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Related Questions
- What are the key challenges in estimating noise or uncertainty in the objective function in Bayesian optimization?
- How do human-in-the-loop methods, such as active learning and human evaluation, contribute to estimating noise or uncertainty in Bayesian optimization?
- Can you explain the concept of 'noise' in Bayesian optimization and how it affects the objective function?
- How do human-in-the-loop methods interact with the Bayesian optimization process to estimate uncertainty in the objective function?
- What are some common techniques used in human-in-the-loop methods to estimate noise or uncertainty in Bayesian optimization?
- How can human-in-the-loop methods be used to adapt the Bayesian optimization process to changing objective functions or noisy data?
- What are the benefits and limitations of using human-in-the-loop methods to estimate noise or uncertainty in Bayesian optimization?
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