A Whirlwind tour of Gaussian process models and applications
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If you have a question about this talk, please contact Tudor Suciu.
In this talk I’m going to introduce a handful of interesting Gaussian Process (GP) models. We are going to extend the classic GP framework to deal with real-world problems, allowing us to model both complex inputs and outputs. We will finish by applying these models to the setting of Bayesian Optimisation.
This talk is part of the AI4ER Seminar Series series.
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