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Related Questions
- What are the key differences between exploration and exploitation in Bayesian optimization, and how do they impact the search process for noisy objective functions?
- How do the trade-offs between exploration and exploitation affect the convergence rate and accuracy of Bayesian optimization algorithms?
- What are some common strategies for balancing exploration and exploitation in Bayesian optimization, and how do they handle noisy objective functions?
- Can you discuss the role of uncertainty estimation in Bayesian optimization and how it influences the trade-offs between exploration and exploitation?
- How do different acquisition functions, such as EI and PI, balance exploration and exploitation in Bayesian optimization, and what are their strengths and weaknesses?
- What are some real-world applications where the trade-offs between exploration and exploitation in Bayesian optimization are particularly important, and how are they addressed?
- Can you provide a comparison of different Bayesian optimization algorithms, such as GP-UCB and Thompson sampling, in terms of their exploration-exploitation trade-offs and performance on noisy objective functions?
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