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Related Questions
- What are the key differences between popular acquisition functions in Bayesian optimization, such as Expected Improvement and Probability of Improvement?
- How does the choice of acquisition function affect the balance between exploring new regions of the search space and exploiting known promising areas?
- Can you explain the concept of 'infimum' in the context of acquisition functions and its impact on the trade-off between exploration and exploitation?
- How does the choice of acquisition function depend on the specific problem being optimized, such as the number of objectives and constraints?
- What are some common pitfalls to avoid when selecting an acquisition function, and how can they be mitigated?
- Can you discuss the role of the 'kernel' in Bayesian optimization and how it interacts with the acquisition function to affect the trade-off between exploration and exploitation?
- How does the choice of acquisition function impact the computational cost and efficiency of the Bayesian optimization process?
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