A framework using Shapley Effects and Pareto fronts ranks hyperparameter influence per objective from a coarse grid-search lookup table, without proposing a new optimizer.
Explainable Machine Learning for Efficient Diabetes Prediction Using Hyperparame- ter Tuning, SHAP Analysis, Partial Dependency, and LIME,
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Which Hyperparameters Matter? A Game-Theoretic Framework for Interpretable Hyperparameter Sensitivity Analysis
A framework using Shapley Effects and Pareto fronts ranks hyperparameter influence per objective from a coarse grid-search lookup table, without proposing a new optimizer.