Search Results for author: Mark Pullin

Found 2 papers, 2 papers with code

Deep Gaussian Processes for Multi-fidelity Modeling

1 code implementation18 Mar 2019 Kurt Cutajar, Mark Pullin, Andreas Damianou, Neil Lawrence, Javier González

Multi-fidelity methods are prominently used when cheaply-obtained, but possibly biased and noisy, observations must be effectively combined with limited or expensive true data in order to construct reliable models.

Bayesian Optimization Decision Making +2

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