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Related Questions
- How does random search compare to Bayesian optimization in terms of handling the exploration-exploitation trade-off?
- Can you explain the concept of 'intrinsic dimensionality' and its impact on random search in high-dimensional spaces?
- How does the choice of acquisition function in Bayesian optimization affect the exploration-exploitation trade-off?
- What are some common strategies for adapting random search to high-dimensional spaces, such as using dimensionality reduction techniques?
- Can you discuss the role of hyperparameter tuning in random search and how it relates to the exploration-exploitation trade-off?
- How does the number of iterations in random search affect the balance between exploration and exploitation?
- Can you compare the performance of random search with other optimization algorithms, such as gradient-based methods, in high-dimensional spaces?
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