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Related Questions
- How do surrogate models improve the efficiency of Bayesian optimization for high-dimensional optimization problems?
- What are the key differences between surrogate models and traditional optimization methods in the context of Bayesian optimization?
- Can you explain the role of surrogate models in handling non-convex optimization problems using Bayesian optimization?
- How do surrogate models help in reducing the computational cost of Bayesian optimization?
- What are some common techniques used to create surrogate models for Bayesian optimization?
- How do surrogate models handle noisy or uncertain objective functions in Bayesian optimization?
- Can you discuss the trade-offs between the accuracy and computational cost of surrogate models in Bayesian optimization?
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