most citedAn improved analysis and unified perspective on deterministic and randomized low rank matrix approximations

2 citations · 2 across the 1 of their papers we have counts for

collaborators

3 papers

math.NA2019★ 2 cited

An improved analysis and unified perspective on deterministic and randomized low rank matrix approximations

James Demmel, Laura Grigori, Alexander Rusciano

We introduce a Generalized LU-Factorization (\textbf{GLU}) for low-rank matrix approximation. We relate this to past approaches and extensively analyze its approximation properties…

math.NA2019

A Generalized Randomized Rank-Revealing Factorization

Grey Ballard, James Demmel, Ioana Dumitriu +1

We introduce a Generalized Randomized QR-decomposition that may be applied to arbitrary products of matrices and their inverses, without needing to explicitly compute the products…

math.MG2018

A Riemannian Corollary of Helly's Theorem

Alexander Rusciano

We introduce a notion of halfspace for Hadamard manifolds that is natural in the context of convex optimization. For this notion of halfspace, we generalize a classic result of Grü…