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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.
Automated Machine Learning on Big Data using Stochastic Algorithm Tuning
However, the state of the art in Bayesian optimisation is incapable of scaling to the large number of evaluations of algorithm performance required to fit realistic models to complex, big data.
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