7 citations · 8 across the 7 of their papers we have counts for
Showing 2025Show all
2 papers · 1 filter
cs.LG2025
Matrix-Free Least Squares Solvers: Values, Gradients, and What to Do With Them
Hrittik Roy, Søren Hauberg, Nicholas Krämer
This paper argues that the method of least squares has significant unfulfilled potential in modern machine learning, far beyond merely being a tool for fitting linear models. To re…
stat.ME2025
Numerically robust Gaussian state estimation with singular observation noise
Nicholas Krämer, Filip Tronarp
This article proposes numerically robust algorithms for Gaussian state estimation with singular observation noise. Our approach combines a series of basis changes with Bayes' rule,…