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2002.09526
Cited By
Stochastic Subspace Cubic Newton Method
International Conference on Machine Learning (ICML), 2020
21 February 2020
Filip Hanzely
N. Doikov
Peter Richtárik
Y. Nesterov
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Papers citing
"Stochastic Subspace Cubic Newton Method"
20 / 20 papers shown
Simple Stepsize for Quasi-Newton Methods with Global Convergence Guarantees
A. Agafonov
Vladislav Ryspayev
Samuel Horváth
Alexander V. Gasnikov
Martin Takáč
Slavomír Hanzely
142
1
0
27 Aug 2025
Turbocharging Gaussian Process Inference with Approximate Sketch-and-Project
Pratik Rathore
Zachary Frangella
Sachin Garg
Shaghayegh Fazliani
Michał Dereziński
Madeleine Udell
435
3
0
19 May 2025
Improving Stochastic Cubic Newton with Momentum
International Conference on Artificial Intelligence and Statistics (AISTATS), 2024
El Mahdi Chayti
N. Doikov
Martin Jaggi
ODL
315
6
0
25 Oct 2024
Cubic regularized subspace Newton for non-convex optimization
Jim Zhao
Aurelien Lucchi
N. Doikov
355
7
0
24 Jun 2024
Recent and Upcoming Developments in Randomized Numerical Linear Algebra for Machine Learning
Michał Dereziński
Michael W. Mahoney
327
20
0
17 Jun 2024
Fine-grained Analysis and Faster Algorithms for Iteratively Solving Linear Systems
Michal Dereziñski
Daniel LeJeune
Deanna Needell
E. Rebrova
398
13
0
09 May 2024
Krylov Cubic Regularized Newton: A Subspace Second-Order Method with Dimension-Free Convergence Rate
Ruichen Jiang
Parameswaran Raman
Shoham Sabach
Aryan Mokhtari
Mingyi Hong
Volkan Cevher
267
4
0
05 Jan 2024
Towards a Better Theoretical Understanding of Independent Subnetwork Training
International Conference on Machine Learning (ICML), 2023
Egor Shulgin
Peter Richtárik
AI4CE
397
8
0
28 Jun 2023
Constrained Optimization via Exact Augmented Lagrangian and Randomized Iterative Sketching
International Conference on Machine Learning (ICML), 2023
Ilgee Hong
Sen Na
Michael W. Mahoney
Mladen Kolar
216
7
0
28 May 2023
Sketch-and-Project Meets Newton Method: Global
O
(
k
−
2
)
\mathcal O(k^{-2})
O
(
k
−
2
)
Convergence with Low-Rank Updates
Slavomír Hanzely
330
7
0
22 May 2023
Sharp Analysis of Sketch-and-Project Methods via a Connection to Randomized Singular Value Decomposition
SIAM Journal on Mathematics of Data Science (SIMODS), 2022
Michal Derezinski
E. Rebrova
348
26
0
20 Aug 2022
Super-Universal Regularized Newton Method
SIAM Journal on Optimization (SIAM J. Optim.), 2022
N. Doikov
Konstantin Mishchenko
Y. Nesterov
182
47
0
11 Aug 2022
Distributed Newton-Type Methods with Communication Compression and Bernoulli Aggregation
Rustem Islamov
Xun Qian
Slavomír Hanzely
M. Safaryan
Peter Richtárik
288
21
0
07 Jun 2022
Augmented Newton Method for Optimization: Global Linear Rate and Momentum Interpretation
M. Morshed
ODL
206
1
0
23 May 2022
Regularized Newton Method with Global
O
(
1
/
k
2
)
O(1/k^2)
O
(
1/
k
2
)
Convergence
Konstantin Mishchenko
387
53
0
03 Dec 2021
Finding Second-Order Stationary Points in Nonconvex-Strongly-Concave Minimax Optimization
Neural Information Processing Systems (NeurIPS), 2021
Luo Luo
Yujun Li
Cheng Chen
379
18
0
10 Oct 2021
Curvature-Aware Derivative-Free Optimization
Journal of Scientific Computing (J. Sci. Comput.), 2021
Bumsu Kim
HanQin Cai
Daniel McKenzie
W. Yin
ODL
384
14
0
27 Sep 2021
Global optimization using random embeddings
Mathematical programming (Math. Program.), 2021
C. Cartis
E. Massart
Adilet Otemissov
279
12
0
26 Jul 2021
Distributed Second Order Methods with Fast Rates and Compressed Communication
International Conference on Machine Learning (ICML), 2021
Rustem Islamov
Xun Qian
Peter Richtárik
243
56
0
14 Feb 2021
Optimization for Supervised Machine Learning: Randomized Algorithms for Data and Parameters
Filip Hanzely
232
0
0
26 Aug 2020
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