43 citations · 87 across the 3 of their papers we have counts for
3 papers
math.ST2016★ 2 cited
Contributed Discussion to Bayesian Solution Uncertainty Quantification for Differential Equations
William Weimin Yoo
We begin by introducing the main ideas of the paper under discussion, and we give a brief description of the method proposed. Next, we discuss an alternative approach based on B-sp…
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…