arxivcs.LGmath.OC2026-06-30
ALAS: Additive Learnable Alpha-Stable Kernels for Flexible Bayesian Optimization
Bayesian Optimization is widely used for expensive black-box optimization, yet its success often depends on choosing a kernel that matches the objective's unknown structure. In this work, we propose ALAS, a flexible Gaussian Process kernel family built from symmetric $α$-stable s…