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arXiv Machine Learning By Eliott Van Dieren, Tommaso Vanzan, Fabio Nobile

LAGO: A Local-Global Optimization Framework Combining Trust Region Methods and Bayesian Optimization

Read the original on arXiv Machine Learning →

arXiv:2603. 02970v2 Announce Type: replace Abstract: We introduce LAGO, a LocAl-Global Optimization framework coupling Bayesian Optimization (BO) and gradient-based trust region local refinement through an adaptive competition mechanism for smooth expensive-to-evaluate objective functions with available gradients.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv Machine Learning.

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