3 papers
stat.ML2026
Variational Consensus Monte Carlo for Bayesian Mixture
Julie Fendler, Francesca L. Crowe, Tom Marshall +2
Motivated by the privacy, sensitivity and sharing limitations of health data, we present a comprehensive pipeline for inference of Bayesian mixture models within a federated learni…
stat.ML2025
Federated Variational Inference for Bayesian Mixture Models
Jackie Rao, Francesca L. Crowe, Tom Marshall +2
We present a federated learning approach for Bayesian model-based clustering of large-scale binary and categorical datasets. We introduce a principled 'divide and conquer' inferenc…
stat.ME2023
Efficient Bayesian functional principal component analysis of irregularly-observed multivariate curves
Tui Nolan, Sylvia Richardson, Hélène Ruffieux
The analysis of multivariate functional curves has the potential to yield important scientific discoveries in domains such as healthcare, medicine, economics and social sciences. H…