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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

Cortinovis, S., Battaglia, L. and Caron, F. (2026) “SLICE: Sequential Likelihood-Free Inference via Conformal E-Values”, arXiv.
Kilian, V., Cortinovis, S. and Caron, F. (2026) “Anytime-valid, Bayes-assisted, prediction-powered inference”, in Neural Information Processing Systems. Conference. 39th 2025. Advances in Neural Information Processing Systems 38. Curran Associates, pp. 1035–1053.
Ashouritaklimi, K. et al. (2026) “Prediction-Powered Active Testing”, arXiv.
Ashouritaklimi, K., Cortinovis, S. and Caron, F. (2026) “Robust Bayes-Assisted Conformal Prediction”, arXiv.
Cortinovis, S. and Caron, F. (2026) “Bayes-assisted Confidence Regions: Focal Point Estimator and Bounded-influence Priors”, arXiv.
Kilian, V., Cortinovis, S. and Caron, F. (2026) “Asymptotically Log-Optimal Bayes-Assisted Confidence Sequences for Bounded Means”, arXiv.
Cortinovis, S., Kilian, V. and Caron, F. (2026) “Confidence sequences with informative, bounded-influence priors”, arXiv.
Ashouritaklimi, K., Cortinovis, S. and Caron, F. (2026) “Robust Bayes-assisted conformal prediction”, in. Proceedings of Machine Learning Research.
Cortinovis, S. and Caron, F. (2026) “FAB-PPI: Frequentist, assisted by Bayes, prediction-powered inference”, in Proceedings of the 42nd International Conference on Machine Learning. Journal of Machine Learning Research.
Cortinovis, S., Kilian, V. and Caron, F. (2026) “Confidence sequences with informative, bounded-influence priors”, Electronic Journal of Statistics, 20(2), pp. 4727–4762.

Contact Details

Tutorial Fellow at Keble College

Office: 1.20

Tel: +44 (0)1865 282 865