Imagen de Portada

Popov Mirror-Prox Method for Variational Inequalities

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Chakraborty, Abhishek, Nedić, Angelia
Formato:	Preprint
Publicado:	2025
Materias:	Optimization and Control
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Popov Mirror-Prox for solving Variational Inequalities
por: Chakraborty, Abhishek, et al.
Publicado: (2024)

Randomized Feasibility-Update Algorithms for Variational Inequality Problems
por: Chakraborty, Abhishek, et al.
Publicado: (2024)

Randomized Feasibility-Update Algorithms for Stochastic Variational Inequality Problems
por: Chakraborty, Abhishek, et al.
Publicado: (2025)

Randomized Feasibility Methods for Constrained Optimization with Adaptive Step Sizes
por: Chakraborty, Abhishek, et al.
Publicado: (2026)

On Non-Monotone Variational Inequalities
por: Arefizadeh, Sina, et al.
Publicado: (2025)

Last Iterate Convergence of Popov Method for Non-monotone Stochastic Variational Inequalities
por: Vankov, Daniil, et al.
Publicado: (2023)

Robust Constrained Consensus and Inequality-constrained Distributed Optimization with Guaranteed Differential Privacy and Accurate Convergence
por: Wang, Yongqiang, et al.
Publicado: (2024)

Existence of Solutions for Non-monotone VIs and Implications for Games
por: Arefizadeh, Sina, et al.
Publicado: (2025)

Distributed Normal Map-based Stochastic Proximal Gradient Methods over Networks
por: Huang, Kun, et al.
Publicado: (2024)

Tailoring Gradient Methods for Differentially-Private Distributed Optimization
por: Wang, Yongqiang, et al.
Publicado: (2022)

Non-Monotone Variational Inequalities
por: Arefizadeh, Sina, et al.
Publicado: (2024)

Adaptive Methods for Variational Inequalities under Relaxed Smoothness Assumption
por: Vankov, Daniil, et al.
Publicado: (2024)

The Popov's Algorithm with Optimal Bounded Stepsize for Generalized Monotone Variational Inequalities
por: Nguyen, Nhung Hong, et al.
Publicado: (2026)

An Accelerated Distributed Stochastic Gradient Method with Momentum
por: Huang, Kun, et al.
Publicado: (2024)

Generalized Smooth Stochastic Variational Inequalities: Almost Sure Convergence and Convergence Rates
por: Vankov, Daniil, et al.
Publicado: (2024)

The Mirror-Prox Sliding Method for Non-smooth decentralized saddle-point problems
por: Kuruzov, Ilya, et al.
Publicado: (2022)

Convergence Rate Bounds for the Mirror Descent Method: IQCs, Popov Criterion and Bregman Divergence
por: Li, Mengmou, et al.
Publicado: (2023)

Characterizing Trust and Resilience in Distributed Consensus for Cyberphysical Systems
por: Yemini, Michal, et al.
Publicado: (2021)

Mirror Descent Methods with Weighting Scheme for Outputs for Constrained Variational Inequality Problems
por: Alkousa, Mohammad S., et al.
Publicado: (2025)

Constrained multi-cluster game: Distributed Nash equilibrium seeking over directed graphs
por: Nguyen, Duong Thuy Anh, et al.
Publicado: (2024)

Low-Rank Mirror-Prox for Nonsmooth and Low-Rank Matrix Optimization Problems
por: Garber, Dan, et al.
Publicado: (2022)

Some Unified Theory for Variance Reduced Prox-Linear Methods
por: Wu, Yue, et al.
Publicado: (2024)

Fast Distributed Optimization over Directed Graphs under Malicious Attacks using Trust
por: Dayı, Arif Kerem, et al.
Publicado: (2024)

A Globalized Semismooth Newton Method for Prox-regular Optimization Problems
por: Wu, Yuqia, et al.
Publicado: (2025)

Prox-PINNs: A Deep Learning Algorithmic Framework for Elliptic Variational Inequalities
por: Gao, Yu, et al.
Publicado: (2025)

Mirror Descent-Type Algorithms for the Variational Inequality Problem with Functional Constraints
por: Alkousa, Mohammad S., et al.
Publicado: (2026)

Prox-NAG-GS: A Semi-Implicit Proximal Method for Composite Optimization
por: Wiykiynyuy, Sikeh Gisele, et al.
Publicado: (2026)

Methods for Solving Variational Inequalities with Markovian Stochasticity
por: Solodkin, Vladimir, et al.
Publicado: (2024)

Analysis of Kernel Mirror Prox for Measure Optimization
por: Dvurechensky, Pavel, et al.
Publicado: (2024)

A Dantzig-Wolfe Decomposition Method for Quasi-Variational Inequalities
por: Jardim, Manoel, et al.
Publicado: (2025)

Effective Method with Compression for Distributed and Federated Cocoercive Variational Inequalities
por: Medyakov, Daniil, et al.
Publicado: (2024)

Fast Distributed Nash Equilibrium Seeking in Monotone Games
por: Tatarenko, Tatiana, et al.
Publicado: (2025)

Random minibatch subgradient algorithms for convex problems with functional constraints
por: Nedich, Angelia, et al.
Publicado: (2019)

A Certificate of Unboundedness for Polynomial Optimization Problems
por: Rele, Rohan, et al.
Publicado: (2026)

On the Convergence of FedProx with Extrapolation and Inexact Prox
por: Li, Hanmin, et al.
Publicado: (2024)

Regularized Operator Extrapolation Method For Stochastic Bilevel Variational Inequality Problems
por: Khalafi, Mohammad, et al.
Publicado: (2025)

Target Mirror Descent: A Unifying Framework for Solving Monotone Variational Inequalities
por: Chen, Yu-Wen, et al.
Publicado: (2026)

Method with Batching for Stochastic Finite-Sum Variational Inequalities in Non-Euclidean Setting
por: Pichugin, Alexander, et al.
Publicado: (2024)

Optimal Analysis of Method with Batching for Monotone Stochastic Finite-Sum Variational Inequalities
por: Pichugin, Alexander, et al.
Publicado: (2024)

Mirror-Free Proximal Methods
por: Vyas, Abhijeet, et al.
Publicado: (2026)