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Related Questions
- What are the key characteristics of acquisition functions in Bayesian optimization, and how do they influence the algorithm's efficiency?
- How does the choice of acquisition function affect the trade-off between exploration and exploitation in Bayesian optimization?
- Can you explain the differences between popular acquisition functions like EI, PI, and UCB, and how they impact computational efficiency?
- How does the acquisition function choice impact the number of function evaluations required to find the optimal solution in Bayesian optimization?
- What are some common pitfalls or misconceptions when selecting an acquisition function for Bayesian optimization, and how can they be avoided?
- How does the choice of acquisition function affect the convergence rate of Bayesian optimization, and what factors influence this rate?
- Can you discuss the relationship between the acquisition function and the underlying problem's properties, such as the objective function's shape or noise level?
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