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Related Questions
- How does the balance between exploration and exploitation impact the convergence rate of Bayesian optimization algorithms?
- What are the implications of over-exploration on the scalability of Bayesian optimization for high-dimensional search spaces?
- Can you provide examples of real-world applications where over-exploitation leads to suboptimal solutions in Bayesian optimization?
- How does the choice of acquisition function influence the trade-off between exploration and exploitation in Bayesian optimization?
- What are the effects of over-exploration on the interpretability of Bayesian optimization results, and how can they be mitigated?
- Can you discuss the relationship between over-exploitation and the curse of dimensionality in Bayesian optimization?
- How can practitioners use techniques like Bayesian linear regression to balance exploration and exploitation in Bayesian optimization?
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