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Stochastic Subspace Cubic Newton Method

Stochastic Subspace Cubic Newton Method

21 February 2020
Filip Hanzely
N. Doikov
Peter Richtárik
Y. Nesterov
ArXiv (abs)PDFHTML

Papers citing "Stochastic Subspace Cubic Newton Method"

12 / 12 papers shown
Title
Improving Stochastic Cubic Newton with Momentum
Improving Stochastic Cubic Newton with Momentum
El Mahdi Chayti
N. Doikov
Martin Jaggi
ODL
46
0
0
25 Oct 2024
Cubic regularized subspace Newton for non-convex optimization
Cubic regularized subspace Newton for non-convex optimization
Jim Zhao
Aurelien Lucchi
N. Doikov
76
6
0
24 Jun 2024
Fine-grained Analysis and Faster Algorithms for Iteratively Solving Linear Systems
Fine-grained Analysis and Faster Algorithms for Iteratively Solving Linear Systems
Michal Dereziñski
Daniel LeJeune
Deanna Needell
E. Rebrova
84
4
0
09 May 2024
Constrained Optimization via Exact Augmented Lagrangian and Randomized
  Iterative Sketching
Constrained Optimization via Exact Augmented Lagrangian and Randomized Iterative Sketching
Ilgee Hong
Sen Na
Michael W. Mahoney
Mladen Kolar
53
5
0
28 May 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
74
19
0
20 Aug 2022
Super-Universal Regularized Newton Method
Super-Universal Regularized Newton Method
N. Doikov
Konstantin Mishchenko
Y. Nesterov
51
32
0
11 Aug 2022
Distributed Newton-Type Methods with Communication Compression and
  Bernoulli Aggregation
Distributed Newton-Type Methods with Communication Compression and Bernoulli Aggregation
Rustem Islamov
Xun Qian
Slavomír Hanzely
M. Safaryan
Peter Richtárik
79
16
0
07 Jun 2022
Augmented Newton Method for Optimization: Global Linear Rate and
  Momentum Interpretation
Augmented Newton Method for Optimization: Global Linear Rate and Momentum Interpretation
M. Morshed
ODL
57
1
0
23 May 2022
Regularized Newton Method with Global $O(1/k^2)$ Convergence
Regularized Newton Method with Global O(1/k2)O(1/k^2)O(1/k2) Convergence
Konstantin Mishchenko
67
41
0
03 Dec 2021
Curvature-Aware Derivative-Free Optimization
Curvature-Aware Derivative-Free Optimization
Bumsu Kim
HanQin Cai
Daniel McKenzie
W. Yin
ODL
111
12
0
27 Sep 2021
Distributed Second Order Methods with Fast Rates and Compressed
  Communication
Distributed Second Order Methods with Fast Rates and Compressed Communication
Rustem Islamov
Xun Qian
Peter Richtárik
86
51
0
14 Feb 2021
Optimization for Supervised Machine Learning: Randomized Algorithms for
  Data and Parameters
Optimization for Supervised Machine Learning: Randomized Algorithms for Data and Parameters
Filip Hanzely
77
0
0
26 Aug 2020
1