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News/Inducing Permutation Invariant Priors in Bayesian Optimization for Carbon Capture and Storage Applications
arxiv
PublishedSeptember 7, 2026 at 4:00 AM
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Inducing Permutation Invariant Priors in Bayesian Optimization for Carbon Capture and Storage Applications

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arXiv:2605.02409v3 Announce Type: replace Abstract: Bayesian Optimization is an iterative method, tailored to optimizing expensive black box objective functions. Surrogate models like Gaussian Processes, which are the gold standard in Bayesian Optimization, can be inefficient for inputs with permuta

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