Francois Caron
12 papers · 2009–2025 · 4 venues · across top CS/AI venues
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Achievements
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🏃 Academic Marathon · Full 🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge · Silver 🌍 Conference Polyglot · Bronze 🗺️ Taxonomy Completionist (28)
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Keyword Champion
📈
Trend Setter
💎
Century Club · Bronze
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Keyword Collector
(72)
Venues
Top co-authors
Research topics
Machine Learning
(10)
Optimization & Theory
(9)
Artificial Intelligence
(6)
Mathematics & Optimization
(6)
Bayesian & Probabilistic · Machine Learning
(6)
Bayesian & Probabilistic · Artificial Intelligence
(6)
Core Methods
(6)
Mathematics
(4)
Optimization
(3)
Data Science & Analytics
(2)
Probability
(2)
Deep Learning
(1)
Applications
(1)
Architectures
(1)
Learning Types
(1)
Keywords
bayesian nonparametrics
(6)
markov chain monte carlo
(3)
indian buffet process
(3)
dirichlet process
(2)
network analysis
(2)
community detection
(2)
pitman-yor process
(2)
network modeling
(2)
bayesian nonparametric model
(2)
gibbs sampler
(2)
gibbs sampling
(2)
chinese restaurant process
(2)
expectation maximization
(1)
time series clustering
(1)
density estimation
(1)
neural network compression
(1)
bayesian inference
(1)
prior knowledge
(1)
variational inference
(1)
feature learning
(1)
Papers
FAB-PPI: Frequentist, Assisted by Bayes, Prediction-Powered Inference
ICML 2025
Deep Neural Networks with Dependent Weights: Gaussian Process Mixture Limit, Heavy Tails, Sparsity and Compressibility
JMLR 2023
Non-exchangeable feature allocation models with sublinear growth of the feature sizes
AISTATS 2020
A Bayesian model for sparse graphs with flexible degree distribution and overlapping community structure
AISTATS 2019
Beyond the Chinese Restaurant and Pitman-Yor processes: Statistical Models with double power-law behavior
ICML 2019
Modelling sparsity, heterogeneity, reciprocity and community structure in temporal interaction data
NeurIPS 2018
Clone MCMC: Parallel High-Dimensional Gaussian Gibbs Sampling
NeurIPS 2017
Generalized Pólya Urn for Time-Varying Pitman-Yor Processes
JMLR 2017
Probabilistic Low-Rank Matrix Completion with Adaptive Spectral Regularization Algorithms
NeurIPS 2013
Bayesian nonparametric models for bipartite graphs
NeurIPS 2012
Bayesian nonparametric models for ranked data
NeurIPS 2012
Bayesian Nonparametric Models on Decomposable Graphs
NeurIPS 2009