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2003.13607
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Non-asymptotic Superlinear Convergence of Standard Quasi-Newton Methods
Mathematical programming (Math. Program.), 2020
30 March 2020
Qiujiang Jin
Aryan Mokhtari
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Papers citing
"Non-asymptotic Superlinear Convergence of Standard Quasi-Newton Methods"
15 / 15 papers shown
Simple Stepsize for Quasi-Newton Methods with Global Convergence Guarantees
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Vladislav Ryspayev
Samuel Horváth
Alexander V. Gasnikov
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Slavomír Hanzely
115
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27 Aug 2025
Gradient Methods with Online Scaling Part I. Theoretical Foundations
Wenzhi Gao
Ya-Chi Chu
Yinyu Ye
Madeleine Udell
274
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29 May 2025
qNBO: quasi-Newton Meets Bilevel Optimization
International Conference on Learning Representations (ICLR), 2025
Sheng Fang
Yong Liu
Wei-Ting Yao
Chengming Yu
Jin Zhang
443
1
0
03 Feb 2025
Multiple Greedy Quasi-Newton Methods for Saddle Point Problems
Minheng Xiao
Shi Bo
615
6
0
01 Aug 2024
Distributed Adaptive Greedy Quasi-Newton Methods with Explicit Non-asymptotic Convergence Bounds
Yubo Du
Keyou You
231
7
0
30 Nov 2023
Limited-Memory Greedy Quasi-Newton Method with Non-asymptotic Superlinear Convergence Rate
Zhan Gao
Aryan Mokhtari
Alec Koppel
165
2
0
27 Jun 2023
Accelerated Quasi-Newton Proximal Extragradient: Faster Rate for Smooth Convex Optimization
Neural Information Processing Systems (NeurIPS), 2023
Ruichen Jiang
Aryan Mokhtari
135
12
0
03 Jun 2023
Sharpened Lazy Incremental Quasi-Newton Method
International Conference on Artificial Intelligence and Statistics (AISTATS), 2023
Aakash Lahoti
Spandan Senapati
K. Rajawat
Alec Koppel
343
2
0
26 May 2023
Faster Differentially Private Convex Optimization via Second-Order Methods
Neural Information Processing Systems (NeurIPS), 2023
Arun Ganesh
Mahdi Haghifam
Thomas Steinke
Abhradeep Thakurta
236
15
0
22 May 2023
Provably Convergent Plug-and-Play Quasi-Newton Methods
SIAM Journal of Imaging Sciences (JSIS), 2023
Hongwei Tan
Subhadip Mukherjee
Junqi Tang
Carola-Bibiane Schönlieb
315
27
0
09 Mar 2023
Online Learning Guided Curvature Approximation: A Quasi-Newton Method with Global Non-Asymptotic Superlinear Convergence
Annual Conference Computational Learning Theory (COLT), 2023
Ruichen Jiang
Qiujiang Jin
Aryan Mokhtari
242
20
0
16 Feb 2023
Hessian Averaging in Stochastic Newton Methods Achieves Superlinear Convergence
Mathematical programming (Math. Program.), 2022
Sen Na
Michal Derezinski
Michael W. Mahoney
331
22
0
20 Apr 2022
Quasi-Newton Methods for Saddle Point Problems and Beyond
Neural Information Processing Systems (NeurIPS), 2021
Chengchang Liu
Luo Luo
610
16
0
04 Nov 2021
Exploiting Local Convergence of Quasi-Newton Methods Globally: Adaptive Sample Size Approach
Neural Information Processing Systems (NeurIPS), 2021
Qiujiang Jin
Aryan Mokhtari
161
4
0
10 Jun 2021
Asynchronous Parallel Stochastic Quasi-Newton Methods
Parallel Computing (PC), 2020
Qianqian Tong
Guannan Liang
Xingyu Cai
Chunjiang Zhu
J. Bi
ODL
240
10
0
02 Nov 2020
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