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First-Order Methods for Convex Optimization
v1v2 (latest)

First-Order Methods for Convex Optimization

EURO Journal on Computational Optimization (EJCO), 2021
4 January 2021
Pavel Dvurechensky
Mathias Staudigl
Shimrit Shtern
    ODL
ArXiv (abs)PDFHTML

Papers citing "First-Order Methods for Convex Optimization"

6 / 6 papers shown
Analysis of Schedule-Free Nonconvex Optimization
Analysis of Schedule-Free Nonconvex Optimization
Connor Brown
120
1
0
08 Aug 2025
Revisiting Trace Norm Minimization for Tensor Tucker Completion: A
  Direct Multilinear Rank Learning Approach
Revisiting Trace Norm Minimization for Tensor Tucker Completion: A Direct Multilinear Rank Learning ApproachPattern Recognition (Pattern Recogn.), 2024
Xueke Tong
Hancheng Zhu
Lei Cheng
Yik-Chung Wu
222
5
0
08 Sep 2024
A conditional gradient homotopy method with applications to Semidefinite Programming
A conditional gradient homotopy method with applications to Semidefinite ProgrammingIMA Journal of Numerical Analysis (IMA J. Numer. Anal.), 2022
Pavel Dvurechensky
Shimrit Shtern
Shimrit Shtern
Mathias Staudigl
370
1
0
07 Jul 2022
Proximal-like algorithms for equilibrium seeking in mixed-integer Nash
  equilibrium problems
Proximal-like algorithms for equilibrium seeking in mixed-integer Nash equilibrium problemsIEEE Conference on Decision and Control (CDC), 2022
F. Fabiani
Barbara Franci
Simone Sagratella
Martin Schmidt
Mathias Staudigl
122
6
0
29 Mar 2022
Recent Theoretical Advances in Non-Convex Optimization
Recent Theoretical Advances in Non-Convex Optimization
Marina Danilova
Pavel Dvurechensky
Alexander Gasnikov
Eduard A. Gorbunov
Sergey Guminov
Dmitry Kamzolov
Innokentiy Shibaev
346
104
0
11 Dec 2020
A New Randomized Primal-Dual Algorithm for Convex Optimization with
  Optimal Last Iterate Rates
A New Randomized Primal-Dual Algorithm for Convex Optimization with Optimal Last Iterate Rates
Quoc Tran-Dinh
Deyi Liu
325
4
0
03 Mar 2020
1