François Caron

François Caron

Statistical Machine Learning, Bayesian methods, Bayesian nonparametrics, Statistical Network Analysis

I am an Associate Professor in Statistics at the University of Oxford, a Tutorial Fellow of Keble College and a Faculty Fellow of the Alan Turing Institute.

Publications

2016

  • F. Caron, W. Neiswanger, F. Wood, A. Doucet, M. Davy, Generalized Pólya Urn for Time-Varying Pitman-Yor Processes, Journal of Machine Learning Research (JMLR), 2016.
  • T. Gray-Davies, C. Holmes, F. Caron, Scalable Bayesian nonparametric regression via a Plackett-Luce model for conditional ranks, Electronic Journal of Statistics, vol. 10, 1807–1828, 2016.
  • E. Matechou, F. Caron, Modelling individual migration patterns using a Bayesian nonparametric approach for capture-recapture data, Annals of Applied Statistics, 2016.
  • A. Todeschini, F. Caron, Exchangeable Random Measures for Sparse and Modular Graphs with Overlapping Communities, arXiv:1602.02114, 2016.
  • T. Gray-Davies, C. C. Holmes, F. Caron, . others, Scalable Bayesian nonparametric regression via a Plackett-Luce model for conditional ranks, Electronic Journal of Statistics, vol. 10, no. 2, 1807–1828, 2016.
  • K. Palla, F. Caron, Y. W. Teh, A Bayesian nonparametric model for sparse dynamic networks, Jun-2016.
    Project: bigbayes
  • K. Palla, F. Caron, Y. W. Teh, Bayesian Nonparametrics for Sparse Dynamic Networks, 2016.
    Project: bigbayes

2015

  • C. C. Holmes, F. Caron, J. E. Griffin, D. A. Stephens, Two-sample Bayesian nonparametric hypothesis testing, Bayesian Analysis, vol. 10, no. 2, 297–320, 2015.
  • C. C. Holmes, F. Caron, J. E. Griffin, D. A. Stephens, . others, Two-sample Bayesian nonparametric hypothesis testing, Bayesian Analysis, vol. 10, no. 2, 297–320, 2015.

2014

  • F. Caron, E. Fox, Sparse Graphs using exchangeable random measures, arXiv: 1401.1137, 2014.
  • A. Todeschini, F. Caron, M. Fuentes, P. Legrand, P. Del Moral, Biips: software for Bayesian inference with interacting particle systems, arXiv:1412.3779, 2014.
  • F. Caron, Y. W. Teh, B. T. Murphy, Bayesian Nonparametric Plackett-Luce Models for the Analysis of Preferences for College Degree Programmes, Annals of Applied Statistics, vol. 8, no. 2, 1145–1181, 2014.

2013

  • A. Todeschini, F. Caron, M. Chavent, Probabilistic low-rank matrix completion with adaptive spectral regularization algorithms, in Advances in Neural Information Processing Systems (NIPS), 2013, 845–853.

2012

  • C. Archambeau, F. Caron, Plackett-Luce regression: A new Bayesian model for polychotomous data, in Uncertainty in Artificial Intelligence (UAI), 2012.
  • F. Caron, Bayesian nonparametric models for bipartite graphs, in Advances in Neural Information Processing Systems (NIPS), 2012.
  • A. Lee, F. Caron, A. Doucet, C. Holmes, . others, Bayesian sparsity-path-analysis of genetic association signal using generalized t priors, Statistical applications in genetics and molecular biology, vol. 11, no. 2, 1–29, 2012.
  • F. Caron, C. Holmes, E. Rio, On the sampling distribution of an $\backslash ell\^ 2$ distance between Empirical Distribution Functions with applications to nonparametric testing, PhD thesis, INRIA, 2012.
  • F. Caron, C. Holmes, E. Rio, On the sampling distribution of an l2 norm of the Empirical Distribution Function, with applications to two-sample nonparametric testing, 2012.
  • F. Caron, Y. W. Teh, Bayesian Nonparametric Models for Ranked Data, in Advances in Neural Information Processing Systems (NIPS), 2012.

2010

  • A. Lee, F. Caron, A. Doucet, C. Holmes, A hierarchical Bayesian framework for constructing sparsity-inducing priors, arXiv preprint arXiv:1009.1914, 2010.

2009

  • F. Caron, A. Doucet, Bayesian Nonparametric Models on Decomposable Graphs, in Advances in Neural Information Processing Systems (NIPS), 2009.

2008

  • F. Caron, M. Davy, A. Doucet, E. Duflos, P. Vanheeghe, Bayesian inference for linear dynamic models with Dirichlet process mixtures, IEEE Transactions on Signal Processing, vol. 56, no. 1, 71–84, 2008.

2007

  • F. Caron, M. Davy, A. Doucet, Generalized Polya urn for time-varying Dirichlet process mixtures, in Uncertainty in Artificial Intelligence (UAI), 2007.