ALAS: Additive Learnable Alpha-Stable Kernels for flexible Bayesian optimization
Read the original at arxiv.org→arXiv:2607.18282v1 Announce Type: new Abstract: 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...
Original headline: "ALAS: Additive Learnable Alpha-Stable Kernels for Flexible Bayesian Optimization"