Enhancing Performance and Calibration in Quantile Hyperparameter Optimization

Riccardo Doyle

Bayesian hyperparameter optimization relies heavily on Gaussian Process (GP) surrogates, due to robust distributional posteriors and strong performance on limited training samples.…