7 citations · 7 across the 1 of their papers we have counts for
3 papers
Non-linear Multitask Learning with Deep Gaussian Processes
Ayman Boustati, Theodoros Damoulas, Richard S. Savage
We present a multi-task learning formulation for Deep Gaussian processes (DGPs), through non-linear mixtures of latent processes. The latent space is composed of private processes…
Heterogeneous large datasets integration using Bayesian factor regression
Alejandra Avalos-Pacheco, David Rossell, Richard S. Savage
Two key challenges in modern statistical applications are the large amount of information recorded per individual, and that such data are often not collected all at once but in bat…
Identifying cancer subtypes in glioblastoma by combining genomic, transcriptomic and epigenomic data
Richard S. Savage, Zoubin Ghahramani, Jim E. Griffin +2
We present a nonparametric Bayesian method for disease subtype discovery in multi-dimensional cancer data. Our method can simultaneously analyse a wide range of data types, allowin…