Cover Image

ADMM for Nonsmooth Composite Optimization under Orthogonality Constraints

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Yuan, Ganzhao
Format:	Preprint
Published:	2024
Subjects:	Optimization and Control
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A Block Coordinate Descent Method for Nonsmooth Composite Optimization under Orthogonality Constraints
by: Yuan, Ganzhao
Published: (2023)

ADMM for Nonconvex Optimization under Minimal Continuity Assumption
by: Yuan, Ganzhao
Published: (2024)

ADMM for Structured Fractional Minimization
by: Yuan, Ganzhao
Published: (2024)

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

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

Adaptive Lipschitz-Free Conditional Gradient Methods for Stochastic Composite Nonconvex Optimization
by: Yuan, Ganzhao
Published: (2026)

Block Coordinate Descent Methods for Structured Nonconvex Optimization with Nonseparable Constraints: Optimality Conditions and Global Convergence
by: Yuan, Zhijie, et al.
Published: (2024)

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)

OptEMA: Adaptive Exponential Moving Average for Stochastic Optimization with Zero-Noise Optimality
by: Yuan, Ganzhao
Published: (2026)

Adaptive Extrapolated Proximal Gradient Methods with Variance Reduction for Composite Nonconvex Finite-Sum Minimization
by: Yuan, Ganzhao
Published: (2025)

Primal-Dual Methods for Nonsmooth Nonconvex Optimization with Orthogonality Constraints
by: Zhu, Linglingzhi, et al.
Published: (2026)

The ADMM-PINNs Algorithmic Framework for Nonsmooth PDE-Constrained Optimization: A Deep Learning Approach
by: Song, Yongcun, et al.
Published: (2023)

Perturbed Proximal Gradient ADMM for Nonconvex Composite Optimization
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)

Heterogeneous Stochastic Momentum ADMM for Distributed Nonconvex Composite Optimization
by: Zhang, Yangming, et al.
Published: (2026)

Inexact Zeroth-Order Nonsmooth and Nonconvex Stochastic Composite Optimization and Applications
by: Pougkakiotis, Spyridon, et al.
Published: (2025)

Introduction to Nonsmooth Analysis and Optimization
by: Clason, Christian, et al.
Published: (2020)

Complexity of Linearized Perturbed Augmented Lagrangian Methods for Nonsmooth Nonconvex Optimization with Nonlinear Equality Constraints
by: Bourkhissi, Lahcen El, et al.
Published: (2025)

Zeroth-Order Methods for Stochastic Nonconvex Nonsmooth Composite Optimization
by: Chen, Ziyi, et al.
Published: (2025)

NonOpt: Nonconvex, Nonsmooth Optimizer
by: Curtis, Frank E., et al.
Published: (2025)

A Relaxation Method for Nonsmooth Nonlinear Optimization with Binary Constraints
by: Xiao, Lianghai, et al.
Published: (2026)

Infeasible Deterministic, Stochastic, and Variance-Reduction Algorithms for Optimization under Orthogonality Constraints
by: Ablin, Pierre, et al.
Published: (2023)

Subgradient Splitting Methods for Nonsmooth Fractional Programming with Fixed-Point Constraints
by: Prangprakhon, Mootta, et al.
Published: (2025)

Nonsmooth Optimization with Zeroth Order Comparison Feedback
by: Bakkali, Taha El, et al.
Published: (2026)

Subgradient Gliding Method for Nonsmooth Convex Optimization
by: Zhu, Zhihan, et al.
Published: (2026)

Subgame Perfect Methods in Nonsmooth Convex Optimization
by: Grimmer, Benjamin, et al.
Published: (2025)

The Stochastic Multi-Proximal Method for Nonsmooth Optimization
by: Condat, Laurent, et al.
Published: (2025)

An Adaptive Proximal ADMM for Nonconvex Linearly Constrained Composite Programs
by: Maia, Leandro Farias, et al.
Published: (2024)

Distributed Constraint-Coupled Optimization: Harnessing ADMM-consensus for robustness
by: Messilem, Mohamed Abdelmouamin, et al.
Published: (2025)

Convergent Proximal Multiblock ADMM for Nonconvex Dynamics-Constrained Optimization
by: Li, Bowen, et al.
Published: (2025)

A Gradient Sampling Algorithm for Noisy Nonsmooth Optimization
by: Berahas, Albert S., et al.
Published: (2026)

Second-Order Subdifferential Optimality Conditions in Nonsmooth Optimization
by: Khanh, Pham Duy, et al.
Published: (2023)

Prediction-Correction Splittings for Nonsmooth Time-Varying Optimization
by: Bastianello, Nicola, et al.
Published: (2019)

Deterministic Nonsmooth Nonconvex Optimization
by: Jordan, Michael I., et al.
Published: (2023)

A Smoothing Consensus-Based Optimization Algorithm for Nonsmooth Nonconvex Optimization
by: Wei, Jiazhen, et al.
Published: (2025)

Extended SQP Methods in Nonsmooth Difference Programming Applied to Problems with Variational Inequality Constraints
by: Mordukhovich, Boris S., et al.
Published: (2025)

Local Linear Convergence of Infeasible Optimization with Orthogonal Constraints
by: Sun, Youbang, et al.
Published: (2024)

Coderivative-Based Newton Methods with Wolfe Linesearch for Nonsmooth Optimization
by: Chao, Miantao, et al.
Published: (2024)

Stochastic Bregman Subgradient Methods for Nonsmooth Nonconvex Optimization Problems
by: Ding, Kuangyu, et al.
Published: (2024)