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Related Questions
- How do Bayesian optimization and grid search compare in terms of convergence rates in high-dimensional hyperparameter spaces?
- Can you explain the theoretical differences in convergence rates between Bayesian optimization and grid search?
- How does the number of dimensions in the hyperparameter space affect the convergence rates of Bayesian optimization and grid search?
- What are some practical considerations for choosing between Bayesian optimization and grid search in high-dimensional hyperparameter spaces?
- Can you discuss the role of surrogate models in Bayesian optimization and their impact on convergence rates?
- How do Bayesian optimization and grid search perform in terms of convergence rates when dealing with noisy or expensive-to-evaluate objective functions?
- Are there any recent advances or techniques that can improve the convergence rates of Bayesian optimization in high-dimensional hyperparameter spaces?
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