- K. Ashouritaklimi, S. Cortinovis, F. Caron. Robust
Bayes-Assisted Conformal Prediction. International
Conference on Machine Learning (ICML'2026), Seoul, Korea,
2026.
[Tech Report][Python Code]
- V. Kilian, S. Cortinovis, F. Caron. Anytime-valid,
Bayes-assisted, Prediction-Powered Inference. Neural
Information Processing Systems (NeurIPS'2025), San Diego,
USA, 2025.
[Tech Report][Python Code]
- S. Cortinovis, F. Caron. FAB-PPI: Frequentist, Assisted by
Bayes, Prediction-Powered Inference. International
Conference on Machine Learning (ICML'2025), Vancouver,
Canada, 2025.
[Tech Report][Python
Code]
- 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. Transactions
on Machine Learning Research, 2025.
[Paper][Tech Report][Python Code]
- Z. Naulet, J. Rousseau, F. Caron. Asymptotic Analysis of Statistical Estimators related
to MultiGraphex Processes under Misspecification. Bernoulli,
vol. 30, no 4, pp. 2644-2675, 2024.
[Paper][Tech
Report]
- 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, vol. 19, no 1, pp. 123-152, 2024.
[Paper][Python Code]
- 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, vol. 24, pp.1-78, 2023.
[Paper][Tech
Report][Python
Code]
- F. Caron, F. Panero, J. Rousseau. On sparsity, power-law and clustering properties of
graphex processes. Advances in Applied
Probability, vol. 55, no 4, pp.1211-1253, 2023.
[Paper][Tech
Report][Matlab
Code]
- J. Lee, X. Miscouridou, F. Caron. A unified construction for series representations and
finite approximations of completely random measures. Bernoulli,
vol. 29, no 3, pp. 2142-2166, 2023.
[Paper][Tech
Report]
- 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]