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Related Questions
- What are the common challenges faced by the acquisition function in Bayesian optimization, especially when dealing with noisy objective functions?
- How does the acquisition function handle noisy and uncertain objective functions in the context of Bayesian optimization?
- What are some limitations of the acquisition function in Bayesian optimization, and how can they be addressed?
- How does the acquisition function balance exploration and exploitation in the presence of noisy objective functions?
- What are some techniques used to improve the robustness of the acquisition function in Bayesian optimization, such as regularization or ensemble methods?
- Can the acquisition function be adapted to handle non-stationary objective functions, and if so, what are the key considerations?
- How does the acquisition function integrate with other components of Bayesian optimization, such as the surrogate model and the search space?
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