Preprints

• F. Caron, F. Ayed, P. Jung, H. Lee, J. Lee, H. Yang. Over-parameterised Shallow Neural Networks with Asymmetrical Node Scaling: Global Convergence Guarantees and Feature Learning. arXiv:2302.01002. January 2023.
  [Tech Report][Python Code]
  
• Z. Naulet, J. Rousseau, F. Caron. Asymptotic Analysis of Statistical Estimators related to MultiGraphex Processes under Misspecification. arXiv:2107.01120. July 2021.
  [Tech Report]

International Journals & Conferences

• H. Lee, F. Ayed, P. Jung, J. Lee, H. Yang, F. Caron. Deep neural networks with dependent weights: Gaussian Process mixture limit, heavy tails, sparsity and compressibility. Journal of Machine Learning Research. To appear.
  [Tech Report][Python Code]
• F. Ayed, J. Lee, F. Caron. The Normal-Generalised Gamma-Pareto process: A novel pure-jump Lévy process with flexible tail and jump-activity properties. Bayesian Analysis. To appear.
  [Paper][Python Code]
• F. Caron, F. Panero, J. Rousseau. On sparsity, power-law and clustering properties of graphex processes. Advances in Applied Probability. To appear.
  [Tech Report]
• J. Lee, X. Miscouridou, F. Caron. A unified construction for series representations and finite approximations of completely random measures. Bernoulli. To appear.
  [Paper]
• C. Naik, F. Caron, J. Rousseau, Y.W. Teh, K. Palla. Bayesian nonparametrics for sparse dynamic networks. European Conference on Machine Learning and Data Mining (ECML PKDD), 2022.
  [Paper][Python Code]
• F. Ayed, F. Caron. Nonnegative Bayesian nonparametric factor models with completely random measures for community detection. Statistics and Computing, vol. 31, no 63, 2021.
  [Paper][Julia Code]
• C. Naik, F. Caron, J. Rousseau. Sparse Networks with Core-Periphery Structure.  Electronic Journal of Statistics 15 (1) 1814 - 1868, 2021.
  [Paper][Citation]
• G. Di Benedetto, F. Caron, Y.W. Teh. Non-exchangeable random partition models for microclustering. The Annals of Statistics. Vol. 49, No. 4, 2021.
  [Paper][Tech Report][Julia Code]
• A. Todeschini, X. Miscouridou, F. Caron. Exchangeable Random Measures for Sparse and Modular Graphs with Overlapping Communities. Journal of the Royal Statistical Society B, vol. 82, issue 2, pp.487-520, 2020.
  [Publisher][Tech Report][Matlab Code]
• G. Di Benedetto, F. Caron, Y. W. Teh. Non-exchangeable feature allocation models with sublinear growth of the feature sizes. 23rd International Conference on Artificial Intelligence and Statistics (AISTATS'2020), Palermo, Italy, June 2020.
  [Paper][Supplementary]
  
• F. Ayed, J. Lee, F. Caron. Beyond the Chinese Restaurant and Pitman-Yor processes: Statistical Models with Double Power-law Behavior. International Conference on Machine Learning (ICML'2019), Long Beach, USA, June 2019.
  [Tech Report][Matlab Code]
• J. Lee, L.F. James, S. Choi, F. Caron. A Bayesian model for sparse graphs with flexible degree distribution and overlapping community structure. 22nd International Conference on Artificial Intelligence and Statistics (AISTATS'2019), Okinawa, Japan, April 2019 .
  [Tech Report][Python Code]
  
