A Unified Inexact Stochastic ADMM for Composite Nonconvex and Nonsmooth Optimization
Fuente:
arXiv
Saved in:
| Main Authors: | Zeng, Yuxuan, Bai, Jianchao, Wang, Shengjia, Wang, Zhiguo |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
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)
Faster Stochastic ADMM for Nonsmooth Composite Convex Optimization in Hilbert Space
by: Deng, Weihua, et al.
Published: (2026)
by: Deng, Weihua, et al.
Published: (2026)
A Single-loop Stochastic Riemannian ADMM for Nonsmooth Optimization
by: Jin, Jiachen, et al.
Published: (2025)
by: Jin, Jiachen, et al.
Published: (2025)
Heterogeneous Stochastic Momentum ADMM for Distributed Nonconvex Composite Optimization
by: Zhang, Yangming, et al.
Published: (2026)
by: Zhang, Yangming, et al.
Published: (2026)
Zeroth-Order Methods for Stochastic Nonconvex Nonsmooth Composite Optimization
by: Chen, Ziyi, et al.
Published: (2025)
by: Chen, Ziyi, et al.
Published: (2025)
ADMM for Nonsmooth Composite Optimization under Orthogonality Constraints
by: Yuan, Ganzhao
Published: (2024)
by: Yuan, Ganzhao
Published: (2024)
Perturbed Proximal Gradient ADMM for Nonconvex Composite Optimization
by: Zhou, Yuan, et al.
Published: (2025)
by: Zhou, Yuan, et al.
Published: (2025)
An Efficient ADMM Method for Ratio-Type Nonconvex and Nonsmooth Minimization in Sparse Recovery
by: Yu, Lang, et al.
Published: (2025)
by: Yu, Lang, et al.
Published: (2025)
Stochastic Bregman Subgradient Methods for Nonsmooth Nonconvex Optimization Problems
by: Ding, Kuangyu, et al.
Published: (2024)
by: Ding, Kuangyu, et al.
Published: (2024)
NonOpt: Nonconvex, Nonsmooth Optimizer
by: Curtis, Frank E., et al.
Published: (2025)
by: Curtis, Frank E., et al.
Published: (2025)
A Bregman Proximal Stochastic Gradient Method with Extrapolation for Nonconvex Nonsmooth Problems
by: Wang, Qingsong, et al.
Published: (2024)
by: Wang, Qingsong, et al.
Published: (2024)
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)
Faster Gradient-Free Algorithms for Nonsmooth Nonconvex Stochastic Optimization
by: Chen, Lesi, et al.
Published: (2023)
by: Chen, Lesi, et al.
Published: (2023)
Adaptive Riemannian ADMM for Nonsmooth Optimization: Optimal Complexity without Smoothing
by: Deng, Kangkang, et al.
Published: (2025)
by: Deng, Kangkang, et al.
Published: (2025)
Deterministic Nonsmooth Nonconvex Optimization
by: Jordan, Michael I., et al.
Published: (2023)
by: Jordan, Michael I., et al.
Published: (2023)
An Inexact Proximal Framework for Nonsmooth Riemannian Difference-of-Convex Optimization
by: Jiang, Bo, et al.
Published: (2025)
by: Jiang, Bo, et al.
Published: (2025)
Nonconvex Nonsmooth Multicomposite Optimization and Its Applications to Recurrent Neural Networks
by: Jin, Lingzi, et al.
Published: (2025)
by: Jin, Lingzi, et al.
Published: (2025)
Finite-Time Analysis of Stochastic Nonconvex Nonsmooth Optimization on the Riemannian Manifolds
by: Sahinoglu, Emre, et al.
Published: (2025)
by: Sahinoglu, Emre, et al.
Published: (2025)
A Learning-Based Inexact ADMM for Solving Quadratic Programs
by: Gao, Xi, et al.
Published: (2025)
by: Gao, Xi, et al.
Published: (2025)
An Adaptive Proximal ADMM for Nonconvex Linearly Constrained Composite Programs
by: Maia, Leandro Farias, et al.
Published: (2024)
by: Maia, Leandro Farias, et al.
Published: (2024)
ADMM for Nonconvex Optimization under Minimal Continuity Assumption
by: Yuan, Ganzhao
Published: (2024)
by: Yuan, Ganzhao
Published: (2024)
A Smoothing Consensus-Based Optimization Algorithm for Nonsmooth Nonconvex Optimization
by: Wei, Jiazhen, et al.
Published: (2025)
by: Wei, Jiazhen, et al.
Published: (2025)
A Newton-Like Dynamical System for Nonsmooth and Nonconvex Optimization
by: Garrido, Juan Guillermo, et al.
Published: (2024)
by: Garrido, Juan Guillermo, et al.
