Copertina

Linearly involved Generalized Moreau Enhanced Model with Non-quadratic Smooth Convex Data Fidelity Functions

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Yata, Wataru, Kume, Keita, Yamada, Isao
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Optimization and Control
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

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

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

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

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

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

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

A DC Composite Optimization via Variable Smoothing for Robust Phase Retrieval with Nonconvex Loss Functions
di: Yazawa, Kumataro, et al.
Pubblicazione: (2026)

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

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

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

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

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

Piecewise Linearity of Min-Norm Solution Map of a Nonconvexly Regularized Convex Sparse Model
di: Zhang, Yi, et al.
Pubblicazione: (2023)

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

On Convergence of Incremental Gradient for Non-Convex Smooth Functions
di: Koloskova, Anastasia, et al.
Pubblicazione: (2023)

Laplace Meets Moreau: Smooth Approximation to Infimal Convolutions Using Laplace's Method
di: Tibshirani, Ryan J., et al.
Pubblicazione: (2024)

Inexact Moreau Envelope Lagrangian Method for Non-Convex Constrained Optimization under Local Error Bound Conditions on Constraint Functions
di: Huang, Yankun, et al.
Pubblicazione: (2025)

The Optimal Smoothings of Sublinear Functions and Convex Cones
di: Samakhoana, Thabo, et al.
Pubblicazione: (2025)

Equilibrium Invariance, Proximality, and Surrogation: Moreau-Smoothed Best-Response Pathways in Stochastic Nonsmooth Games
di: Xiao, Zhuoyu, et al.
Pubblicazione: (2026)

Stochastic Non-Smooth Non-Convex Optimization with Decision-Dependent Distributions
di: Liu, Chengchang, et al.
Pubblicazione: (2026)

Sparse Regularization by Smooth Non-separable Non-convex Penalty Function Based on Ultra-discretization Formula
di: Akaishi, Natsuki, et al.
Pubblicazione: (2025)

Locally Linear Convergence for Nonsmooth Convex Optimization via Coupled Smoothing and Momentum
di: Baghbadorani, Reza Rahimi, et al.
Pubblicazione: (2025)

Stochastic Decentralized Optimization of Non-Smooth Convex and Convex-Concave Problems over Time-Varying Networks
di: Divilkovskiy, Maxim, et al.
Pubblicazione: (2025)

Prediction-Correction Algorithm for Time-Varying Smooth Non-Convex Optimization
di: Iwakiri, Hidenori, et al.
Pubblicazione: (2024)

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

A Note on Complexity for Two Classes of Structured Non-Smooth Non-Convex Compositional Optimization
di: Yao, Yao, et al.
Pubblicazione: (2024)

Last Iterate Convergence of AdaGrad-Norm for Convex Non-Smooth Optimization
di: Preobrazhenskaia, Margarita, et al.
Pubblicazione: (2026)

Convergence of Clipped SGD on Convex $(L_0,L_1)$-Smooth Functions
di: Gaash, Ofir, et al.
Pubblicazione: (2025)

Penalty-Based Smoothing of Convex Nonsmooth Supremum Functions with Accelerated Inertial Dynamics
di: Adly, Samir, et al.
Pubblicazione: (2026)

Solving Convex Smooth Function Constrained Optimization Is Almost As Easy As Unconstrained Optimization
di: Zhang, Zhe, et al.
Pubblicazione: (2022)

Moreau Envelope-Based Clustering for Generalized Multi-Source Weber Problem
di: Van, Nguyen Thi Thu
Pubblicazione: (2026)

Monotone Lipschitz-Gradient Denoiser: Explainability of Operator Regularization Approaches Free From Lipschitz Constant Control
di: Yukawa, Masahiro, et al.
Pubblicazione: (2024)

Stochastic Non-Smooth Convex Optimization with Unbounded Gradients
di: Kovalev, Dmitry
Pubblicazione: (2026)

Smoothed Moreau-Yosida Tensor Train Approximation of State-constrained Optimization Problems under Uncertainty
di: Antil, Harbir, et al.
Pubblicazione: (2023)

On the Moreau envelope properties of weakly convex functions
di: Renaud, Marien, et al.
Pubblicazione: (2025)

Methods with Local Steps and Random Reshuffling for Generally Smooth Non-Convex Federated Optimization
di: Demidovich, Yury, et al.
Pubblicazione: (2024)

Distributed Stochastic Optimization for Non-Smooth and Weakly Convex Problems under Heavy-Tailed Noise
di: Hu, Jun, et al.
Pubblicazione: (2025)

Gradient Descent for Convex and Smooth Noisy Optimization
di: Hu, Feifei, et al.
Pubblicazione: (2024)

Power of Generalized Smoothness in Stochastic Convex Optimization: First- and Zero-Order Algorithms
di: Lobanov, Aleksandr, et al.
Pubblicazione: (2025)

The Fastest Known First-Order Method for Minimizing Twice Continuously Differentiable Smooth Strongly Convex Functions
di: Van Scoy, Bryan, et al.
Pubblicazione: (2025)