Wei-Ting Tang

Isotropic Gaussian Processes Improve Vanilla Bayesian Optimization in High Dimensions

High-dimensional Bayesian optimization (BO) often fits Gaussian process (GP) surrogates from far fewer observations than input dimensions. Modern Vanilla BO can perform well in this regime with dimension-aware priors, initialization, and acquisition optimization, but it typically retains automatic relevance determinati...