Published: (2024)
A Hybrid Subgradient Method for Nonsmooth Nonconvex Bilevel Optimization
by: Xiao, Nachuan, et al.
Published: (2025)
by: Xiao, Nachuan, et al.
Published: (2025)
An Algorithm with Optimal Dimension-Dependence for Zero-Order Nonsmooth Nonconvex Stochastic Optimization
by: Kornowski, Guy, et al.
Published: (2023)
by: Kornowski, Guy, et al.
Published: (2023)
Online Optimization Perspective on First-Order and Zero-Order Decentralized Nonsmooth Nonconvex Stochastic Optimization
by: Sahinoglu, Emre, et al.
Published: (2024)
by: Sahinoglu, Emre, et al.
Published: (2024)
A New Inexact Gradient Descent Method with Applications to Nonsmooth Convex Optimization
by: Khanh, Pham Duy, et al.
Published: (2023)
by: Khanh, Pham Duy, et al.
Published: (2023)
On the (linear) convergence of Generalized Newton Inexact ADMM
by: Frangella, Zachary, et al.
Published: (2023)
by: Frangella, Zachary, et al.
Published: (2023)
Variational Analysis of a Nonconvex and Nonsmooth Optimization Problem: An Introduction
by: Royset, Johannes O.
Published: (2024)
by: Royset, Johannes O.
Published: (2024)
Coderivative-Based Newton Methods in Structured Nonconvex and Nonsmooth Optimization
by: Khanh, Pham Duy, et al.
Published: (2024)
by: Khanh, Pham Duy, et al.
Published: (2024)
Nonsmooth Nonconvex-Concave Minimax Optimization: Convergence Criteria and Algorithms
by: Shi, Jinyang, et al.
Published: (2026)
by: Shi, Jinyang, et al.
Published: (2026)
Stochastic Subgradient Methods with Guaranteed Global Stability in Nonsmooth Nonconvex Optimization
by: Xiao, Nachuan, et al.
Published: (2023)
by: Xiao, Nachuan, et al.
Published: (2023)
Distributed Derivative-Free Optimization Using Inexact ADMM and Trust-Region Methods
by: Fasiku, Damilola, et al.
Published: (2025)
by: Fasiku, Damilola, et al.
Published: (2025)
SUN-DSBO: A Structured Unified Framework for Nonconvex Decentralized Stochastic Bilevel Optimization
by: Ma, Yaoshuai, et al.
Published: (2026)
by: Ma, Yaoshuai, et al.
Published: (2026)
An Adaptive Proximal Point Method for Nonsmooth and Nonconvex Optimization on Hadamard Manifolds
by: Amaral, Vitaliano S., et al.
Published: (2025)
by: Amaral, Vitaliano S., et al.
Published: (2025)
On the Oracle Complexity of a Riemannian Inexact Augmented Lagrangian Method for Riemannian Nonsmooth Composite Problems
by: Xu, Meng, et al.
Published: (2024)
by: Xu, Meng, et al.
Published: (2024)
Developing Lagrangian-based Methods for Nonsmooth Nonconvex Optimization
by: Xiao, Nachuan, et al.
Published: (2024)
by: Xiao, Nachuan, et al.
Published: (2024)
Proximal Dogleg Opportunistic Majorization for Nonconvex and Nonsmooth Optimization
by: Zhou, Yiming, et al.
Published: (2024)
by: Zhou, Yiming, et al.
Published: (2024)
On the Hardness of Meaningful Local Guarantees in Nonsmooth Nonconvex Optimization
by: Kornowski, Guy, et al.
Published: (2024)
by: Kornowski, Guy, et al.
Published: (2024)
Convergence of Decentralized Stochastic Subgradient-based Methods for Nonsmooth Nonconvex functions
by: Zhang, Siyuan, et al.
Published: (2024)
by: Zhang, Siyuan, et al.
Published: (2024)
Similar Items
-
Inexact Zeroth-Order Nonsmooth and Nonconvex Stochastic Composite Optimization and Applications
by: Pougkakiotis, Spyridon, et al.
Published: (2025) -
Faster Stochastic ADMM for Nonsmooth Composite Convex Optimization in Hilbert Space
by: Deng, Weihua, et al.
Published: (2026) -
A Single-loop Stochastic Riemannian ADMM for Nonsmooth Optimization
by: Jin, Jiachen, et al.
Published: (2025) -
Heterogeneous Stochastic Momentum ADMM for Distributed Nonconvex Composite Optimization
by: Zhang, Yangming, et al.
Published: (2026) -
Zeroth-Order Methods for Stochastic Nonconvex Nonsmooth Composite Optimization
by: Chen, Ziyi, et al.
Published: (2025)