• B.P. Hejblum, C. Alkhassim, R. Gottardo, F. Caron, R. Thiebaut. Sequential Dirichlet Process Mixtures of Multivariate Skew t-distributions for Model-based Clustering of Flow Cytometry Data. The Annals of Applied Statistics, vol. 13, No. 1, 638-660, 2019.
  [Paper][Cran R package NPflow]
• X. Miscouridou, F. Caron, Y. W. Teh. Modelling sparsity, heterogeneity, reciprocity and community structure in temporal interaction data. Neural Information Processing Systems (NeurIPS'2018), Montreal, Canada, 2018.
  [Paper][Bibtex][Supplemental][Matlab Code]
• F. Caron, E.B. Fox. Sparse graphs using exchangeable random measures. Journal of the Royal Statistical Society B (discussion paper), vol. 79, Part 5, pp. 1295-1366, 2017.
  [Paper][Matlab Code][Citation]
• E. Matechou, F. Caron. Modelling individual migration patterns using a Bayesian nonparametric approach for capture-recapture data. The Annals of Applied Statistics, vol. 11(1), pp. 21-40, 2017.
  [Paper][Bibtex]
• F. Caron, W. Neiswanger, F. Wood, A. Doucet, M. Davy. Generalized Pólya urn for time-varying Pitman-Yor processes. Journal of Machine Learning Research, vol. 18(27):1-32, 2017.
  [Paper][Bibtex]
• A. Barbos, F. Caron, J.F, Giovannelli, A. Doucet. Clone MCMC: Parallel High-Dimensional Gaussian Gibbs Sampling. Neural Information Processing Systems (NIPS'2017), Long Beach, USA, 2017.
  [Paper][Bibtex]
• T. Gray-Davies, C.C. Holmes, F. Caron. Scalable Bayesian nonparametric regression via a Plackett-Luce model for conditional ranks. Electronic Journal of Statistics, Vol. 10, pp. 1807-1828, 2016. 
  [Paper][Bibtex]
  
• C.C. Holmes, F. Caron, J.E. Griffin, D.A. Stephens. Two-sample Bayesian Nonparametric Hypothesis Testing. Bayesian Analysis, vol. 10(2), pp. 297-320, 2015.
  [Paper][Matlab/Octave Code][Bibtex]
• F. Caron, Y.W. Teh, T.B. Murphy. Bayesian nonparametric Plackett-Luce models for the analysis of preferences for college degree programmes. The Annals of Applied Statistics, vol. 8(2), pp. 1145-1181, 2014.
  [Publisher][Tech Report][Matlab/Octave Code][Slides][Bibtex]
• A. Todeschini, F. Caron, M. Chavent. Probabilistic Low Rank Matrix Completion with Adaptive Spectral Regularization Algorithms. Neural Information Processing Systems (NIPS'2013), Lake Tahoe, USA, 2013.
  [Paper][Supplementary Material][Matlab Code][Slides]
• F. Caron. Bayesian nonparametric models for bipartite graphs. Neural Information Processing Systems (NIPS'2012), Lake Tahoe, USA, 2012.
  [Paper][Supplementary Material][BibTex][Slides][Video Talk IHES]
  
• F. Caron, Y.W. Teh. Bayesian nonparametric models for ranked data. Neural Information Processing Systems (NIPS'2012), Lake Tahoe, USA, 2012.
  [Paper][Supplementary Material][BibTex]
  
• C. Archambeau, F. Caron. Plackett-Luce regression: A new Bayesian model for polychotomous data. International Conference on Uncertainty in Artificial Intelligence (UAI'2012), Catalina Island, USA, 2012.
  [Paper]
  
• A. Lee, F. Caron, A. Doucet, C.C. Holmes. Bayesian Sparsity-Path-Analysis of Genetic Association Signal using Generalized t Priors. Statistical Applications in Genetics and Molecular Biology, vol. 11(2), 2012. 
  [Publisher] [Tech Report] 

• F. Caron, A. Doucet. Efficient Bayesian Inference for generalized Bradley-Terry Models. Journal of Computational and Graphical Statistics, vol. 21(1), pp. 174-196, 2012.
  [Publisher] [Tech Report] [Matlab/Octave Code]

• F. Caron, A. Doucet, R. Gottardo. On-line Changepoint Detection and Parameter Estimation with Application to Genomic Data. Statistics and Computing, vol. 22(2), pp. 579-595, 2012.
  [Publisher] [Tech Report] 

• L. Bornn, F. Caron. Bayesian clustering in decomposable graphs. Bayesian Analysis, vol. 6(4), pp. 829-846, 2011.
  [Publisher] 

