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Removed Oates et al 2017, as not relevant #482

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25 changes: 0 additions & 25 deletions docs/source/research/bibliography/Quadrature.bib
Original file line number Diff line number Diff line change
Expand Up @@ -259,31 +259,6 @@ @InProceedings{gunter14-fast-bayesian-quadrature
code = {https://github.com/OxfordML/wsabi}
}


@Article{oates14-contr-monte-carlo,
author = {Chris J. Oates and Mark Girolami and Nicolas Chopin},
title = {Control functionals for Monte Carlo integration},
journal = {arXiv preprint 1410.2392},
year = 2014,
abstract = {This paper introduces a novel class of estimators for Monte
Carlo integration, that leverage gradient information in
order to provide the improved estimator performance demanded
by contemporary statistical applications. The proposed
estimators, called "control functionals", achieve sub-root-n
convergence and often require orders of magnitude fewer
simulations, compared with existing approaches, in order to
achieve a fixed level of precision. We focus on a particular
sub-class of estimators that permit an elegant analytic form
and study their properties, both theoretically and
empirically. Results are presented on Bayes-Hermite
quadrature, hierarchical Gaussian process models and
non-linear ordinary differential equation models, where in
each case our estimators are shown to offer state of the art
performance.},
link = {http://www2.warwick.ac.uk/fac/sci/statistics/staff/academic-research/oates/control_functionals},
file = {http://arxiv.org/pdf/1410.2392v1}
}

@ARTICLE{2015arXiv150405994S,
author = {{S{\"a}rkk{\"a}}, S. and {Hartikainen}, J. and {Svensson}, L. and
{Sandblom}, F.},
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