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Related Questions
- What are the common techniques used in Bayesian optimization to handle discrete variables?
- How does the choice of acquisition function impact the trade-off between exploration and exploitation in Bayesian optimization?
- Can you explain the concept of 'exploration-exploitation trade-off' in the context of Bayesian optimization?
- What are the advantages and disadvantages of using a probabilistic model to handle discrete variables in Bayesian optimization?
- How does Bayesian optimization handle the issue of 'curse of dimensionality' when dealing with high-dimensional discrete spaces?
- What is the role of 'elicitation' in Bayesian optimization, especially when dealing with discrete variables?
- Can you discuss the relationship between Bayesian optimization and other optimization techniques, such as grid search and random search?
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