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Related Questions
- What are the key differences between acquisition functions like Expected Improvement (EI) and Probability of Improvement (PI) in non-convex optimization problems?
- How does the choice of acquisition function impact the exploration-exploitation trade-off in Bayesian optimization for non-convex problems?
- Can you explain the concept of 'infill' and 'infidelity' in the context of acquisition functions and their role in non-convex optimization?
- How does the acquisition function influence the convergence rate in problems with multiple local optima?
- What are some common pitfalls to avoid when using acquisition functions in non-convex optimization, and how can they be mitigated?
- Can you discuss the relationship between acquisition function design and the curse of dimensionality in high-dimensional non-convex problems?
- How do acquisition functions like Thompson Sampling and Upper Confidence Bound (UCB) compare in terms of convergence rate and exploration-exploitation trade-off in non-convex problems?
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