117 citations · 407 across the 7 of their papers we have counts for
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stat.ML2012★ 68 cited
A Framework for Evaluating Approximation Methods for Gaussian Process Regression
Krzysztof Chalupka, Christopher K. I. Williams, Iain Murray
Gaussian process (GP) predictors are an important component of many Bayesian approaches to machine learning. However, even a straightforward implementation of Gaussian process regr…
stat.CO2012★ 11 cited
Driving Markov chain Monte Carlo with a dependent random stream
Iain Murray, Lloyd T. Elliott
Markov chain Monte Carlo is a widely-used technique for generating a dependent sequence of samples from complex distributions. Conventionally, these methods require a source of ind…