3 citations · 3 across the 4 of their papers we have counts for
4 papers
Dynamic Gaussian Processes and the Vanilla-SPDE Exchange
Rui-Yang Zhang, Lachlan Astfalck, Edward Cripps +2
Gaussian process inference is often limited by cubic computational costs, a challenge that becomes more pronounced in spatio-temporal settings where posterior inference is required…
Gaussian Processes on Hypergraphs
Thomas Pinder, Kathryn Turnbull, Christopher Nemeth +1
We derive a Matern Gaussian process (GP) on the vertices of a hypergraph. This enables estimation of regression models of observed or latent values associated with the vertices, in…
A Probabilistic Assessment of the COVID-19 Lockdown on Air Quality in the UK
Thomas Pinder, Michael Hollaway, Christopher Nemeth +2
In March 2020 the United Kingdom (UK) entered a nationwide lockdown period due to the Covid-19 pandemic. As a result, levels of nitrogen dioxide (NO2) in the atmosphere dropped. In…
Stein Variational Gaussian Processes
Thomas Pinder, Christopher Nemeth, David Leslie
We show how to use Stein variational gradient descent (SVGD) to carry out inference in Gaussian process (GP) models with non-Gaussian likelihoods and large data volumes. Markov cha…