Multi-objective hyperparameter optimization with performance uncertainty
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This paper proposes a multi-objective hyperparameter optimization method that combines Tree-structured Parzen Estimators with Gaussian Process Regression to account for uncertainty in performance evaluations. Experiments on analytical test functions and ML problems demonstrate improved optimization results compared to using TPE or GPR alone.