Cover Image

A DC Composite Optimization via Variable Smoothing for Robust Phase Retrieval with Nonconvex Loss Functions

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Yazawa, Kumataro, Kume, Keita, Yamada, Isao
Format:	Preprint
Published:	2026
Subjects:	Optimization and Control
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Variable smoothing algorithm for inner-loop-free DC composite optimizations
by: Yazawa, Kumataro, et al.
Published: (2025)

A Variable Smoothing for Weakly Convex Composite Minimization with Manifold Constraint via Parametrization
by: Kume, Keita, et al.
Published: (2024)

A Proximal Variable Smoothing for Minimization of Nonlinearly Composite Nonsmooth Function -- Maxmin Dispersion and MIMO Applications
by: Kume, Keita, et al.
Published: (2025)

A Proximal Variable Smoothing for Nonsmooth Minimization Involving Weakly Convex Composite with MIMO Application
by: Kume, Keita, et al.
Published: (2024)

Linearly involved Generalized Moreau Enhanced Model with Non-quadratic Smooth Convex Data Fidelity Functions
by: Yata, Wataru, et al.
Published: (2025)

Minimization of Nonsmooth Weakly Convex Function over Prox-regular Set for Robust Low-rank Matrix Recovery
by: Kume, Keita, et al.
Published: (2025)

A variable smoothing for Nonconvexly constrained nonsmooth optimization with application to sparse spectral clustering
by: Kume, Keita, et al.
Published: (2023)

Hierarchical Nash Equilibrium over Variational Equilibria via Fixed-point Set Expression of Quasi-nonexpansive Operator
by: Matsuo, Shota, et al.
Published: (2024)

A convexity preserving nonconvex regularization for inverse problems under non-Gaussian noise
by: Yata, Wataru, et al.
Published: (2025)

An LiGME Regularizer of Designated Isolated Minimizers -- An Application to Discrete-Valued Signal Estimation
by: Shoji, Satoshi, et al.
Published: (2025)

Hierarchical Variational Inequality Problem for Noncooperative Game-Theoretic Selection of Generalized Nash Equilibrium
by: Matsuo, Shota, et al.
Published: (2025)

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

Global Nonconvex Optimization with Integer Variables
by: Bertsimas, Dimitris, et al.
Published: (2025)

Dual Averaging Converges for Nonconvex Smooth Stochastic Optimization
by: Liu, Tuo, et al.
Published: (2025)

Noisy Pairwise-Comparison Random Search for Smooth Nonconvex Optimization
by: Bakkali, Taha El, et al.
Published: (2026)

Stochastic Optimization Schemes for Performative Prediction with Nonconvex Loss
by: Li, Qiang, et al.
Published: (2024)

Private and Robust Distributed Nonconvex Optimization via Polynomial Approximation
by: He, Zhiyu, et al.
Published: (2021)

Trust Region Methods For Nonconvex Stochastic Optimization Beyond Lipschitz Smoothness
by: Xie, Chenghan, et al.
Published: (2023)

Improving Online-to-Nonconvex Conversion for Smooth Optimization via Double Optimism
by: Patitucci, Francisco, et al.
Published: (2025)

An Inexact Proximal Linearized DC Algorithm with Provably Terminating Inner Loop
by: Zhang, Yi, et al.
Published: (2023)

Variable Smoothing Alternating Proximal Gradient Algorithm for Coupled Composite Optimization
by: Long, Xian-Jun, et al.
Published: (2025)

Using Stochastic Gradient Descent to Smooth Nonconvex Functions: Analysis of Implicit Graduated Optimization
by: Sato, Naoki, et al.
Published: (2023)

Decentralized Stochastic Nonconvex Optimization under the Relaxed Smoothness
by: Luo, Luo, et al.
Published: (2025)

On the Complexity of Decentralized Smooth Nonconvex Finite-Sum Optimization
by: Luo, Luo, et al.
Published: (2022)

Smoothing Meets Perturbation: Unified and Tight Analysis for Nonconvex-Concave Minimax Optimization
by: Li, Jiajin, et al.
Published: (2026)

Revisiting Randomized Smoothing: Nonsmooth Nonconvex Optimization Beyond Global Lipschitz Continuity
by: Xia, Jingfan, et al.
Published: (2025)

Imposing early and asymptotic constraints on LiGME with application to bivariate nonconvex enhancement of fused lasso models
by: Yata, Wataru, et al.
Published: (2023)

Smoothing Iterative Consensus-based Optimization Algorithm for Nonsmooth Nonconvex Optimization Problems with Global Optimality
by: Wei, Jiazhen, et al.
Published: (2025)

Perturbed Proximal Gradient ADMM for Nonconvex Composite Optimization
by: Zhou, Yuan, et al.
Published: (2025)

Federated Optimization of Smooth Loss Functions
by: Jadbabaie, Ali, et al.
Published: (2022)

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

Phase Retrieval Based on DC and DnCNN
by: Li, Xueming, et al.
Published: (2025)

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

Reduced-Rank Estimation for Ill-Conditioned Stochastic Linear Model with High Signal-to-Noise Ratio
by: Piotrowski, Tomasz, et al.
Published: (2024)

A Robust Compressed Push-Pull Method for Decentralized Nonconvex Optimization
by: Liao, Yiwei, et al.
Published: (2024)

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

Methods of Nonconvex Optimization
by: Mikhalevich, V. S., et al.
Published: (2024)

AC-DC Power Systems Optimization with Droop Control Smooth Approximation
by: Mohy-ud-din, Ghulam, et al.
Published: (2024)

Robust Distributed Nonconvex Optimization Enabling Communication Acceleration and Privacy Protection
by: Ou, Zichong, et al.
Published: (2026)

Adaptive Matrix Online Learning through Smoothing with Guarantees for Nonsmooth Nonconvex Optimization
by: Jiang, Ruichen, et al.
Published: (2026)