I am Nathaniel Pritchard, a Post Doctoral Research associate at the University of Oxford. I am interested in Randomized Linear Algebra especially with respect to statistical techniques such as linear regression and Generalized Linear Models.

Recent Papers

1. Lazzarino, L., Pearce, K., & Pritchard, N. (2026). Efficient error estimators for Generalized Nyström. arXiv preprint arXiv:2601.11493.
   [preprint] [more info]
2. Pritchard, N., Park, T., Nakasukasa, Y., & Martinsson, G. (2025). Fast Rank Adaptive CUR via a Recycled Small Sketch. arXiv preprint arXiv:2509.21963.
   [preprint] [more info]
3. Patel, V., Maldonado, D. A., Melnichenko, M., Pritchard, N., Rao, V., Rebrova, E., & Sankararaman, S. (2025). Scientific Applications Leveraging Randomized Linear Algebra. arXiv preprint arXiv:2506.16457.
   [preprint] [more info]
4. Pritchard, N., & Patel, V. (2024). "Solving, tracking and stopping streaming linear inverse problems" Inverse Problems.
   [paper] [preprint] [more info]
5. Pritchard, N., & Patel, V. (2023). Towards Practical Large-Scale Randomized Iterative Least Squares Solvers through Uncertainty Quantification. SIAM/ASA Journal on Uncertainty Quantification, 11(3), 996-1024.
   [paper] [preprint] [more info]