arxiv
PublishedJune 1, 2026 at 4:00 AM
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Cost-aware Stopping for Bayesian Optimization
Publisher summary· verbatim
arXiv:2507.12453v5 Announce Type: replace Abstract: In automated machine learning, scientific discovery, and other applications of Bayesian optimization, deciding when to stop evaluating expensive black-box functions in a cost-aware manner is an important but underexplored practical consideration. A
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Originally published on arxiv ↗