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Related Questions
- What are some common assumptions made in Bayesian optimization that may not hold in certain scenarios?
- How do surrogate models used in Bayesian optimization handle complex, high-dimensional search spaces?
- Can you explain the concept of 'optimism' in Bayesian optimization and how it relates to surrogate model uncertainty?
- How do different surrogate model architectures (e.g., neural networks, Gaussian processes) impact the performance of Bayesian optimization?
- What are some common surrogate model selection methods used in Bayesian optimization, and what are their strengths and weaknesses?
- Can you discuss the role of exploration-exploitation trade-offs in Bayesian optimization with surrogate models?
- How do surrogate models handle multi-objective optimization problems, and what techniques are used to address conflicting objectives?
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