Preferential optimization is a method for optimizing hyperparameters, focusing of human preferences, by determining which trial is superior when comparing a pair. It differs from human-in-the-loop ...

Hyperparameter optimisation is becoming increasingly complex due to the advancement of deep learning models. Existing tools often require static parameter search spaces, making them challenging for ...

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