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cs.LG2025
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…
cs.NE2025
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…
cs.NE2025
StarBASE-GP: Biologically-Guided Automated Machine Learning for Genotype-to-Phenotype Association Analysis
Jose Guadalupe Hernandez, Attri Ghosh, Philip J. Freda +3
We present the Star-Based Automated Single-locus and Epistasis analysis tool - Genetic Programming (StarBASE-GP), an automated framework for discovering meaningful genetic variants…