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Related Questions
- When would you prefer using the Expected Improvement (EI) acquisition function over other acquisition functions in Bayesian optimization?
- What are some scenarios where EI is preferred over other acquisition functions like Probability of Improvement (PI) or Upper Confidence Bound (UCB)?
- Can you give an example of a situation where EI is more suitable than UCB for a specific optimization problem?
- How does EI handle the trade-off between exploration and exploitation compared to other acquisition functions?
- When would EI be a better choice than PI when dealing with expensive or noisy objective functions?
- Can you describe a scenario where EI's ability to balance exploration and exploitation makes it a better option than UCB?
- What are the key advantages of EI over other acquisition functions in terms of optimization performance?
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