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

Lee, H., Ayed, F., Jung, P., Lee, J., Yang, H. and Caron, F. (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 [Preprint].
Naik, C., Caron, F., Rousseau, J., Teh, Y. and Palla, K. (2023) “Bayesian nonparametrics for sparse dynamic networks”, in Machine Learning and Knowledge Discovery in Databases. ECML PKDD 2022. Springer, pp. 191–206.
Naik, C., Caron, F., Rousseau, J., Teh, Y. and Palla, K. (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.
Ayed, F., Lee, J. and Caron, F. (2022) “The Normal-Generalised Gamma-Pareto process: a novel pure-jump Levy process with flexible tail and jump-activity properties”, Bayesian Analysis [Preprint].
Di Benedetto, G., Caron, F. and Teh, Y. (2021) “Non-exchangeable random partition models for microclustering”, Annals of Statistics, 49(4), pp. 1931–1957.
Ayed, F. and Caron, F. (2021) “Nonnegative Bayesian nonparametric factor models with completely random measures”, Statistics and Computing, 31(5).
Naik, C., Caron, F. and Rousseau, J. (2021) “Sparse networks with core-periphery structure”, Electronic Journal of Statistics, 15(1), pp. 1814–1868.
Di Benedetto, G., Caron, F. and Teh, Y. (2020) “Non-exchangeable random partition models for microclustering”. University of Oxford.
Di Benedetto, G., Caron, F. and Teh, Y. (2020) “Non-exchangeable feature allocation models with sublinear growth of the feature sizes”, in Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics. Proceedings of Machine Learning Research, pp. 3208–3218.

Contact Details

Tutorial Fellow at Keble College

Email: caron@stats.ox.ac.uk

Office: 1.20

Tel: +44 (0)1865 282 865

Website: www.stats.ox.ac.uk/~caron/

Research Groups

Computational Statistics and Machine Learning

Statistical Theory and Methodology