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Related Questions
- How do acquisition functions balance exploration and exploitation in Bayesian optimization?
- Can you explain the relationship between epistemic uncertainty and the choice of acquisition function in Bayesian optimization?
- How do acquisition functions, such as Expected Improvement and Probability of Improvement, handle uncertainty in the objective function?
- What is the impact of using a probabilistic acquisition function on the convergence of Bayesian optimization?
- How do acquisition functions account for the trade-off between exploration and exploitation in the presence of epistemic uncertainty?
- Can you describe the role of acquisition functions in adapting to changing epistemic uncertainty during Bayesian optimization?
- How do acquisition functions, such as Thompson sampling, incorporate epistemic uncertainty into the optimization process?
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