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Fine-grained Analysis and Faster Algorithms for Iteratively Solving
  Linear Systems

Fine-grained Analysis and Faster Algorithms for Iteratively Solving Linear Systems

9 May 2024
Michal Dereziñski
Daniel LeJeune
Deanna Needell
E. Rebrova
ArXivPDFHTML

Papers citing "Fine-grained Analysis and Faster Algorithms for Iteratively Solving Linear Systems"

5 / 5 papers shown
Title
Recent and Upcoming Developments in Randomized Numerical Linear Algebra
  for Machine Learning
Recent and Upcoming Developments in Randomized Numerical Linear Algebra for Machine Learning
Michał Dereziński
Michael W. Mahoney
25
5
0
17 Jun 2024
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
42
2
0
09 May 2024
Solving Dense Linear Systems Faster Than via Preconditioning
Solving Dense Linear Systems Faster Than via Preconditioning
Michal Dereziñski
Jiaming Yang
60
8
0
14 Dec 2023
Newton-LESS: Sparsification without Trade-offs for the Sketched Newton
  Update
Newton-LESS: Sparsification without Trade-offs for the Sketched Newton Update
Michal Derezinski
Jonathan Lacotte
Mert Pilanci
Michael W. Mahoney
37
26
0
15 Jul 2021
Determinantal point processes for machine learning
Determinantal point processes for machine learning
Alex Kulesza
B. Taskar
162
1,123
0
25 Jul 2012
1