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A simple uniformly optimal method without line search for convex
  optimization

A simple uniformly optimal method without line search for convex optimization

16 October 2023
Tianjiao Li
Guanghui Lan
ArXivPDFHTML

Papers citing "A simple uniformly optimal method without line search for convex optimization"

8 / 8 papers shown
Title
Analysis of an Idealized Stochastic Polyak Method and its Application to Black-Box Model Distillation
Analysis of an Idealized Stochastic Polyak Method and its Application to Black-Box Model Distillation
Robert M. Gower
Guillaume Garrigos
Nicolas Loizou
Dimitris Oikonomou
Konstantin Mishchenko
Fabian Schaipp
31
0
0
02 Apr 2025
The inexact power augmented Lagrangian method for constrained nonconvex
  optimization
The inexact power augmented Lagrangian method for constrained nonconvex optimization
Alexander Bodard
Konstantinos A. Oikonomidis
Emanuel Laude
Panagiotis Patrinos
21
0
0
26 Oct 2024
Auto-conditioned primal-dual hybrid gradient method and alternating
  direction method of multipliers
Auto-conditioned primal-dual hybrid gradient method and alternating direction method of multipliers
Guanghui Lan
Tianjiao Li
11
0
0
02 Oct 2024
Optimization on a Finer Scale: Bounded Local Subgradient Variation
  Perspective
Optimization on a Finer Scale: Bounded Local Subgradient Variation Perspective
Jelena Diakonikolas
Cristóbal Guzmán
76
1
0
24 Mar 2024
Problem-Parameter-Free Decentralized Nonconvex Stochastic Optimization
Problem-Parameter-Free Decentralized Nonconvex Stochastic Optimization
Jiaxiang Li
Xuxing Chen
Shiqian Ma
Mingyi Hong
ODL
19
2
0
13 Feb 2024
Adaptive proximal gradient methods are universal without approximation
Adaptive proximal gradient methods are universal without approximation
Konstantinos A. Oikonomidis
Emanuel Laude
P. Latafat
Andreas Themelis
Panagiotis Patrinos
12
6
0
09 Feb 2024
On the convergence of adaptive first order methods: proximal gradient
  and alternating minimization algorithms
On the convergence of adaptive first order methods: proximal gradient and alternating minimization algorithms
P. Latafat
Andreas Themelis
Panagiotis Patrinos
18
11
0
30 Nov 2023
Optimal and parameter-free gradient minimization methods for convex and
  nonconvex optimization
Optimal and parameter-free gradient minimization methods for convex and nonconvex optimization
Guanghui Lan
Yuyuan Ouyang
Zhe Zhang
11
7
0
18 Oct 2023
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