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Near-Optimal Algorithms for Linear Algebra in the Current Matrix
  Multiplication Time
v1v2 (latest)

Near-Optimal Algorithms for Linear Algebra in the Current Matrix Multiplication Time

16 July 2021
Nadiia Chepurko
K. Clarkson
Praneeth Kacham
David P. Woodruff
ArXiv (abs)PDFHTML

Papers citing "Near-Optimal Algorithms for Linear Algebra in the Current Matrix Multiplication Time"

4 / 4 papers shown
Title
Faster Linear Systems and Matrix Norm Approximation via Multi-level Sketched Preconditioning
Faster Linear Systems and Matrix Norm Approximation via Multi-level Sketched Preconditioning
Michal Dereziñski
Christopher Musco
Jiaming Yang
121
2
0
09 May 2024
Distributed Least Squares in Small Space via Sketching and Bias
  Reduction
Distributed Least Squares in Small Space via Sketching and Bias Reduction
Sachin Garg
Kevin Tan
Michal Dereziñski
74
1
0
08 May 2024
Optimal Embedding Dimension for Sparse Subspace Embeddings
Optimal Embedding Dimension for Sparse Subspace Embeddings
Shabarish Chenakkod
Michal Dereziñski
Xiaoyu Dong
M. Rudelson
107
14
0
17 Nov 2023
Quantum-Inspired Algorithms from Randomized Numerical Linear Algebra
Quantum-Inspired Algorithms from Randomized Numerical Linear Algebra
Nadiia Chepurko
K. Clarkson
L. Horesh
Honghao Lin
David P. Woodruff
60
24
0
09 Nov 2020
1