arXiv stat.ML
· Papers
Statistically Valid Hyperparameter Selection: From Tuning to Guarantees
arXiv:2606.25601v1 Announce Type: new Abstract: Hyperparameter selection is a critical step in the deployment of modern artificial intelligence systems, given the need to tune degrees of freedom such as inference-time parameters, implementation-level settings, and thresholds driving decision rules. Despite its practica