Accelerated variance-reduced methods for saddle-point problems
DOI10.1016/j.ejco.2022.100048zbMath1530.90111OpenAlexW4304688289MaRDI QIDQ6114960
A. V. Gasnikov, Ekaterina Borodich, Dmitry P. Kovalev, Yaroslav Tominin, Vladislav Tominin, Pavel Dvurechensky
Publication date: 12 July 2023
Published in: EURO Journal on Computational Optimization (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.ejco.2022.100048
minimax optimizationsaddle-point problemcomposite optimizationaccelerated algorithmsstochastic variance-reduced algorithms
Numerical mathematical programming methods (65K05) Minimax problems in mathematical programming (90C47) Optimality conditions for minimax problems (49K35)
Related Items (1)
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Smooth minimization of non-smooth functions
- Primal-dual methods for solving infinite-dimensional games
- Solving strongly monotone variational and quasi-variational inequalities
- Dual extrapolation and its applications to solving variational inequalities and related problems
- Introductory lectures on convex optimization. A basic course.
- Accelerated schemes for a class of variational inequalities
- A first-order primal-dual algorithm for convex problems with applications to imaging
- Oracle complexity separation in convex optimization
- Generalized mirror prox algorithm for monotone variational inequalities: Universality and inexact oracle
- Accelerated methods for saddle-point problem
- First-order and stochastic optimization methods for machine learning
- Accelerated meta-algorithm for convex optimization problems
- The Bargaining Problem
- About reduction of searching competetive equillibrium to the minimax problem in application to different network problems
- Catalyst Acceleration for First-order Convex Optimization: from Theory to Practice
- Prox-Method with Rate of Convergence O(1/t) for Variational Inequalities with Lipschitz Continuous Monotone Operators and Smooth Convex-Concave Saddle Point Problems
- Accelerated Stochastic Algorithms for Convex-Concave Saddle-Point Problems
- Regularization and Variable Selection Via the Elastic Net
- Excessive Gap Technique in Nonsmooth Convex Minimization
- Proximité et dualité dans un espace hilbertien
- Inexact model: a framework for optimization and variational inequalities
This page was built for publication: Accelerated variance-reduced methods for saddle-point problems