Scholar
Pierre Alquier
Google Scholar ID: ngkCAJYAAAAJ
ESSEC Business School
Statistical learning theory
aggregation of estimators
approximate posterior inference
mathematical statistics
PAC-Bayes
Follow
Homepage
↗
Google Scholar
↗
Citations & Impact
All-time
Citations
2,182
H-index
25
i10-index
40
Publications
20
Co-authors
49
list available
Publications
8 items
Position: agentic AI orchestration should be Bayes-consistent
2026
Cited
0
Variational Approximations for Robust Bayesian Inference via Rho-Posteriors
2026
Cited
0
Empirical PAC-Bayes bounds for Markov chains
2025
Cited
0
Convergence of Statistical Estimators via Mutual Information Bounds
2024
Cited
0
Minimax optimality of deep neural networks on dependent data via PAC-Bayes bounds
arXiv.org · 2024
Cited
0
Variance-Aware Estimation of Kernel Mean Embedding
arXiv.org · 2022
Cited
2
User-friendly introduction to PAC-Bayes bounds
Found. Trends Mach. Learn. · 2021
Cited
180
Finite sample properties of parametric MMD estimation: robustness to misspecification and dependence
Bernoulli · 2019
Cited
34
Co-authors
11 total
Nicolas Chopin
Professor of Statistics, ENSAE (Institut Polytechnique de Paris)
Badr-Eddine Chérief-Abdellatif
CNRS, Sorbonne Université, Université Paris Cité
Benjamin Guedj
Inria and University College London (UCL)
Olivier Wintenberger
LPSM, Sorbonne University
Mohamed Hebiri
Université Paris-Est -- Marne-la-Vallée
Nial Friel
Professor of Statistics, University College Dublin.
Gérard Biau
Professor, Sorbonne University, Paris
Richard G. Everitt
University of Warwick
