86 citations · 471 across the 33 of their papers we have counts for
3 papers · 1 filter
Sampling for Inference in Probabilistic Models with Fast Bayesian Quadrature
Tom Gunter, Michael A. Osborne, Roman Garnett +2
We propose a novel sampling framework for inference in probabilistic models: an active learning approach that converges more quickly (in wall-clock time) than Markov chain Monte Ca…
Propagation Kernels
Marion Neumann, Roman Garnett, Christian Bauckhage +1
We introduce propagation kernels, a general graph-kernel framework for efficiently measuring the similarity of structured data. Propagation kernels are based on monitoring how info…
The entropic basis of collective behaviour
Richard P. Mann, Roman Garnett
In this paper, we identify a radically new viewpoint on the collective behaviour of groups of intelligent agents. We first develop a highly general abstract model for the possible…