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Blitzkriging: Kronecker-structured Stochastic Gaussian Processes
We present Blitzkriging, a new approach to fast inference for Gaussian processes, applicable to regression, optimisation and classification.
Variational Inference for Gaussian Process Modulated Poisson Processes
We present the first fully variational Bayesian inference scheme for continuous Gaussian-process-modulated Poisson processes.
Efficient Bayesian Nonparametric Modelling of Structured Point Processes
This paper presents a Bayesian generative model for dependent Cox point processes, alongside an efficient inference scheme which scales as if the point processes were modelled independently.
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