Tree-structured Parzen Estimators With Uncertainty For Hyperparameter Optimization Of Machine Learning Algorithms
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This work enhances Tree-structured Parzen Estimators (TPE) for hyperparameter optimization by incorporating uncertainty into the evaluation of configurations. The proposed strategy improves algorithm performance compared to standard TPE, which overlooks uncertainty in expected outcomes.