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Related Questions
- What are some common techniques used to adapt Bayesian optimization for expensive objective functions?
- How can the iteration count limit be addressed in Bayesian optimization to handle expensive objective functions?
- What strategies can be employed to balance exploration and exploitation in Bayesian optimization when iteration count is limited?
- How can the use of surrogate models be optimized to reduce the number of evaluations of the expensive objective function?
- What are some ways to adapt the acquisition function in Bayesian optimization to handle expensive objective functions and limited iteration counts?
- Can you discuss the role of hyperparameter tuning in Bayesian optimization for expensive objective functions and limited iteration counts?
- What are some methods for using prior knowledge or domain-specific information to improve the efficiency of Bayesian optimization for expensive objective functions?
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