Cover Image

Stochastic ADMM with batch size adaptation for nonconvex nonsmooth optimization

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Jin, Jiachen, Deng, Kangkang, Wang, Boyu, Wang, Hongxia
Format:	Preprint
Published:	2025
Subjects:	Optimization and Control
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Stochastic momentum ADMM for nonconvex and nonsmooth optimization with application to PnP algorithm
by: Deng, Kangkang, et al.
Published: (2025)

A Single-loop Stochastic Riemannian ADMM for Nonsmooth Optimization
by: Jin, Jiachen, et al.
Published: (2025)

Adaptive Riemannian ADMM for Nonsmooth Optimization: Optimal Complexity without Smoothing
by: Deng, Kangkang, et al.
Published: (2025)

Anderson acceleration of derivative-free projection methods for constrained monotone nonlinear equations
by: Jin, Jiachen, et al.
Published: (2024)

Convergence rates for an inexact linearized ADMM for nonsmooth nonconvex optimization with nonlinear equality constraints
by: Bourkhissi, Lahcen El, et al.
Published: (2025)

Single-loop $\mathcal{O}(ε^{-3})$ stochastic smoothing algorithms for nonsmooth Riemannian optimization
by: Deng, Kangkang, et al.
Published: (2025)

Extended alternating structure-adapted proximal gradient algorithm for nonconvex nonsmooth problems
by: Gao, Ying, et al.
Published: (2024)

Subgradient sampling for nonsmooth nonconvex minimization
by: Bolte, Jérôme, et al.
Published: (2022)

Variable Bregman Majorization-Minimization algorithms for nonconvex nonsmooth optimization, with application to Poisson imaging
by: Adly, Maxence, et al.
Published: (2026)

An effective subgradient algorithm via Mifflin's line search for nonsmooth nonconvex multiobjective optimization
by: Maleknia, Morteza, et al.
Published: (2024)

An inertial ADMM for a class of nonconvex composite optimization with nonlinear coupling constraints
by: Hien, Le Thi Khanh, et al.
Published: (2022)

A theory on the absence of spurious solutions for nonconvex and nonsmooth optimization
by: Josz, Cedric, et al.
Published: (2018)

Block majorization-minimization with diminishing radius for constrained nonsmooth nonconvex optimization
by: Lyu, Hanbaek, et al.
Published: (2020)

Convergence for nonconvex ADMM, with applications to CT imaging
by: Barber, Rina Foygel, et al.
Published: (2020)

A consensus-based optimization method for nonsmooth nonconvex programs with approximated gradient descent scheme
by: Wei, Jiazhen, et al.
Published: (2025)

Second-order methods for provably escaping strict saddle points in composite nonconvex and nonsmooth optimization
by: Bodard, Alexander, et al.
Published: (2025)

Phase retrieval via overparametrized nonconvex optimization: nonsmooth amplitude loss landscapes
by: McRae, Andrew D.
Published: (2025)

Decentralized projected Riemannian stochastic recursive momentum method for nonconvex optimization
by: Deng, Kangkang, et al.
Published: (2024)

A four-operator splitting algorithm for nonconvex and nonsmooth optimization
by: Alcantara, Jan Harold, et al.
Published: (2024)

Stochastic smoothing accelerated gradient method for general constrained nonsmooth convex composite optimization
by: Wang, Ruyu, et al.
Published: (2023)

Improving the communication in decentralized manifold optimization through single-step consensus and compression
by: Hu, Jiang, et al.
Published: (2024)

General Proximal Quasi-Newton Methods based on model functions for nonsmooth nonconvex problems
by: Jia, Xiaoxi
Published: (2025)

Faster Stochastic ADMM for Nonsmooth Composite Convex Optimization in Hilbert Space
by: Deng, Weihua, et al.
Published: (2026)

Stochastic halfspace approximation method for convex optimization with nonsmooth functional constraints
by: Singh, Nitesh Kumar, et al.
Published: (2024)

Hypodifferentials of nonsmooth convex functions and their applications to nonsmooth convex optimization
by: Dolgopolik, M. V.
Published: (2023)

Adaptive directional decomposition methods for nonconvex constrained optimization
by: Shi, Qiankun, et al.
Published: (2025)

An implementable proximal-type method for computing critical points to minimization problems with a nonsmooth and nonconvex constraint
by: Sempere, Gregorio M., et al.
Published: (2024)

On a globally convergent semismooth* Newton method in nonsmooth nonconvex optimization
by: Gfrerer, H.
Published: (2024)

A multilevel proximal trust-region method for nonsmooth optimization with applications
by: Baraldi, Robert, et al.
Published: (2025)

A Unified Inexact Stochastic ADMM for Composite Nonconvex and Nonsmooth Optimization
by: Zeng, Yuxuan, et al.
Published: (2024)

Certifying optimality in nonconvex robust PCA
by: Gong, Pinxi, et al.
Published: (2026)

Local adapt-then-combine algorithms for distributed nonsmooth optimization: Achieving provable communication acceleration
by: Guo, Luyao, et al.
Published: (2026)

A single-loop SPIDER-type stochastic subgradient method for expectation-constrained nonconvex nonsmooth optimization
by: Liu, Wei, et al.
Published: (2025)

A projection-free dynamics for nonsmooth composite optimization
by: Ni, Wei, et al.
Published: (2025)

Relations between nonsmooth vector variational inequalities and nonsmooth vector optimization problems on Hadamard manifold in terms of bifunction
by: Singh, Nagendra, et al.
Published: (2024)

Oracle complexities of augmented Lagrangian methods for nonsmooth manifold optimization
by: Deng, Kangkang, et al.
Published: (2024)

Projected proximal gradient trust-region algorithm for nonsmooth optimization
by: Dao, Minh N., et al.
Published: (2025)

On some perturbation properties of nonsmooth optimization on Riemannian manifolds with applications
by: Zhou, Yuexin, et al.
Published: (2023)

Global self-optimizing control of batch processes
by: Zhou, Chenchen, et al.
Published: (2026)

Simple linesearch-free first-order methods for nonconvex optimization
by: Yagishita, Shotaro, et al.
Published: (2025)