A warped kernel improving robustness in Bayesian optimization via random embeddings

Mickaël Binois, David Ginsbourger, Olivier Roustant

This works extends the Random Embedding Bayesian Optimization approach by integrating a warping of the high dimensional subspace within the covariance kernel. The proposed warping,…