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Related Questions
- What is the purpose of the acquisition function in Bayesian optimization?
- How does the acquisition function balance exploration and exploitation in Bayesian optimization?
- What are the key components of the acquisition function, such as expected improvement and probability of improvement?
- How does the acquisition function use the posterior distribution of the objective function to inform its decisions?
- What are some common acquisition functions used in Bayesian optimization, such as EI, PI, and UCB?
- How does the acquisition function handle high-dimensional search spaces in Bayesian optimization?
- What are some challenges and limitations of the acquisition function in Bayesian optimization, such as dealing with noisy objective functions?
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