Surrogate-based Autotuning for Randomized Sketching Algorithms in Regression Problems

Younghyun Cho, James W. Demmel, Michał Dereziński +4

Algorithms from Randomized Numerical Linear Algebra (RandNLA) are known to be effective in handling high-dimensional computational problems, providing high-quality empirical perfor…