Caron, Francois

20 publications

NeurIPS 2025 Anytime-Valid, Bayes-Assisted, Prediction-Powered Inference Valentin Kilian, Stefano Cortinovis, Francois Caron

ICML 2025 FAB-PPI: Frequentist, Assisted by Bayes, Prediction-Powered Inference Stefano Cortinovis, Francois Caron

TMLR 2025 Over-Parameterised Shallow Neural Networks with Asymmetrical Node Scaling: Global Convergence Guarantees and Feature Learning Francois Caron, Fadhel Ayed, Paul Jung, Hoil Lee, Juho Lee, Hongseok Yang

JMLR 2023 Deep Neural Networks with Dependent Weights: Gaussian Process Mixture Limit, Heavy Tails, Sparsity and Compressibility Hoil Lee, Fadhel Ayed, Paul Jung, Juho Lee, Hongseok Yang, Francois Caron

NeurIPSW 2023 Deep Neural Networks with Dependent Weights: \\Gaussian Process Mixture Limit, Heavy Tails, Sparsity and Compressibility Hoil Lee, Fadhel Ayed, Paul Jung, Juho Lee, Hongseok Yang, Francois Caron

NeurIPSW 2023 Over-Parameterised Shallow Neural Networks with Asymmetrical Node Scaling: \\ Global Convergence Guarantees and Feature Learning Fadhel Ayed, Francois Caron, Paul Jung, Juho Lee, Hoil Lee, Hongseok Yang

ECML-PKDD 2022 Bayesian Nonparametrics for Sparse Dynamic Networks Cian Naik, François Caron, Judith Rousseau, Yee Whye Teh, Konstantina Palla

AISTATS 2020 Non-Exchangeable Feature Allocation Models with Sublinear Growth of the Feature Sizes Giuseppe Di Benedetto, Francois Caron, Yee Whye Teh

AISTATS 2019 A Bayesian Model for Sparse Graphs with Flexible Degree Distribution and Overlapping Community Structure Juho Lee, Lancelot James, Seungjin Choi, Francois Caron

ICML 2019 Beyond the Chinese Restaurant and Pitman-Yor Processes: Statistical Models with Double Power-Law Behavior Fadhel Ayed, Juho Lee, Francois Caron

NeurIPS 2018 Modelling Sparsity, Heterogeneity, Reciprocity and Community Structure in Temporal Interaction Data Xenia Miscouridou, Francois Caron, Yee Whye Teh

NeurIPS 2017 Clone MCMC: Parallel High-Dimensional Gaussian Gibbs Sampling Andrei-Cristian Barbos, Francois Caron, Jean-François Giovannelli, Arnaud Doucet

JMLR 2017 Generalized P{\'o}lya Urn for Time-Varying Pitman-Yor Processes François Caron, Willie Neiswanger, Frank Wood, Arnaud Doucet, Manuel Davy

NeurIPS 2013 Probabilistic Low-Rank Matrix Completion with Adaptive Spectral Regularization Algorithms Adrien Todeschini, François Caron, Marie Chavent

NeurIPS 2012 Bayesian Nonparametric Models for Bipartite Graphs Francois Caron

NeurIPS 2012 Bayesian Nonparametric Models for Ranked Data Francois Caron, Yee W. Teh

UAI 2012 Plackett-Luce Regression: A New Bayesian Model for Polychotomous Data Cédric Archambeau, Francois Caron

NeurIPS 2009 Bayesian Nonparametric Models on Decomposable Graphs Francois Caron, Arnaud Doucet

ICML 2008 Sparse Bayesian Nonparametric Regression Francois Caron, Arnaud Doucet

UAI 2007 Generalized Polya Urn for Time-Varying Dirichlet Process Mixtures Francois Caron, Manuel Davy, Arnaud Doucet