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Practical Inexact Proximal Quasi-Newton Method with Global Complexity
  Analysis
v1v2v3v4 (latest)

Practical Inexact Proximal Quasi-Newton Method with Global Complexity Analysis

Mathematical programming (Math. Program.), 2013
26 November 2013
K. Scheinberg
Xiaocheng Tang
ArXiv (abs)PDFHTML

Papers citing "Practical Inexact Proximal Quasi-Newton Method with Global Complexity Analysis"

17 / 17 papers shown
Simple Stepsize for Quasi-Newton Methods with Global Convergence Guarantees
Simple Stepsize for Quasi-Newton Methods with Global Convergence Guarantees
A. Agafonov
Vladislav Ryspayev
Samuel Horváth
Alexander V. Gasnikov
Martin Takáč
Slavomír Hanzely
154
1
0
27 Aug 2025
Accelerated Quasi-Newton Proximal Extragradient: Faster Rate for Smooth
  Convex Optimization
Accelerated Quasi-Newton Proximal Extragradient: Faster Rate for Smooth Convex OptimizationNeural Information Processing Systems (NeurIPS), 2023
Ruichen Jiang
Aryan Mokhtari
150
12
0
03 Jun 2023
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
220
1
0
23 May 2022
Accelerating nuclear-norm regularized low-rank matrix optimization through Burer-Monteiro decomposition
Accelerating nuclear-norm regularized low-rank matrix optimization through Burer-Monteiro decomposition
Ching-pei Lee
Ling Liang
Tianyun Tang
Kim-Chuan Toh
357
17
0
29 Apr 2022
One-Step Estimation With Scaled Proximal Methods
One-Step Estimation With Scaled Proximal MethodsMathematics of Operations Research (MOR), 2020
R. Bassett
Julio Deride
299
0
0
30 Apr 2020
Second-order Conditional Gradient Sliding
Second-order Conditional Gradient Sliding
Alejandro Carderera
Sebastian Pokutta
545
13
0
20 Feb 2020
A Distributed Quasi-Newton Algorithm for Primal and Dual Regularized
  Empirical Risk Minimization
A Distributed Quasi-Newton Algorithm for Primal and Dual Regularized Empirical Risk Minimization
Ching-pei Lee
Cong Han Lim
Stephen J. Wright
219
3
0
12 Dec 2019
Dual Extrapolation for Sparse Generalized Linear Models
Dual Extrapolation for Sparse Generalized Linear Models
Mathurin Massias
Samuel Vaiter
Alexandre Gramfort
Joseph Salmon
1.0K
19
0
12 Jul 2019
A Fast, Principled Working Set Algorithm for Exploiting Piecewise Linear
  Structure in Convex Problems
A Fast, Principled Working Set Algorithm for Exploiting Piecewise Linear Structure in Convex Problems
Tyler B. Johnson
Carlos Guestrin
219
5
0
20 Jul 2018
Global linear convergence of Newton's method without strong-convexity or
  Lipschitz gradients
Global linear convergence of Newton's method without strong-convexity or Lipschitz gradients
Sai Praneeth Karimireddy
Sebastian U. Stich
Martin Jaggi
237
62
0
01 Jun 2018
A Distributed Quasi-Newton Algorithm for Empirical Risk Minimization
  with Nonsmooth Regularization
A Distributed Quasi-Newton Algorithm for Empirical Risk Minimization with Nonsmooth Regularization
Ching-pei Lee
Cong Han Lim
Stephen J. Wright
381
29
0
04 Mar 2018
An Inexact Variable Metric Proximal Point Algorithm for Generic
  Quasi-Newton Acceleration
An Inexact Variable Metric Proximal Point Algorithm for Generic Quasi-Newton AccelerationSIAM Journal on Optimization (SIAM J. Optim.), 2016
Hongzhou Lin
Julien Mairal
Zaïd Harchaoui
413
13
0
04 Oct 2016
Proximal Quasi-Newton Methods for Regularized Convex Optimization with
  Linear and Accelerated Sublinear Convergence Rates
Proximal Quasi-Newton Methods for Regularized Convex Optimization with Linear and Accelerated Sublinear Convergence Rates
Hiva Ghanbari
K. Scheinberg
275
7
0
11 Jul 2016
Optimization Methods for Large-Scale Machine Learning
Optimization Methods for Large-Scale Machine Learning
Léon Bottou
Frank E. Curtis
J. Nocedal
1.1K
3,746
0
15 Jun 2016
Sub-Sampled Newton Methods I: Globally Convergent Algorithms
Sub-Sampled Newton Methods I: Globally Convergent Algorithms
Farbod Roosta-Khorasani
Michael W. Mahoney
367
94
0
18 Jan 2016
Proximal Quasi-Newton for Computationally Intensive L1-regularized
  M-estimators
Proximal Quasi-Newton for Computationally Intensive L1-regularized M-estimatorsNeural Information Processing Systems (NeurIPS), 2014
Kai Zhong
Ian En-Hsu Yen
Inderjit S. Dhillon
Pradeep Ravikumar
242
32
0
27 Jun 2014
Fused Multiple Graphical Lasso
Fused Multiple Graphical LassoSIAM Journal on Optimization (SIOPT), 2012
Sen Yang
Zhaosong Lu
Xiaotong Shen
Peter Wonka
Jieping Ye
362
111
0
10 Sep 2012
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