Cover Image

Adaptive Stochastic Gradient Descent Ascent Algorithm for Nonconvex Minimax Problems with Decision-Dependent Distributions

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Gao, Yan, Liu, Yongchao
Format:	Preprint
Published:	2025
Subjects:	Optimization and Control 90C26, 90C15, 65K05 G.1.6; G.1.0
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Zeroth-Order Methods for Nonconvex Stochastic Problems with Decision-Dependent Distributions
by: Hikima, Yuya, et al.
Published: (2024)

Proximal Gradient Descent Ascent Methods for Nonsmooth Nonconvex-Concave Minimax Problems on Riemannian Manifolds
by: Xie, Xiyuan, et al.
Published: (2025)

Taming Nonconvex Stochastic Mirror Descent with General Bregman Divergence
by: Fatkhullin, Ilyas, et al.
Published: (2024)

Where's Ben Nevis? A 2D optimisation benchmark with 957,174 local optima based on Great Britain terrain data
by: Wei, Yuhang, et al.
Published: (2024)

Inexact Riemannian Gradient Descent Method for Nonconvex Optimization
by: Zhou, Juan, et al.
Published: (2024)

OPM, a collection of Optimization Problems in Matlab
by: Gratton, Serge, et al.
Published: (2021)

Convergence rate of the (1+1)-evolution strategy on locally strongly convex functions with lipschitz continuous gradient
by: Morinaga, Daiki, et al.
Published: (2022)

Trust Region Algorithm for Stochastic Minimax Problems with Decision-Dependent Distributions
by: Gao, Yan, et al.
Published: (2025)

Data-Dependent Complexity of First-Order Methods for Binary Classification
by: Hough, Matthew, et al.
Published: (2025)

Active set identification and rapid convergence for degenerate primal-dual problems
by: Díaz, Mateo, et al.
Published: (2026)

Zeroth-order gradient estimators for stochastic problems with decision-dependent distributions
by: Hikima, Yuya, et al.
Published: (2025)

Anisotropic Gaussian Smoothing for Gradient-based Optimization
by: Starnes, Andrew, et al.
Published: (2024)

A Primal-Dual Frank-Wolfe Algorithm for Linear Programming
by: Hough, Matthew, et al.
Published: (2024)

Gradient Descent Methods for Regularized Optimization
by: Nikolovski, Filip, et al.
Published: (2024)

Adaptive Methods for Multiobjective Unit Commitment
by: Tevruez, Ece, et al.
Published: (2025)

Last-iterate Convergence of ADMM on Multi-affine Quadratic Equality Constrained Problem
by: Chao, Yutong, et al.
Published: (2026)

Natural Gradient VI: Guarantees for Non-Conjugate Models
by: Sun, Fangyuan, et al.
Published: (2025)

Joint Pricing and Matching for Resource Allocation Platforms via Min-cost Flow Problem
by: Hikima, Yuya, et al.
Published: (2024)

Adaptive Conditional Forest Sampling for Spectral Risk Optimisation under Decision-Dependent Uncertainty
by: Kurbucz, Marcell T.
Published: (2026)

Projections onto Spectral Matrix Cones
by: Cederberg, Daniel, et al.
Published: (2025)

Majorization-Minimization-Based Levenberg--Marquardt Method for Constrained Nonlinear Least Squares
by: Marumo, Naoki, et al.
Published: (2020)

Pseudoconvex Problems in Operational Decision Systems: Algorithms for Joint Learning and Optimization
by: Li, Zijun, et al.
Published: (2026)

An Algebraically Converging Stochastic Gradient Descent Algorithm for Global Optimization
by: Engquist, Björn, et al.
Published: (2022)

Escaping Saddle Points via Curvature-Calibrated Perturbations: A Complete Analysis with Explicit Constants and Empirical Validation
by: Alpay, Faruk, et al.
Published: (2025)

Sufficiently Regularized Nonnegative Quartic Polynomials are Sum-of-Squares
by: Zhu, Wenqi, et al.
Published: (2026)

Barrier Algorithms for Constrained Non-Convex Optimization
by: Dvurechensky, Pavel, et al.
Published: (2024)

CAO: Curvature-Adaptive Optimization via Periodic Low-Rank Hessian Sketching
by: Du, Wenzhang
Published: (2025)

Comparative Evaluation of SDP, SOCP, and QC Convex Relaxations for Large-Scale Market-Based AC Optimal Power Flow
by: Keskin, Ata
Published: (2026)

IPAS: An Adaptive Sample Size Method for Weighted Finite Sum Problems with Linear Equality Constraints
by: Krejić, Nataša, et al.
Published: (2025)

A Riemannian Variational and Spectral Framework for High-Dimensional Sphere Packing: Barrier-Dynamics Reconciliation, Periodic Rigidity, and Discrete-Time Guarantees
by: Alpay, Faruk, et al.
Published: (2025)

An Extended ADMM for 3-Block Nonconvex Nonseparable Problems with Applications
by: Liu, Zekun
Published: (2024)

Stochastic convergence of parallel asynchronous adaptive first-order methods
by: Gratton, Serge, et al.
Published: (2026)

FlowAdam: Implicit Regularization via Geometry-Aware Soft Momentum Injection
by: Singh, Devender, et al.
Published: (2026)

Refining Graphical Neural Network Predictions Using Flow Matching for Optimal Power Flow with Constraint-Satisfaction Guarantee
by: Khanal, Kshitiz
Published: (2025)

Nonlinear PageRank Problem for Local Graph Partitioning
by: Kodsi, Costy, et al.
Published: (2024)

Parameter-Free Accelerated Quasi-Newton Method for Nonconvex Optimization
by: Marumo, Naoki
Published: (2025)

An inexact infeasible arc-search interior-point method for linear optimization problems
by: Iida, Einosuke, et al.
Published: (2024)

Quadratic Surrogate Attractor for Particle Swarm Optimization
by: Clemente, Maurizio, et al.
Published: (2026)

A Stochastic Gradient Descent Method for Globally Minimizing Nearly Convex Functions
by: Bao, Chenglong, et al.
Published: (2025)

Boosted Stochastic Frank-Wolfe for Constrained Nonconvex Optimization
by: Nandhan, Navil, et al.
Published: (2026)