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Related Questions
- How does the number of initial evaluations impact the trade-off between exploration and exploitation in Bayesian optimization?
- Can you explain how the choice of sample size influences the estimation of the underlying probability distribution in Bayesian optimization?
- How does the convergence rate of Bayesian optimization change when the sample size is increased or decreased?
- What are the computational implications of increasing the sample size in Bayesian optimization, and how does it impact the overall algorithm's efficiency?
- How does the sample size affect the accuracy of the predicted models in Bayesian optimization, and what are the implications for the search process?
- Can you discuss the relationship between sample size and the uncertainty in the estimated probability distribution in Bayesian optimization?
- What are the potential downsides of increasing the sample size in Bayesian optimization, and how can they be mitigated?
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