Prior and Likelihood Choices for Bayesian Matrix Factorisation on Small Datasets

no code implementations • 1 Dec 2017 • Thomas Brouwer, Pietro Lio'

These choices can greatly influence the predictive performance of the methods.

Model Selection

Comparative Study of Inference Methods for Bayesian Nonnegative Matrix Factorisation

1 code implementation • 13 Jul 2017 • 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 finding patterns in the data.

Bayesian Inference Model Selection

Bayesian Hybrid Matrix Factorisation for Data Integration

2 code implementations • 17 Apr 2017 • 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 out-of-matrix prediction of missing values.

Data Integration

Fast Bayesian Non-Negative Matrix Factorisation and Tri-Factorisation

1 code implementation • 26 Oct 2016 • Thomas Brouwer, Jes Frellsen, Pietro Lio'

We present a fast variational Bayesian algorithm for performing non-negative matrix factorisation and tri-factorisation.