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Related Questions
- What are the key factors that influence the choice of iteration budget in Bayesian optimization?
- How does the number of iterations affect the balance between exploration and exploitation in Bayesian optimization?
- Can you provide examples of scenarios where a higher number of iterations leads to better results in Bayesian optimization?
- What are the potential drawbacks of increasing the number of iterations in Bayesian optimization?
- How does the number of iterations impact the computational resources required for Bayesian optimization?
- Can you explain the concept of 'early stopping' in Bayesian optimization and how it relates to the number of iterations?
- What are some strategies for adjusting the iteration budget in Bayesian optimization to achieve a better exploration-exploitation trade-off?
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