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Newton-LESS: Sparsification without Trade-offs for the Sketched Newton
  Update

Newton-LESS: Sparsification without Trade-offs for the Sketched Newton Update

15 July 2021
Michal Derezinski
Jonathan Lacotte
Mert Pilanci
Michael W. Mahoney
ArXivPDFHTML

Papers citing "Newton-LESS: Sparsification without Trade-offs for the Sketched Newton Update"

4 / 4 papers shown
Title
Surrogate-based Autotuning for Randomized Sketching Algorithms in Regression Problems
Surrogate-based Autotuning for Randomized Sketching Algorithms in Regression Problems
Younghyun Cho
James Demmel
Michal Derezinski
Haoyun Li
Hengrui Luo
Michael W. Mahoney
Riley Murray
20
4
0
30 Aug 2023
Sharp Analysis of Sketch-and-Project Methods via a Connection to
  Randomized Singular Value Decomposition
Sharp Analysis of Sketch-and-Project Methods via a Connection to Randomized Singular Value Decomposition
Michal Derezinski
E. Rebrova
20
16
0
20 Aug 2022
Stochastic Variance-Reduced Newton: Accelerating Finite-Sum Minimization with Large Batches
Stochastic Variance-Reduced Newton: Accelerating Finite-Sum Minimization with Large Batches
Michal Derezinski
34
5
0
06 Jun 2022
Training Multi-Layer Over-Parametrized Neural Network in Subquadratic
  Time
Training Multi-Layer Over-Parametrized Neural Network in Subquadratic Time
Zhao-quan Song
Licheng Zhang
Ruizhe Zhang
23
63
0
14 Dec 2021
1