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Related Questions
- What is the purpose of infill sampling in Bayesian optimization?
- How does infill sampling differ from the traditional acquisition function-based approach in Bayesian optimization?
- Can you provide examples of infill sampling algorithms used in Bayesian optimization, such as EI (Expected Improvement) and PI (Probability of Improvement)?
- How does infill sampling balance exploration and exploitation in Bayesian optimization?
- What are some common challenges associated with implementing infill sampling in Bayesian optimization?
- How does infill sampling interact with other Bayesian optimization strategies, such as sequential decision-making and uncertainty estimation?
- Can you provide a high-level overview of the infill sampling algorithm, including its key components and steps?
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