VirnyFlow: Optimizing ML Pipelines for Accuracy, Fairness, and Stability at Scale

Denys Herasymuk, Anastasiia Mozghova, Nazar Protsiv +2

Developing machine learning (ML) systems for real-world deployment requires navigating context-dependent trade-offs among accuracy, fairness, stability, and other objectives. Exist…