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Related Questions
- Can you explain how to handle noisy objective functions in Bayesian optimization?
- How can prior knowledge be used to improve Bayesian optimization's performance in noisier environments?
- What are some popular methods for incorporating prior knowledge into Bayesian optimization?
- Can you discuss the trade-offs between incorporating more prior knowledge and over-smoothing the objective function?
- How can informative priors be used to handle situations where the optimization process converges to multiple local optima?
- Are there any scenario-specific methods for incorporating prior knowledge that are particularly suited to specific types of data?
- Can you provide guidance on how to tune hyperparameters when utilizing prior knowledge in Bayesian optimization?
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