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Related Questions
- Can Bayesian optimization be used for hyperparameter tuning in machine learning models with high-dimensional search spaces?
- Does Bayesian optimization have an advantage over grid search when dealing with expensive function evaluations?
- How does the parallelization of Bayesian optimization compare to grid search in terms of computational speedup?
- Can Bayesian optimization be parallelized using multiple threads or processes?
- Does Bayesian optimization require any specific hardware configurations for efficient parallelization?
- Can Bayesian optimization be used for optimization tasks beyond hyperparameter tuning, such as neural architecture search?
- How does the choice of surrogate models in Bayesian optimization affect its parallelization efficiency?
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