Learning the subspace of variation for global optimization of functions with low effective dimension

Coralia Cartis, Xinzhu Liang, Estelle Massart +1

We propose an algorithmic framework, that employs active subspace techniques, for scalable global optimization of functions with low effective dimension (also referred to as low-ra…