arXiv stat.ML
· Papers
Global Sequential Testing for Multi-Stream Auditing
arXiv:2602.21479v3 Announce Type: replace Abstract: Across many risk-sensitive areas, it is critical to continuously audit machine learning systems as we receive more data to quickly determine if they are performing as designed. This auditing task can be modeled as a sequential hypothesis testing problem with $k$ data