Preprints and Publications

2026

  1. Affine Tracing: A New Paradigm for Probabilistic Linear Solvers
    Disha Hegde, Marvin Pförtner, and Jon Cockayne
    2026
  2. Extrapolating from Regularised Solutions for Solving Ill-Conditioned Linear Systems in Machine Learning
    Disha Hegde, Jon Cockayne, and Chris J. Oates
    Transactions on Machine Learning Research (TMLR), 2026

2025

  1. Calibrated Computation-Aware Gaussian Processes
    Disha Hegde, Mohamed Adil, and Jon Cockayne
    The proceedings of the 28th International Conference on Artificial Intelligence and Statistics (AISTATS), 2025
  2. Learning to Solve Related Linear Systems
    Disha Hegde and Jon Cockayne
    The proceedings of the first International Conference on Probabilistic Numerics, 2025
  3. Randomised Postiterations for Calibrated BayesCG
    Niall Vyas, Disha Hegde, and Jon Cockayne
    The proceedings of the first International Conference on Probabilistic Numerics, 2025