On the Resolution of Stochastic MPECs over Networks: Distributed Implicit Zeroth-Order Gradient Tracking Methods
Fuente:
arXiv
Saved in:
| Main Authors: | Ebrahimi, Mohammadjavad, Shanbhag, Uday V., Yousefian, Farzad |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Distributed Gradient Tracking Methods with Guarantees for Computing a Solution to Stochastic MPECs
by: Ebrahimi, Mohammadjavad, et al.
Published: (2023)
by: Ebrahimi, Mohammadjavad, et al.
Published: (2023)
Zeroth-Order Federated Methods for Stochastic MPECs and Nondifferentiable Nonconvex Hierarchical Optimization
by: Qiu, Yuyang, et al.
Published: (2023)
by: Qiu, Yuyang, et al.
Published: (2023)
Zeroth-order Gradient and Quasi-Newton Methods for Nonsmooth Nonconvex Stochastic Optimization
by: Marrinan, Luke, et al.
Published: (2023)
by: Marrinan, Luke, et al.
Published: (2023)
On the Sampling-based Computation of Nash Equilibria under Uncertainty via the Nikaido-Isoda Function
by: Marrinan, Luke, et al.
Published: (2025)
by: Marrinan, Luke, et al.
Published: (2025)
Self-tuned Regularized Federated Methods with Guarantees for Optimal Solution Selection
by: Ebrahimi, Mohammadjavad, et al.
Published: (2025)
by: Ebrahimi, Mohammadjavad, et al.
Published: (2025)
On Performance Guarantees for Federated Learning with Personalized Constraints
by: Ebrahimi, Mohammadjavad, et al.
Published: (2026)
by: Ebrahimi, Mohammadjavad, et al.
Published: (2026)
A Distributed Iterative Tikhonov Method for Networked Monotone Aggregative Hierarchical Stochastic Games
by: Lei, Jinlong, et al.
Published: (2023)
by: Lei, Jinlong, et al.
Published: (2023)
Iteratively Regularized Gradient Tracking Methods for Optimal Equilibrium Seeking
by: Qiu, Yuyang, et al.
Published: (2024)
by: Qiu, Yuyang, et al.
Published: (2024)
Computing Equilibria in Stochastic Nonconvex and Non-monotone Games via Gradient-Response Schemes
by: Xiao, Zhuoyu, et al.
Published: (2025)
by: Xiao, Zhuoyu, et al.
Published: (2025)
A Randomized Zeroth-Order Hierarchical Framework for Heterogeneous Federated Learning
by: Qiu, Yuyang, et al.
Published: (2025)
by: Qiu, Yuyang, et al.
Published: (2025)
Complexity Guarantees for Zeroth-order Methods via Exponentially-shifted Gaussian Smoothing: Mitigating Dimension-dependence and Incorporating Decision-dependence
by: Wang, Mingrui, et al.
Published: (2026)
by: Wang, Mingrui, et al.
Published: (2026)
A Parameter-Free Stochastic LineseArch Method (SLAM) for Minimizing Expectation Residuals
by: Wang, Qi, et al.
Published: (2025)
by: Wang, Qi, et al.
Published: (2025)
Equilibrium Invariance, Proximality, and Surrogation: Moreau-Smoothed Best-Response Pathways in Stochastic Nonsmooth Games
by: Xiao, Zhuoyu, et al.
Published: (2026)
by: Xiao, Zhuoyu, et al.
Published: (2026)
Black-Box Followers, White-Box Leaders: Partial Zeroth-Order Methods for MPECs
by: Fischer, Miriam, et al.
Published: (2026)
by: Fischer, Miriam, et al.
Published: (2026)
Variance-Reduced Accelerated First-order Methods: Central Limit Theorems and Confidence Statements
by: Lei, Jinlong, et al.
Published: (2020)
by: Lei, Jinlong, et al.
Published: (2020)
Distributed Zeroth-Order Optimization with Rademacher Perturbations and Momentum Gradient Tracking
by: Su, Yanxu, et al.
Published: (2026)
by: Su, Yanxu, et al.
Published: (2026)
Improved guarantees for optimal Nash equilibrium seeking and bilevel variational inequalities
by: Samadi, Sepideh, et al.
Published: (2023)
by: Samadi, Sepideh, et al.
Published: (2023)
High-Probability Guarantees for Random Zeroth-Order (Stochastic) Gradient Descent
by: Ye, Haishan
Published: (2026)
by: Ye, Haishan
Published: (2026)
Compressed Zeroth-Order Algorithm for Stochastic Distributed Nonconvex Optimization
by: Wang, Haonan, et al.
Published: (2025)
by: Wang, Haonan, et al.
Published: (2025)
Fully Adaptive Zeroth-Order Method for Minimizing Functions with Compressible Gradients
by: Grapiglia, Geovani Nunes, et al.
Published: (2025)
by: Grapiglia, Geovani Nunes, et al.
Published: (2025)
A Zeroth-order Proximal Stochastic Gradient Method for Weakly Convex Stochastic Optimization
by: Pougkakiotis, Spyridon, et al.
