27 citations · 46 across the 6 of their papers we have counts for
Showing 2018Show all
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stat.ML2018★ 1 cited
Batch Selection for Parallelisation of Bayesian Quadrature
Ed Wagstaff, Saad Hamid, Michael Osborne
Integration over non-negative integrands is a central problem in machine learning (e.g. for model averaging, (hyper-)parameter marginalisation, and computing posterior predictive d…
cs.LG2018★ 2 cited
VBALD - Variational Bayesian Approximation of Log Determinants
Diego Granziol, Edward Wagstaff, Bin Xin Ru +2
Evaluating the log determinant of a positive definite matrix is ubiquitous in machine learning. Applications thereof range from Gaussian processes, minimum-volume ellipsoids, metri…