Cover Image

Stochastic Moving Anchor Algorithms and a Popov's Scheme with Moving Anchor

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Alcala, James, Chow, Yat Tin, Sunkula, Mahesh
Format:	Preprint
Published:	2025
Subjects:	Optimization and Control 90C47
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Moving Anchor Extragradient Methods For Smooth Structured Minimax Problems
by: Alcala, James K., et al.
Published: (2023)

Correction to: A Lagrangian dual method for two-stage robust optimization with binary uncertainties
by: Lefebvre, Henri, et al.
Published: (2024)

Solutions of Two-stage Stochastic Minimax Problems
by: Sun, Hailin, et al.
Published: (2025)

Inexact Proximal Point Algorithms for Zeroth-Order Global Optimization
by: Zhang, Minxin, et al.
Published: (2024)

A symmetric primal-dual algorithmic framework for saddle point problems
by: He, Hongjin, et al.
Published: (2022)

Splitting Algorithms for Distributionally Robust Optimization
by: Briceño-Arias, Luis, et al.
Published: (2024)

A Fully Parameter-Free Second-Order Algorithm for Convex-Concave Minimax Problems
by: Wang, Junlin, et al.
Published: (2024)

Gradient Norm Regularization Second-Order Algorithms for Solving Nonconvex-Strongly Concave Minimax Problems
by: Wang, Jun-Lin, et al.
Published: (2024)

A Note on Piecewise Affine Decision Rules for Robust, Stochastic, and Data-Driven Optimization
by: Thomä, Simon, et al.
Published: (2024)

Convergence of the Frank-Wolfe Algorithm for Monotone Variational Inequalities
by: Hough, Matthew
Published: (2026)

Optimality Conditions and Numerical Algorithms for a Class of Minimax Bilevel Optimization Problems
by: Hu, Yaling, et al.
Published: (2026)

Continuous models combining slacks-based measures of efficiency and super-efficiency
by: Bolos, Vicente J., et al.
Published: (2024)

Optimizing Flexibility in Power Systems by Maximizing the Region of Manageable Uncertainties
by: Zingler, Aron, et al.
Published: (2024)

Deriving Priorities From Inconsistent PCM using the Network Algorithms
by: Anholcer, Marcin, et al.
Published: (2015)

Mini-Batch Stochastic Krasnosel'ski\uı-Mann Algorithm for Nonexpansive Fixed Point Problems
by: Iiduka, Hideaki
Published: (2026)

Application and issues in abstract convexity
by: Millán, Reinier Díaz, et al.
Published: (2022)

Two trust region type algorithms for solving nonconvex-strongly concave minimax problems
by: Yao, Tongliang, et al.
Published: (2024)

Fully First-Order Methods for Decentralized Bilevel Optimization
by: Wang, Xiaoyu, et al.
Published: (2024)

Generalized Optimistic Methods for Convex-Concave Saddle Point Problems
by: Jiang, Ruichen, et al.
Published: (2022)

Universal Complexity Bounds for Universal Gradient Methods in Nonlinear Optimization
by: Nesterov, Yurii
Published: (2025)

A Dual Method for Minimax Quadratic Programming
by: Ren, Wenhui, et al.
Published: (2025)

Saddle points in completely regular topological spaces
by: Kamburova, D., et al.
Published: (2023)

Line-search and Adaptive Step Sizes for Nonconvex-strongly-concave Minimax Optimization
by: Ma, Bohao, et al.
Published: (2026)

Nonlinear Conjugate Gradient Methods for Optimization of Set-Valued Mappings of Finite Cardinality
by: Ghosh, Debdas, et al.
Published: (2024)

Quasi-Newton Method for Set Optimization Problems with Set-Valued Mapping Given by Finitely Many Vector-Valued Functions
by: Ghosh, Debdas, et al.
Published: (2024)

A Theory of Composition and Duality of Extremal Optimal Fixed-Point Algorithms
by: Yoon, TaeHo, et al.
Published: (2026)

Scenario approach for minmax optimization with emphasis on the nonconvex case: positive results and caveats
by: K, Mishal Assif P, et al.
Published: (2019)

Robust Utility Maximization with Intractable Claims under Distributional Ambiguity: A Random Distributionally Robust Optimization Approach
by: Guan, Guohui, et al.
Published: (2025)

Time-integrated Optimal Transport: A Robust Minimax Framework
by: Nguyen, Thai P. D., et al.
Published: (2025)

Designing Tractable Piecewise Affine Policies for Multi-Stage Adjustable Robust Optimization
by: Thomä, Simon, et al.
Published: (2022)

Converting exhausters and coexhausters
by: Abbasov, Majid E.
Published: (2021)

PL conditions do not guarantee convergence of gradient descent-ascent dynamics
by: Mourrat, Jean-Christophe
Published: (2026)

Multivariate approximation by polynomial and generalised rational functions
by: Millán, R. Díaz, et al.
Published: (2021)

Semi-Infinite Programs for Robust Control and Optimization: Efficient Solutions and Extensions to Existence Constraints
by: Wehbeh, Jad, et al.
Published: (2024)

Is Noisy Data a Blessing in Disguise? A Distributionally Robust Optimization Perspective
by: Hsieh, Chung-Han, et al.
Published: (2025)

State-Dependent Uncertainty Modeling in Robust Optimal Control Problems through Generalized Semi-Infinite Programming
by: Wehbeh, J., et al.
Published: (2025)

Bounding-Focused Discretization Methods for the Global Optimization of Nonconvex Semi-Infinite Programs
by: Turan, Evren M., et al.
Published: (2023)

Symplectic Discretization Approach for Developing New Proximal Point Algorithm
by: Yuan, Ya-xiang, et al.
Published: (2023)

Characterization of regularity via variational stability of alternating projections sequences
by: Battistoni, Francesco, et al.
Published: (2025)

On Computing and Pricing of Adjustable Robust Chemical Process Designs
by: Schwientek, Jan, et al.
Published: (2025)