6 citations · 12 across the 4 of their papers we have counts for
4 papers
Prior and Likelihood Choices for Bayesian Matrix Factorisation on Small Datasets
Thomas Brouwer, Pietro Lio'
In this paper, we study the effects of different prior and likelihood choices for Bayesian matrix factorisation, focusing on small datasets. These choices can greatly influence the…
Comparative Study of Inference Methods for Bayesian Nonnegative Matrix Factorisation
Thomas Brouwer, Jes Frellsen, Pietro Lió
In this paper, we study the trade-offs of different inference approaches for Bayesian matrix factorisation methods, which are commonly used for predicting missing values, and for f…
Bayesian Hybrid Matrix Factorisation for Data Integration
Thomas Brouwer, Pietro Lió
We introduce a novel Bayesian hybrid matrix factorisation model (HMF) for data integration, based on combining multiple matrix factorisation methods, that can be used for in- and o…
Fast Bayesian Non-Negative Matrix Factorisation and Tri-Factorisation
Thomas Brouwer, Jes Frellsen, Pietro Lio'
We present a fast variational Bayesian algorithm for performing non-negative matrix factorisation and tri-factorisation. We show that our approach achieves faster convergence per i…