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Mixed-Output Gaussian Process Latent Variable Models
Our framework allows the use of a range of priors for the weights of each observation.
Practical Path-based Bayesian Optimization
There has been a surge in interest in data-driven experimental design with applications to chemical engineering and drug manufacturing.
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