Investigating Combined Algorithm Selection and Hyperparameter Optimization for Fairness

Created by W.Langdon from gp-bibliography.bib Revision:1.8506

@InProceedings{chen:2025:GECCOcomp,

• author = "Zhiang Chen and Mark Connor and Sudarshan Pant and Michael O'Neill",
• title = "Investigating Combined Algorithm Selection and Hyperparameter Optimization for Fairness",
• booktitle = "Proceedings of the 2025 Genetic and Evolutionary Computation Conference Companion",
• year = "2025",
• editor = "Ryan Urbanowicz and Will N. Browne",
• pages = "255--258",
• address = "Malaga, Spain",
• series = "GECCO '25 Companion",
• month = "14-18 " # jul,
• organisation = "SIGEVO",
• publisher = "Association for Computing Machinery",
• publisher_address = "New York, NY, USA",
• keywords = "genetic algorithms, genetic programming, grammatical evolution, AutoML, algorithmic fairness, multi-objective optimization, Evolutionary Machine Learning: Poster",
• isbn13 = "979-8-4007-1464-1",
• URL = "https://doi.org/10.1145/3712255.3726608",
• DOI = "doi:10.1145/3712255.3726608",
• size = "4 pages",
• abstract = "As machine learning algorithms are increasingly employed for critical decision-making, ensuring algorithmic fairness has become imperative. Fairness-aware Automated Machine Learning has emerged as a flexible and effective method for enhancing both model accuracy and fairness. However, most existing studies focus on hyperparameter optimization for a single model. In this study, we frame the problem as a multi-objective Combined Algorithm Selection and Hyperparameter Optimization (CASH) problem, aiming to jointly optimize both accuracy and fairness across a diverse set of machine learning algorithms and their corresponding hyperparameters. To address this challenge, we apply Multi-Objective Grammatical Evolution (MOGE). The results demonstrate that MOGE not only effectively identifies models that achieve higher fairness and accuracy, while also exploring the trade-offs between accuracy and fairness efficiently.",
• notes = "GECCO-2025 EML A Recombination of the 34th International Conference on Genetic Algorithms (ICGA) and the 30th Annual Genetic Programming Conference (GP)",

}

Genetic Programming entries for Zhiang Chen Mark Connor Sudarshan Pant Michael O'Neill

Citations