:: Library Catalog

Copertina

Salvato in:

Dettagli Bibliografici
Autori principali:	Hu, Yaohua, Wang, Hao, Yang, Xiaoqi
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Optimization and Control
Accesso online:	https://arxiv.org/abs/2603.02682
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

A Globalized Semismooth Newton Method for Prox-regular Optimization Problems
di: Wu, Yuqia, et al.
Pubblicazione: (2025)

Avoiding strict saddle points of nonconvex regularized problems
di: Bai, Luwei, et al.
Pubblicazione: (2024)

Dynamic Proximal Gradient Algorithms for Schatten-$p$ Quasi-Norm Regularized Problems
di: Shen, Weiping, et al.
Pubblicazione: (2026)

Sparse Deep Learning Models with the $\ell_1$ Regularization
di: Shen, Lixin, et al.
Pubblicazione: (2024)

An Iteratively Reweighted Method for Sparse Optimization on Nonconvex $\ell_{p}$ Ball
di: Wang, Hao, et al.
Pubblicazione: (2021)

Sparse Recovery: The Square of $\ell_1/\ell_2$ Norms
di: Jia, Jianqing, et al.
Pubblicazione: (2024)

Proximal Iterative Hard Thresholding Algorithm for Sparse Group $\ell_0$-Regularized Optimization with Box Constraint
di: Ye, Yuge, et al.
Pubblicazione: (2025)

Modified Block Newton Algorithm for $\ell_0$-Regularized Optimization
di: Ye, Yuge, et al.
Pubblicazione: (2025)

An Inexact Variable Metric Proximal Gradient-subgradient Algorithm for a Class of Fractional Optimization Problems
di: Yang, Lei, et al.
Pubblicazione: (2025)

Full Convergence of Regularized Methods for Unconstrained Optimization
di: Cristofari, Andrea
Pubblicazione: (2025)

Subspace Newton's Method for $\ell_0$-Regularized Optimization Problems with Box Constraint
di: Ye, Yuge, et al.
Pubblicazione: (2025)

Distributed Adaptive Time-Varying Optimization with Global Asymptotic Convergence
di: Jiang, Liangze, et al.
Pubblicazione: (2024)

Accelerated Proximal Dogleg Majorization for Sparse Regularized Quadratic Optimization Problem
di: Zhao, Feifei, et al.
Pubblicazione: (2025)

Alternating Iteratively Reweighted $\ell_1$ and Subspace Newton Algorithms for Nonconvex Sparse Optimization
di: Wang, Hao, et al.
Pubblicazione: (2024)

Gradient Regularized Newton Boosting Trees with Global Convergence
di: Zozoulenko, Nikita, et al.
Pubblicazione: (2026)

Sparse Recovery via $\ell_p^p/\ell_q^p$ Ratio Minimization: Theory and Algorithm
di: Yu, Lang, et al.
Pubblicazione: (2026)

Exact Decentralized Optimization via Explicit $\ell_1$ Consensus Penalties
di: Wang, Hong
Pubblicazione: (2025)

Proximity Operator of the $\ell_1$ over $\ell_2$ Function
di: Shen, Lixin, et al.
Pubblicazione: (2026)

A Regularized Hessian-Free Inexact Newton-Type Method with Global $\mathcal{O}(k^{-2})$ Convergence
di: Maia, Leandro Farias, et al.
Pubblicazione: (2026)

Lipschitz continuity of solution multifunctions of extended $\ell_1$ regularization problems
di: Meng, Kaiwen, et al.
Pubblicazione: (2024)

Inexact FPPA for the $\ell_0$ Sparse Regularization Problem
di: Fang, Ronglong, et al.
Pubblicazione: (2024)

Augmenting Iterative Trajectory for Bilevel Optimization: Methodology, Analysis and Extensions
di: Liu, Risheng, et al.
Pubblicazione: (2023)

Global Convergence of Control-Based Lagrangian Flows for Non-Convex Optimization
di: Pirrera, Simone, et al.
Pubblicazione: (2026)

On the (almost) Global Exponential Convergence of the Overparameterized Policy Optimization for the LQR Problem
di: Wafi, Moh Kamalul, et al.
Pubblicazione: (2025)

Global Convergence and Error Propagation in Neural Gradient Flows: A Riemannian Optimization Framework
di: Zheng, Shixin, et al.
Pubblicazione: (2026)

Model Consistency of the Iterative Regularization of Dual Ascent for Low-Complexity Regularization
di: Gao, Jie, et al.
Pubblicazione: (2025)

INTHOP: A Second-Order Globally Convergent Method for Nonconvex Optimization
di: Kumar, Krishan, et al.
Pubblicazione: (2025)

Global Convergence of High-Order Regularization Methods with Sums-of-Squares Taylor Models
di: Zhu, Wenqi, et al.
Pubblicazione: (2024)

Towards An Efficient Approach for the Nonconvex $\ell_p$ Ball Projection: Algorithm and Analysis
di: Yang, Xiangyu, et al.
Pubblicazione: (2021)

Hands-Off Covariance Steering: Inducing Feedback Sparsity via Iteratively Reweighted $\ell_{1,p}$ Regularization
di: Kumagai, Naoya, et al.
Pubblicazione: (2025)

Improving Generalization and Convergence by Enhancing Implicit Regularization
di: Wang, Mingze, et al.
Pubblicazione: (2024)

Convergence analysis of linearized $\ell_q$ penalty methods for nonconvex optimization with nonlinear equality constraints
di: Bourkhissi, Lahcen El, et al.
Pubblicazione: (2025)

Multilevel Regularized Newton Methods with Fast Convergence Rates
di: Tsipinakis, Nick, et al.
Pubblicazione: (2024)

Smoothing the Edges: Smooth Optimization for Sparse Regularization using Hadamard Overparametrization
di: Kolb, Chris, et al.
Pubblicazione: (2023)

Complexity Analysis of the Regular Simplicial Search Method with Reflection and Shrinking Steps for Derivative-Free Optimization
di: Cao, Liyuan, et al.
Pubblicazione: (2025)

An Abstract Lyapunov Control Optimizer: Local Stabilization and Global Convergence
di: Bensaid, Bilel, et al.
Pubblicazione: (2024)

Complexity of Classical Acceleration for $\ell_1$-Regularized PageRank
di: Fountoulakis, Kimon, et al.
Pubblicazione: (2026)

Locally Regularized Sparse Graph by Fast Proximal Gradient Descent
di: Sun, Dongfang, et al.
Pubblicazione: (2024)

Near-Linear Time Projection onto the $\ell_{1,\infty}$ Ball; Application to Sparse Autoencoders
di: Perez, Guillaume, et al.
Pubblicazione: (2023)

Global Convergence and Rate Analysis of the Steepest Descent Method for Uncertain Multiobjective Optimization via a Robust Optimization Approach
di: Kumar, Shubham, et al.
Pubblicazione: (2025)