• F. Caron, P. Del Moral, A. Doucet, M. Pace. Particle approximations of a class of branching distribution arising in multi-target tracking. SIAM Journal on Control and Optimization, vol. 49(4), pp. 1766-1792, 2011.
  [Publisher] [Tech Report]  

• F. Caron, P. Del Moral, A. Doucet, M. Pace. On the conditional distributions of spatial point processes. Advances in Applied Probability, vol. 43(2), pp. 301-307, 2011.
  [Publisher] [Tech Report]

• F. Caron, P. Del Moral, M. Pace, B.N. Vo. On the stability and approximation of branching distribution flows, with applications to nonlinear multiple target filtering. Stochastic Analysis and Applications, vol. 29(6), 2011.
  [Publisher] [Tech Report]

• F. Caron, F. d'Errico, P. Del Moral, F. Santos, J. Zilhao. The Reality of Neandertal Symbolic Behavior at the Grotte du Renne, Arcy-sur-Cure, France. PLoS ONE 6(6):e21545, 2011.
  [Publisher]   

• F. Caron, A. Doucet. Bayesian Nonparametric Models on Decomposable Graphs. Neural Information Processing Systems (NIPS'2009), Vancouver, Canada, December 2009.
  [Paper] [BibTex]
• 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(1), pp. 71-84, 2008.
  [Publisher] [Tech Report]  
• F. Caron, B. Ristic, E. Duflos, P. Vanheeghe. Least Committed Basic Belief Density Induced by a Multivariate Gaussian: Formulation with Applications. International Journal of Approximate Reasoning. Vol. 48(2), pp. 419-436, 2008. In Memory of Philippe Smets (1938-2005).
  [Publisher] [Tech Report]
  

• F. Caron, A. Doucet. Sparse Bayesian nonparametric regression. International Conference on Machine Learning (ICML'2008), Helsinki, Finland, July 2008.
  [Publisher]

• F. Caron, M. Davy, A. Doucet. Generalized Polya Urn for Time-varying Dirichlet Process Mixtures. 23rd Conference on Uncertainty in Artificial Intelligence (UAI'2007), Vancouver, Canada, July 2007.

• F. Caron, M. Davy, E. Duflos, P. Vanheeghe. Particle Filtering for Multisensor Data Fusion with Switching Observation Models. Application to Land Vehicle Positioning. IEEE Transactions on Signal Processing, vol. 55(6), 2007.
  [Publisher] [Tech Report] 
• F. Caron, S.N. Razavi, J. Song, P. Vanheeghe, E. Duflos, C. Caldas and C. Haas. Locating sensor nodes on construction projects. Autonomous Robots, vol. 22(3), pp. 255-263, 2007.
  [Publisher] [Tech Report]
• F. Caron, E. Duflos, D. Pomorski, P. Vanheeghe. GPS/IMU data fusion using multisensor Kalman filtering: Introduction of contextual aspects. Information Fusion, vol. 7(2), pp. 221-230, 2006.
  [Publisher] [Tech Report] 

Technical Reports

• A. Todeschini, F. Caron, M. Fuentes, P. Legrand, P. Del Moral. Biips: Software for Bayesian Inference with Interacting Particle Systems. arXiv:1412.3779. Dec. 2014.
  [Tech Report][Biips software]
• F. Caron, C.C. Holmes, E. Rio. On the sampling distribution of an l2 distance between empirical distribution functions with applications to nonparametric testing. Research Report 7931, INRIA. April 2012 (revised version: November 2012).
  [Tech Report]
  
• F. Caron, L. Bornn, A. Doucet. Sparsity-Promoting Bayesian Dynamic Linear Models. Research Report 7895, INRIA. arXiv:1203.0106v1. Feb. 2012.
  [Tech Report] 
  

• A. Lee, F. Caron, A. Doucet, C.C. Holmes. A hierarchical Bayesian framework for constructing sparsity-inducing priors. ArXiv:1009.1914. Sept. 2010.
  [Tech Report]