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Related Questions
- How do probabilistic models influence the acquisition function's ability to balance exploration and exploitation in Bayesian optimization?
- Can you explain the trade-off between exploration and exploitation in Bayesian optimization, and how probabilistic models play a role in this trade-off?
- How do probabilistic models, such as Gaussian processes or Bayesian neural networks, affect the acquisition function's exploration-exploitation balance in Bayesian optimization?
- What is the relationship between the uncertainty estimates provided by probabilistic models and the acquisition function's ability to balance exploration and exploitation?
- Can you discuss the impact of probabilistic models on the acquisition function's ability to adapt to changing objective landscapes in Bayesian optimization?
- How do probabilistic models, such as Monte Carlo Tree Search, influence the acquisition function's exploration-exploitation balance in Bayesian optimization?
- What are the implications of using probabilistic models in Bayesian optimization for the acquisition function's ability to balance exploration and exploitation in high-dimensional spaces?
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