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

9 February 2016

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

18 / 18 papers shown

Title
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 67 0 0 01 Apr 2025
Nonsmooth Nonconvex-Nonconcave Minimax Optimization: Primal-Dual Balancing and Iteration Complexity Analysis Jiajin Li Lingling Zhu Anthony Man-Cho So 59 4 0 17 Jan 2025
Convergence Analysis of Mean Shift Ryoya Yamasaki Toshiyuki Tanaka 22 4 0 15 May 2023
Tensor Factorization via Transformed Tensor-Tensor Product for Image Alignment Sijia Xia Duo Qiu Xiongjun Zhang 39 5 0 12 Dec 2022
Towards a Theoretical Foundation of Policy Optimization for Learning Control Policies Bin Hu Kaipeng Zhang Na Li M. Mesbahi Maryam Fazel Tamer Bacsar 87 27 0 10 Oct 2022
Convergence Rates of Training Deep Neural Networks via Alternating Minimization Methods Jintao Xu Chenglong Bao W. Xing 8 3 0 30 Aug 2022
Joint reconstruction-segmentation on graphs Jeremy Budd Y. Gennip J. Latz S. Parisotto Carola-Bibiane Schönlieb 24 3 0 11 Aug 2022
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 44 1 0 17 May 2022
SG-PALM: a Fast Physically Interpretable Tensor Graphical Model Yu Wang Alfred Hero 36 4 0 26 May 2021
Global Convergence of Model Function Based Bregman Proximal Minimization Algorithms Mahesh Chandra Mukkamala M. Fadili Peter Ochs 27 8 0 24 Dec 2020
SGD for Structured Nonconvex Functions: Learning Rates, Minibatching and Interpolation Robert Mansel Gower Othmane Sebbouh Nicolas Loizou 25 74 0 18 Jun 2020
Differentially Private Empirical Risk Minimization Revisited: Faster and More General Di Wang Minwei Ye Jinhui Xu 19 268 0 14 Feb 2018
Proximal Gradient Method with Extrapolation and Line Search for a Class of Nonconvex and Nonsmooth Problems Lei Yang 35 23 0 18 Nov 2017
Convergence Analysis of Proximal Gradient with Momentum for Nonconvex Optimization Qunwei Li Yi Zhou Yingbin Liang P. Varshney 21 94 0 14 May 2017
Convergence of the Forward-Backward Algorithm: Beyond the Worst Case with the Help of Geometry Guillaume Garrigos Lorenzo Rosasco S. Villa 6 41 0 28 Mar 2017
Linear Convergence of Gradient and Proximal-Gradient Methods Under the Polyak-Łojasiewicz Condition Hamed Karimi J. Nutini Mark Schmidt 139 1,205 0 16 Aug 2016
A Richer Theory of Convex Constrained Optimization with Reduced Projections and Improved Rates Tianbao Yang Qihang Lin Lijun Zhang 19 25 0 11 Aug 2016
Accelerate Stochastic Subgradient Method by Leveraging Local Growth Condition Yi Tian Xu Qihang Lin Tianbao Yang 28 11 0 04 Jul 2016