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Towards Practical Large-scale Randomized Iterative Least Squares Solvers through Uncertainty Quantification

Pritchard, N Patel, V (09 Aug 2022) https://arxiv.org/abs/2208.04989v3

Scientific Applications Leveraging Randomized Linear Algebra

Patel, V Maldonado, D Melnichenko, M Pritchard, N Rao, V Rebrova, E Sankararaman, S Schweitzer, M (19 Jun 2025) https://arxiv.org/abs/2506.16457v2

IterativeCUR: Large Rank-Adaptive Approximation From a Small Recycled Sketch

Pritchard, N Park, T Nakatsukasa, Y Martinsson, P (26 Sep 2025) https://arxiv.org/abs/2509.21963v2

Efficient error estimators for Generalized Nyström

Lazzarino, L Pearce, K Pritchard, N (16 Jan 2026) https://arxiv.org/abs/2601.11493v1

Blind error estimation for CUR approximation

Lazzarino, L Pearce, K Pritchard, N (20 Sep 2026) https://arxiv.org/abs/2609.23810v1

Solving, Tracking and Stopping Streaming Linear Inverse Problems

Pritchard, N Patel, V (15 Jan 2022) https://arxiv.org/abs/2201.05741v3

Monte Carlo stochastic Galerkin methods for non-Maxwellian kinetic models of multiagent systems with uncertainties

Medaglia, A Tosin, A Zanella, M (31 Jan 2022) https://arxiv.org/abs/2202.00062v2

Stochastic Galerkin particle methods for kinetic equations of plasmas with uncertainties

Medaglia, A Pareschi, L Zanella, M (01 Aug 2022) https://arxiv.org/abs/2208.00692v2

On the optimal control of kinetic epidemic models with uncertain social features

Franceschi, J Medaglia, A Zanella, M (17 Oct 2022) https://arxiv.org/abs/2210.09201v3

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