Machine Learning
Bayesian Optimization
Machine Learning· Advanced
Definition
A sequential model-based approach to optimizing expensive black-box functions — widely used for hyperparameter tuning. Builds a probabilistic surrogate model of the objective, uses it to select the most promising next evaluation point, and updates the model with each result. Far more efficient than grid search.
Tags
#hyperparameter#optimization#probabilistic#tuning
MS
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