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Related Questions
- How do the number of hyperparameters and possible values impact the computational cost of Bayesian optimization versus grid search?
- In what scenarios is grid search more suitable for large-scale optimization problems, despite its higher computational cost?
- Can you describe a situation where Bayesian optimization outperforms grid search in terms of efficiency, even with a large search space?
- What role does the choice of surrogate model play in reducing the computational cost of Bayesian optimization for large-scale optimization problems?
- Can you compare the convergence rate of Bayesian optimization and grid search for a specific example problem?
- What is the impact of prior knowledge on the performance of Bayesian optimization versus grid search in large-scale optimization?
- How do different initializations affect the search performance of Bayesian optimization and grid search for large-scale optimization problems?
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