65 citations · 87 across the 5 of their papers we have counts for
3 papers · 1 filter
Actually Sparse Variational Gaussian Processes
Harry Jake Cunningham, Daniel Augusto de Souza, So Takao +2
Gaussian processes (GPs) are typically criticised for their unfavourable scaling in both computational and memory requirements. For large datasets, sparse GPs reduce these demands…
Variational Gaussian Process Auto-Encoder for Ordinal Prediction of Facial Action Units
Stefanos Eleftheriadis, Ognjen Rudovic, Marc P. Deisenroth +1
We address the task of simultaneous feature fusion and modeling of discrete ordinal outputs. We propose a novel Gaussian process(GP) auto-encoder modeling approach. In particular,…
Hierarchical Mixture-of-Experts Model for Large-Scale Gaussian Process Regression
Jun Wei Ng, Marc Peter Deisenroth
We propose a practical and scalable Gaussian process model for large-scale nonlinear probabilistic regression. Our mixture-of-experts model is conceptually simple and hierarchicall…