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cs.LG2024
AMUSE: Adaptive Model Updating using a Simulated Environment
Louis Chislett, Catalina A. Vallejos, Timothy I. Cannings +1
Prediction models frequently face the challenge of concept drift, in which the underlying data distribution changes over time, weakening performance. Examples can include models wh…
cs.LG2022★ 2 cited
GRAIMATTER Green Paper: Recommendations for disclosure control of trained Machine Learning (ML) models from Trusted Research Environments (TREs)
Emily Jefferson, James Liley, Maeve Malone +16
TREs are widely, and increasingly used to support statistical analysis of sensitive data across a range of sectors (e.g., health, police, tax and education) as they enable secure a…