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Related Questions
- What are the factors that influence the choice of surrogate model in Bayesian optimization?
- Can you explain the trade-offs between different types of surrogate models, such as Gaussian processes and random forests?
- How does the choice of surrogate model affect the exploration-exploitation trade-off in Bayesian optimization?
- What are the implications of using a simple surrogate model versus a complex one in Bayesian optimization?
- Can you discuss the role of surrogate model evaluation metrics, such as negative log-likelihood and R-squared, in assessing surrogate model performance?
- How does the choice of surrogate model interact with other hyperparameters in Bayesian optimization, such as acquisition function and batch size?
- What are the common pitfalls to avoid when selecting a surrogate model for Bayesian optimization, and how can they be addressed?
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