Stealthy hyperuniform sampling for hyperparameter optimisation
Hyperparameter optimization is one example of a broad class of multivariate minimization problems with a complex landscape and often many local minima. As a result, gradient descent typically performs poorly, and easily parallelizable sampling methods are most commonly used, which often require the set of trial point...