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01/30/2020
Transport Gaussian Processes for Regression
Gaussian process (GP) priors are non-parametric generative models with a...
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06/23/2019
Compositionally-Warped Gaussian Processes
The Gaussian process (GP) is a nonparametric prior distribution over fun...
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05/28/2018
Bayesian Learning with Wasserstein Barycenters
In this work we introduce a novel paradigm for Bayesian learning based o...
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03/19/2018
Learning non-Gaussian Time Series using the Box-Cox Gaussian Process
Gaussian processes (GPs) are Bayesian nonparametric generative models th...
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07/19/2017