University of Oxford, Department of Statistics logo
Professor François Caron
Professor of Statistics

Biography

I am a Professor of Statistics at the University of Oxford and a Tutorial Fellow of Keble College.

Research Interests

  • Statistical machine learning
  • Computational statistics
  • Bayesian statistics
  • Bayesian nonparametrics
  • Network analysis

I am interested in the development of statistical models and computational procedures for the analysis of structured data. I have a particular interest in Bayesian nonparametrics and Monte Carlo methods.

Publications

Kilian, V., Cortinovis, S. and Caron, F. (2025) “Anytime-valid, Bayes-assisted, Prediction-Powered Inference”, arXiv.
Cortinovis, S. and Caron, F. (2025) “FAB-PPI: Frequentist, Assisted by Bayes, Prediction-Powered Inference”, arXiv.
Kilian, V., Guedj, B. and Caron, F. (2025) “Rapidly Varying Completely Random Measures for Modeling Extremely Sparse Networks”, arXiv.
Caron, F. et al. (2025) “Over-parameterised shallow neural networks with asymmetrical node scaling: global convergence guarantees and feature learning”, Transactions on Machine Learning Research, 2025(2).
Naulet, Z., Rousseau, J. and Caron, F. (2024) “Asymptotic analysis of statistical estimators related to MultiGraphex processes under misspecification”, Bernoulli, 30(4), pp. 2644–2675.
Caron, F., Panero, F. and Rousseau, J. (2023) “On sparsity, power-law, and clustering properties of graphex processes - ADDENDUM”, Advances in Applied Probability, pp. 1–1.
Lee, H. et al. (2023) “Deep neural networks with dependent weights: Gaussian process mixture limit, heavy tails, sparsity and compressibility”, Journal of Machine Learning Research, 24, pp. 1–78.
Caron, F., Panero, F. and Rousseau, J. (2023) “On sparsity, power-law and clustering properties of graphex processes”, Advances in Applied Probability, 55(4), pp. 1211–1253.
Lee, J., Miscouridou, X. and Caron, F. (2023) “A unified construction for series representations and finite approximations of completely random measures”, Bernoulli, 29(3), pp. 2142–2166.
Naik, C. et al. (2023) “Bayesian Nonparametrics for Sparse Dynamic Networks”, in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer Nature, pp. 191–206.

Contact Details

Tutorial Fellow at Keble College

Office: 1.20

Tel: +44 (0)1865 282 865