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Hessian Averaging in Stochastic Newton Methods Achieves Superlinear
  Convergence

Hessian Averaging in Stochastic Newton Methods Achieves Superlinear Convergence

20 April 2022
Sen Na
Michal Derezinski
Michael W. Mahoney
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Papers citing "Hessian Averaging in Stochastic Newton Methods Achieves Superlinear Convergence"

5 / 5 papers shown
Title
High Probability Complexity Bounds of Trust-Region Stochastic Sequential Quadratic Programming with Heavy-Tailed Noise
High Probability Complexity Bounds of Trust-Region Stochastic Sequential Quadratic Programming with Heavy-Tailed Noise
Yuchen Fang
Javad Lavaei
Katya Scheinberg
31
0
0
24 Mar 2025
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
Statistical Inference of Constrained Stochastic Optimization via Sketched Sequential Quadratic Programming
Statistical Inference of Constrained Stochastic Optimization via Sketched Sequential Quadratic Programming
Sen Na
Michael W. Mahoney
13
7
0
27 May 2022
Inequality Constrained Stochastic Nonlinear Optimization via Active-Set
  Sequential Quadratic Programming
Inequality Constrained Stochastic Nonlinear Optimization via Active-Set Sequential Quadratic Programming
Sen Na
M. Anitescu
Mladen Kolar
13
33
0
23 Sep 2021
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
29
26
0
15 Jul 2021
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