, October 2018.
• Université Paris Sud, Orsay (France), Probability and Statistics Seminar, June 2018.

Poster presentations

• MHC Conference, Université Paris-Saclay, Orsay (France), June 2021.
• AABI Symposium at NeurIPS, Vancouver (Canada), December 2019.
• Workshop on High-Dimensional Models, HSE, St. Petersburg (Russia), August 2019.
• AABI Symposium at NeurIPS, Montréal (Canada), December 2018.

Short CV

Curriculum Vitae

Academic Position

• 2022-........ -- Chargé de Recherche -- CNRS
• 2020-2022 -- Postdoc -- University of Oxford
• 2017-2020 -- PhD -- Institut Polytechnique de Paris