A Framework for Bayesian Optimization in Embedded Subspaces

Amin Nayebi, Alexander Munteanu, Matthias Poloczek

Abstract: We present a theoretically founded approach for high-dimensional Bayesian optimization based on low-dimensional subspace embeddings. We prove that the error in the Gaussian process model is bounded...