86 citations · 471 across the 33 of their papers we have counts for
Showing 2014 · stat.MLShow all
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stat.ML2014★ 42 cited
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…
stat.ML2014
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…