148 citations · 316 across the 12 of their papers we have counts for
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math.NA2018★ 148 cited
Generalized Canonical Polyadic Tensor Decomposition
David Hong, Tamara G. Kolda, Jed A. Duersch
Tensor decomposition is a fundamental unsupervised machine learning method in data science, with applications including network analysis and sensor data processing. This work devel…
math.NA2017★ 61 cited
A robust and efficient implementation of LOBPCG
Jed A. Duersch, Meiyue Shao, Chao Yang +1
Locally Optimal Block Preconditioned Conjugate Gradient (LOBPCG) is widely used to compute eigenvalues of large sparse symmetric matrices. The algorithm can suffer from numerical i…
math.NA2015★ 100 cited
Randomized QR with Column Pivoting
Jed A. Duersch, Ming Gu
The dominant contribution to communication complexity in factorizing a matrix using QR with column pivoting is due to column-norm updates that are required to process pivot decisio…