Multi-objective machine training based on Bayesian hyperparameter tuning

Author:

Zufiria Pedro J.1,Borrajo Carlos2,Taibo Miguel2

Affiliation:

1. ETSI Telecomunicación, Universidad Politécnica de Madrid,Inform. Processing and Telecom. Center (IPTC),Dep. Matemática Aplicada a las TIC,Madrid,Spain

2. ETSI Telecomunicación, Universidad Politécnica de Madrid,Dep. Matemática Aplicada a las TIC,Madrid,Spain

Publisher

IEEE

Reference34 articles.

1. Grid search, random search, genetic algorithm: a big comparison for nas;liashchynskyi;ar Xiv preprint,2019

2. Random search and reproducibility for neural architecture search;li;Uncertainty in Artificial Intelligence,2020

3. Mixed variable bayesian optimization with frequency modulated kernels;oh;Uncertainty in Artificial Intelligence,2021

4. Taking the Human Out of the Loop: A Review of Bayesian Optimization

5. Practical bayesian optimization of machine learning algorithms;snoek;Advances in neural information processing systems,2012

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1. Multicriteria Model-Agnostic Counterfactual Explainability for Classifiers;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30

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