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Related Questions
- What is the difference between a surrogate model and a probabilistic model in Bayesian optimization?
- How do surrogate models incorporate uncertainty in their predictions during the optimization process?
- What types of surrogate models are commonly used in Bayesian optimization, such as Gaussian Processes or Neural Networks?
- How does the choice of surrogate model affect the overall performance of the Bayesian optimization algorithm?
- Can you explain the concept of 'uncertainty sampling' in Bayesian optimization and how surrogate models contribute to it?
- In what scenarios would you use a surrogate model with a high degree of uncertainty versus one with a lower degree of uncertainty?
- How do surrogate models handle multi-modal objective functions in Bayesian optimization?
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