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math.NA2026
Error Analysis and Precision Selection for Mixed-Precision DEIM-CUR Decompositions
Ioannis Thanasis, Erin Carson
CUR approximation is a popular approach for constructing an interpretable low-rank approximation of a matrix. There are many approaches for constructing the CUR approximation, many…
cs.LG2026
Estimating Condition Number with Graph Neural Networks
Erin Carson, Xinye Chen
In this paper, we propose a fast method for estimating the condition number of sparse matrices using graph neural networks (GNNs). For efficient deployment of GNNs, we introduce a…
cs.LG2026
Precision autotuning for linear solvers via contextual bandit-based RL
Erin Carson, Xinye Chen
We propose a reinforcement learning (RL) framework for \xy{responsive} precision tuning for linear solvers, which can be extended to general algorithms. The framework is formulated…