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Related Questions
- How does Bayesian optimization handle noise in the objective function for continuous variables?
- What are some common issues with exploring the entire joint space of continuous and discrete variables in Bayesian optimization?
- Can you discuss the challenges of specifying an acquisition function that balances exploration and exploitation for a mixture of continuous and discrete variables?
- How do you handle the curse of dimensionality when optimizing a large number of continuous variables along with discrete variables in Bayesian optimization?
- What are some strategies for identifying the optimal discretization for discrete variables in Bayesian optimization?
- How do you account for non-convexity and multi-modality in the search space when optimizing a combination of continuous and discrete variables using Bayesian optimization?
- Can you explain how to choose the right distribution for the discrete variables and how it affects the overall optimization process in Bayesian optimization?
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