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Related Questions
- How do you handle high-dimensional objective functions in Bayesian optimization where the acquisition function is expensive to evaluate?
- What are some strategies to reduce the number of objective function evaluations in Bayesian optimization when the iteration count is limited?
- Can you discuss the trade-off between exploration and exploitation in Bayesian optimization and how it affects the acquisition function?
- How does the choice of acquisition function impact the performance of Bayesian optimization for expensive objective functions?
- What are some techniques to accelerate Bayesian optimization when the objective function is computationally expensive and the iteration count is limited?
- Can you explain how to use surrogate models to speed up Bayesian optimization when the objective function is computationally expensive?
- How to balance the exploration and exploitation in Bayesian optimization when the acquisition function is expensive to evaluate and the iteration count is limited?
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