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Related Questions
- What are some common strategies used in Bayesian optimization to balance exploration and exploitation when the objective function is changing rapidly?
- How does the choice of acquisition function, such as Expected Improvement (EI) or Upper Confidence Bound (UCB), impact the balance between exploration and exploitation in rapidly changing environments?
- Can you discuss the role of hyperparameter tuning in adapting the acquisition function to changing objective functions?
- What are some techniques used to detect changes in the objective function and adjust the acquisition function accordingly?
- How does the use of ensemble methods, such as ensemble EI or ensemble UCB, help to balance exploration and exploitation in rapidly changing environments?
- Can you explain the concept of 'exploration-exploitation trade-off' and how it relates to the acquisition function in Bayesian optimization?
- What are some real-world applications where the acquisition function needs to balance exploration and exploitation in the presence of rapidly changing objective functions?
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