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Related Questions
- How do you handle noisy objective functions in Bayesian optimization?
- What are some techniques for efficiently sampling the search space in Bayesian optimization?
- What strategies can be employed to mitigate the impact of noise on the optimization process?
- Can you discuss the role of surrogate models in Bayesian optimization for noisy objective functions?
- How do you balance exploration and exploitation in Bayesian optimization when dealing with noisy objective functions?
- What are some common pitfalls to avoid when sampling the search space in Bayesian optimization with noisy objective functions?
- Can you elaborate on the use of expected improvement or probability of improvement as acquisition functions in Bayesian optimization for noisy objective functions?
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