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Calculus of the exponent of Kurdyka-Łojasiewicz inequality and its
  applications to linear convergence of first-order methods

Calculus of the exponent of Kurdyka-Łojasiewicz inequality and its applications to linear convergence of first-order methods

9 February 2016
Guoyin Li
Ting Kei Pong
ArXivPDFHTML

Papers citing "Calculus of the exponent of Kurdyka-Łojasiewicz inequality and its applications to linear convergence of first-order methods"

13 / 13 papers shown
Title
Investigating Large Language Models in Diagnosing Students' Cognitive Skills in Math Problem-solving
Investigating Large Language Models in Diagnosing Students' Cognitive Skills in Math Problem-solving
Hyoungwook Jin
Yoonsu Kim
Dongyun Jung
Seungju Kim
Kiyoon Choi
J. Son
Juho Kim
LRM
58
0
0
01 Apr 2025
Nonsmooth Nonconvex-Nonconcave Minimax Optimization: Primal-Dual Balancing and Iteration Complexity Analysis
Nonsmooth Nonconvex-Nonconcave Minimax Optimization: Primal-Dual Balancing and Iteration Complexity Analysis
Jiajin Li
Lingling Zhu
Anthony Man-Cho So
46
4
0
17 Jan 2025
Convergence Analysis of Mean Shift
Convergence Analysis of Mean Shift
Ryoya Yamasaki
Toshiyuki Tanaka
14
4
0
15 May 2023
Joint reconstruction-segmentation on graphs
Joint reconstruction-segmentation on graphs
Jeremy Budd
Y. Gennip
J. Latz
S. Parisotto
Carola-Bibiane Schönlieb
11
3
0
11 Aug 2022
Fast and Provably Convergent Algorithms for Gromov-Wasserstein in Graph
  Data
Fast and Provably Convergent Algorithms for Gromov-Wasserstein in Graph Data
Jiajin Li
Jianheng Tang
Lemin Kong
Huikang Liu
Jia Li
Anthony Man-Cho So
Jose H. Blanchet
31
1
0
17 May 2022
SG-PALM: a Fast Physically Interpretable Tensor Graphical Model
SG-PALM: a Fast Physically Interpretable Tensor Graphical Model
Yu Wang
Alfred Hero
34
4
0
26 May 2021
Global Convergence of Model Function Based Bregman Proximal Minimization
  Algorithms
Global Convergence of Model Function Based Bregman Proximal Minimization Algorithms
Mahesh Chandra Mukkamala
M. Fadili
Peter Ochs
17
8
0
24 Dec 2020
SGD for Structured Nonconvex Functions: Learning Rates, Minibatching and
  Interpolation
SGD for Structured Nonconvex Functions: Learning Rates, Minibatching and Interpolation
Robert Mansel Gower
Othmane Sebbouh
Nicolas Loizou
25
74
0
18 Jun 2020
Proximal Gradient Method with Extrapolation and Line Search for a Class
  of Nonconvex and Nonsmooth Problems
Proximal Gradient Method with Extrapolation and Line Search for a Class of Nonconvex and Nonsmooth Problems
Lei Yang
25
22
0
18 Nov 2017
Convergence Analysis of Proximal Gradient with Momentum for Nonconvex
  Optimization
Convergence Analysis of Proximal Gradient with Momentum for Nonconvex Optimization
Qunwei Li
Yi Zhou
Yingbin Liang
P. Varshney
8
94
0
14 May 2017
Linear Convergence of Gradient and Proximal-Gradient Methods Under the
  Polyak-Łojasiewicz Condition
Linear Convergence of Gradient and Proximal-Gradient Methods Under the Polyak-Łojasiewicz Condition
Hamed Karimi
J. Nutini
Mark W. Schmidt
121
1,198
0
16 Aug 2016
A Richer Theory of Convex Constrained Optimization with Reduced
  Projections and Improved Rates
A Richer Theory of Convex Constrained Optimization with Reduced Projections and Improved Rates
Tianbao Yang
Qihang Lin
Lijun Zhang
17
25
0
11 Aug 2016
Accelerate Stochastic Subgradient Method by Leveraging Local Growth
  Condition
Accelerate Stochastic Subgradient Method by Leveraging Local Growth Condition
Yi Tian Xu
Qihang Lin
Tianbao Yang
20
11
0
04 Jul 2016
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