5 papers
Automating Parent Selection Configuration in Genetic Programming with Agentic AI
Jose Guadalupe Hernandez, Jui-Hsuan Chang, Anil Kumar Saini +2
We investigate whether agentic artificial intelligence can automate parts of the process of designing genetic programming systems by introducing an agentic framework that identifie…
Evolved Sample Weights for Bias Mitigation: Effectiveness Depends on the Fairness Objective
Anil K. Saini, Jose Guadalupe Hernandez, Emily F. Wong +3
Machine learning models trained on real-world data may inadvertently make biased predictions that negatively impact marginalized communities. Reweighting, which assigns a weight to…
GP and LLMs for Program Synthesis: No Clear Winners
Jose Guadalupe Hernandez, Anil Kumar Saini, Gabriel Ketron +1
Genetic programming (GP) and large language models (LLMs) differ in how program specifications are provided: GP uses input-output examples, and LLMs use text descriptions. In this…
Lexicase Selection Parameter Analysis: Varying Population Size and Test Case Redundancy with Diagnostic Metrics
Jose Guadalupe Hernandez, Anil Kumar Saini, Jason H. Moore
Lexicase selection is a successful parent selection method in genetic programming that has outperformed other methods across multiple benchmark suites. Unlike other selection metho…
Lexidate: Model Evaluation and Selection with Lexicase
Jose Guadalupe Hernandez, Anil Kumar Saini, Jason H. Moore
Automated machine learning streamlines the task of finding effective machine learning pipelines by automating model training, evaluation, and selection. Traditional evaluation stra…