3 citations · 3 across the 4 of their papers we have counts for
1 paper · 2 filters
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…