Theoretical Analysis of Bayesian Optimisation with Unknown Gaussian Process Hyper−Parameters
Bayesian optimisation has gained great popularity as a tool for optimising the parameters of machine learning algorithms and models. Somewhat ironically, setting up the hyper-parameters of Bayesian optimisation methods is notoriously hard. While reasonable practical solutions have been advanced, the...
| Հիմնական հեղինակներ: | , |
|---|---|
| Ձևաչափ: | Report |
| Հրապարակվել է: |
University of Oxford
2014
|