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News/ALAS: Additive Learnable Alpha-Stable Kernels for Flexible Bayesian Optimization
arxiv
PublishedJuly 22, 2026 at 4:00 AM

ALAS: Additive Learnable Alpha-Stable Kernels for Flexible Bayesian Optimization

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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 structure. In this work, we propose ALAS, a flexible Gaussian Process kernel family built

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