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06/20/2022
Additive Gaussian Processes Revisited
Gaussian Process (GP) models are a class of flexible non-parametric mode...
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03/11/2021
The Minecraft Kernel: Modelling correlated Gaussian Processes in the Fourier domain
In the univariate setting, using the kernel spectral representation is a...
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05/30/2019
Enriched Mixtures of Gaussian Process Experts
Mixtures of experts probabilistically divide the input space into region...
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05/16/2019
Adaptive Sensor Placement for Continuous Spaces
We consider the problem of adaptively placing sensors along an interval ...
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07/24/2018
Decision Variance in Online Learning
Online learning has classically focused on the expected behaviour of lea...
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10/27/2016
GPflow: A Gaussian process library using TensorFlow
GPflow is a Gaussian process library that uses TensorFlow for its core c...
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11/04/2014
