Bayesian Optimization: Why a Surrogate Model Plus an Acquisition Function Beats Grid Search
Bayesian Optimization: Why a Surrogate Model Plus an Acquisition Function Beats Grid Search Some functions are expensive to evaluate, and that changes everything about optimisation. Tuning a large model can take hours per configuration. Running a wet-lab experiment can take days. Testing a new allo…
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- 2026-10-30 23:12 · DEV Community — Machine Learning
Bayesian Optimization: Why a Surrogate Model Plus an Acquisition Function Beats Grid Search