2 papers
cs.LG2024
Analytical results for uncertainty propagation through trained machine learning regression models
Andrew Thompson
Machine learning (ML) models are increasingly being used in metrology applications. However, for ML models to be credible in a metrology context they should be accompanied by princ…
math.NA2018
Matrix rigidity and the ill-posedness of Robust PCA and matrix completion
Jared Tanner, Andrew Thompson, Simon Vary
Robust Principal Component Analysis (PCA) (Candes et al., 2011) and low-rank matrix completion (Recht et al., 2010) are extensions of PCA to allow for outliers and missing entries…