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Related Questions
- What are the key differences between popular acquisition functions in Bayesian optimization, such as Expected Improvement (EI) and Probability of Improvement (PI)?
- How does the choice of acquisition function impact the exploration-exploitation trade-off in Bayesian optimization?
- Can you explain the concept of epistemic uncertainty in Bayesian optimization and how it relates to the choice of acquisition function?
- How does the acquisition function influence the convergence rate of Bayesian optimization, and what are the implications for hyperparameter tuning?
- What are some common pitfalls to avoid when selecting an acquisition function for Bayesian optimization, and how can they be mitigated?
- Can you discuss the relationship between the acquisition function and the underlying probability model in Bayesian optimization, and how they interact to affect convergence?
- How does the choice of acquisition function impact the scalability of Bayesian optimization, particularly in high-dimensional search spaces?
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