Bayesian optimisation for automated machine learning
<p>In this thesis, we develop a rich family of efficient and performant Bayesian optimisation (BO) methods to tackle various AutoML tasks. We first introduce a fast information-theoretic BO method, FITBO, that overcomes the computation bottleneck of information-theoretic acquisition functions...
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Format: | Thesis |
Language: | English |
Published: |
2022
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