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cs.LG2025
FairSense: Long-Term Fairness Analysis of ML-Enabled Systems
Yining She, Sumon Biswas, Christian Kästner +1
Algorithmic fairness of machine learning (ML) models has raised significant concern in the recent years. Many testing, verification, and bias mitigation techniques have been propos…
cs.LG2020★ 3 cited
Understanding the Nature of System-Related Issues in Machine Learning Frameworks: An Exploratory Study
Yang Ren, Gregory Gay, Christian Kästner +1
Modern systems are built using development frameworks. These frameworks have a major impact on how the resulting system executes, how configurations are managed, how it is tested,…