Published: (2022)
by: Pougkakiotis, Spyridon, et al.
Published: (2022)
Distributed Stochastic Zeroth-Order Optimization with Compressed Communication
by: Hua, Youqing, et al.
Published: (2025)
by: Hua, Youqing, et al.
Published: (2025)
A Zeroth-Order Extra-Gradient Method for Black-Box Constrained Optimization
by: Zhou, Yuke, et al.
Published: (2025)
by: Zhou, Yuke, et al.
Published: (2025)
Distributed Normal Map-based Stochastic Proximal Gradient Methods over Networks
by: Huang, Kun, et al.
Published: (2024)
by: Huang, Kun, et al.
Published: (2024)
Variance-Reduced Gradient Estimator for Nonconvex Zeroth-Order Distributed Optimization
by: Mu, Huaiyi, et al.
Published: (2024)
by: Mu, Huaiyi, et al.
Published: (2024)
Zeroth-Order Methods for Stochastic Nonconvex Nonsmooth Composite Optimization
by: Chen, Ziyi, et al.
Published: (2025)
by: Chen, Ziyi, et al.
Published: (2025)
Stochastic Zeroth-Order Method for Computing Generalized Rayleigh Quotients
by: Bresch, Jonas, et al.
Published: (2025)
by: Bresch, Jonas, et al.
Published: (2025)
On iteratively regularized first-order methods for simple bilevel optimization
by: Samadi, Sepideh, et al.
Published: (2025)
by: Samadi, Sepideh, et al.
Published: (2025)
Compressed Momentum-based Single-Point Zeroth-Order Algorithm for Stochastic Distributed Nonconvex Optimization
by: Chen, Linjing, et al.
Published: (2025)
by: Chen, Linjing, et al.
Published: (2025)
Stochastic Zeroth-Order Optimization Under Heavy-Tailed Noise
by: Bakkali, Taha El, et al.
Published: (2026)
by: Bakkali, Taha El, et al.
Published: (2026)
Distributed Asynchronous Primal-Dual Optimization for Supply-Chain Networks
by: Patel, Laksh, et al.
Published: (2025)
by: Patel, Laksh, et al.
Published: (2025)
Optimization Workshop Notes for Mathematical Programming with Equilibrium Constraints (MPECs): Second-Order Optimality Conditions
by: Yu, Jiguang
Published: (2026)
by: Yu, Jiguang
Published: (2026)
Zeroth-order Stochastic Cubic Newton Method Revisited
by: Liu, Yu, et al.
Published: (2024)
by: Liu, Yu, et al.
Published: (2024)
ADMM-Tracking Gradient for Distributed Optimization over Asynchronous and Unreliable Networks
by: Carnevale, Guido, et al.
Published: (2023)
by: Carnevale, Guido, et al.
Published: (2023)
Inexact Zeroth-Order Nonsmooth and Nonconvex Stochastic Composite Optimization and Applications
by: Pougkakiotis, Spyridon, et al.
Published: (2025)
by: Pougkakiotis, Spyridon, et al.
Published: (2025)
Incentive-Aware Federated Averaging with Performance Guarantees under Strategic Participation
by: Maleki, Fateme, et al.
Published: (2026)
by: Maleki, Fateme, et al.
Published: (2026)
On the Inherent Privacy of Zeroth Order Projected Gradient Descent
by: Gupta, Devansh, et al.
Published: (2025)
by: Gupta, Devansh, et al.
Published: (2025)
Heterogeneous Distributed Zeroth-Order Nonconvex Optimization with Communication Compression
by: Wang, Haonan, et al.
Published: (2026)
by: Wang, Haonan, et al.
Published: (2026)
Accelerating Single-Point Zeroth-Order Optimization with Regression-Based Gradient Surrogates
by: Chen, Xin, et al.
Published: (2025)
by: Chen, Xin, et al.
Published: (2025)
High-Probability Guarantees for Random Zeroth-Order Gradient Descent on Smooth Functions
by: Ye, Haishan
Published: (2026)
by: Ye, Haishan
Published: (2026)
Similar Items
-
Distributed Gradient Tracking Methods with Guarantees for Computing a Solution to Stochastic MPECs
by: Ebrahimi, Mohammadjavad, et al.
Published: (2023) -
Zeroth-Order Federated Methods for Stochastic MPECs and Nondifferentiable Nonconvex Hierarchical Optimization
by: Qiu, Yuyang, et al.
Published: (2023) -
Zeroth-order Gradient and Quasi-Newton Methods for Nonsmooth Nonconvex Stochastic Optimization
by: Marrinan, Luke, et al.
Published: (2023) -
On the Sampling-based Computation of Nash Equilibria under Uncertainty via the Nikaido-Isoda Function
by: Marrinan, Luke, et al.
Published: (2025) -
Self-tuned Regularized Federated Methods with Guarantees for Optimal Solution Selection
by: Ebrahimi, Mohammadjavad, et al.
Published: (2025)