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Related Questions
- How do Bayesian optimization methods like GP-Hedge and Thompson sampling adapt to changing objective function landscapes?
- Can you explain the concept of exploitation-exploration trade-off in Bayesian optimization and how it relates to the choice of acquisition function?
- In the context of noisy objective functions, how do random search methods like Random Search or Bayesian Optimization with Random Search handle the exploration-exploitation trade-off?
- What are the key differences between Bayesian optimization and random search in terms of handling noisy objective functions and exploration-exploitation trade-off?
- Can you discuss the role of hyperparameters in Bayesian optimization and random search in balancing exploration and exploitation in the presence of noisy objective functions?
- How do Bayesian optimization and random search perform on objective functions with non-convex or non-differentiable regions, and how do they handle exploration-exploitation trade-off in such cases?
- What are some strategies for handling noisy objective functions in Bayesian optimization and random search, and how do they impact the exploration-exploitation trade-off?
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