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Related Questions
- What are the key differences between popular acquisition functions in Bayesian optimization, such as Expected Improvement and Probability of Improvement, and how do they impact performance for multi-objective problems?
- How does the choice of acquisition function affect the trade-off between exploration and exploitation in Bayesian optimization for multi-objective problems?
- Can you explain the role of the acquisition function in handling multiple objectives in Bayesian optimization, and how it influences the overall performance?
- What are the implications of using different acquisition functions on the Pareto front convergence and diversity in multi-objective Bayesian optimization?
- How does the acquisition function choice impact the computational efficiency of Bayesian optimization for multi-objective problems?
- Can you discuss the relationship between the acquisition function and the surrogate model in Bayesian optimization for multi-objective problems, and how it affects performance?
- What are some common pitfalls to avoid when selecting an acquisition function for multi-objective Bayesian optimization, and how can they be mitigated?
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