43 citations · 91 across the 8 of their papers we have counts for
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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★ 43 cited
Probabilistic ODE Solvers with Runge-Kutta Means
Michael Schober, David Duvenaud, Philipp Hennig
Runge-Kutta methods are the classic family of solvers for ordinary differential equations (ODEs), and the basis for the state of the art. Like most numerical methods, they return p…