Showing 2026Show all
2 papers · 1 filter
stat.ML2026
Extrapolating from Regularised Solutions for Solving Ill-Conditioned Linear Systems in Machine Learning
Disha Hegde, Jon Cockayne, Chris. J. Oates
Rapid prototyping of algorithms is a critical step in modern machine learning. Most algorithms exploit linear algebra, creating a need for lightweight numerical routines which -- w…
stat.ML2026
Affine Tracing: A New Paradigm for Probabilistic Linear Solvers
Disha Hegde, Marvin Pförtner, Jon Cockayne
Probabilistic linear solvers (PLSs) return probability distributions that quantify uncertainty due to limited computation in the solution of linear systems. The literature has trad…