Cover Image

Convergence Analysis of Reshaped Wirtinger Flow with Random Initialization for Phase Retrieval

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Li, Linbin, Peng, Haiyang, Xia, Yong, Huang, Meng
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

Noisy phase retrieval from subgaussian measurements
by: Peng, Haiyang, et al.
Published: (2024)

Global Convergence of Four-Layer Matrix Factorization under Random Initialization
by: Luo, Minrui, et al.
Published: (2025)

Robust Sparse Phase Retrieval: Statistical Guarantee, Optimality Theory and Convergent Algorithm
by: Fan, Jun, et al.
Published: (2025)

Convergence Analysis of an Adaptive Nonconforming FEM for Phase-Field Dependent Topology Optimization in Stokes Flow
by: Jin, Bangti, et al.
Published: (2025)

GANs as Gradient Flows that Converge
by: Huang, Yu-Jui, et al.
Published: (2022)

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

On Exponential Convergence of Random Variables
by: Tarłowski, Dawid
Published: (2024)

Joint Oscillation Damping and Inertia Provision Service for Converter-Interfaced Generation
by: Feng, Cheng, et al.
Published: (2023)

Direct Adaptive Control of Grid-Connected Power Converters via Output-Feedback Data-Enabled Policy Optimization
by: Zhao, Feiran, et al.
Published: (2024)

Stability and Convergence of a Randomized Model Predictive Control Strategy
by: Veldman, Daniël, et al.
Published: (2022)

Adaptive Algorithms for Robust Phase Retrieval
by: Zheng, Zhong, et al.
Published: (2024)

Random Sparse Lifts: Construction, Analysis and Convergence of finite sparse networks
by: Robin, David A. R., et al.
Published: (2025)

Convergence of Gradient Descent with Small Initialization for Unregularized Matrix Completion
by: Ma, Jianhao, et al.
Published: (2024)

On Diagonalizable Systems with Random Structure
by: Zhang, Yuan, et al.
Published: (2026)

Feasible-Set Reshaping for Constraint Qualification in Optimization-Based Control
by: Wu, Si, et al.
Published: (2025)

Almost-Surely Convergent Randomly Activated Monotone Operator Splitting Methods
by: Combettes, Patrick L., et al.
Published: (2024)

Convergence Rate Analysis of SOAP with Arbitrary Orthogonal Projection Matrices
by: Li, Huan, et al.
Published: (2026)

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

Regret Analysis with Almost Sure Convergence for OBF-ARX Filter
by: Li, Jiayun, et al.
Published: (2024)

Early Directional Convergence in Deep Homogeneous Neural Networks for Small Initializations
by: Kumar, Akshay, et al.
Published: (2024)

Nesterov Flow May Travel Infinitely Long to Converge to a Minimizer
by: Ryu, Ernest K.
Published: (2026)

Randomized Subspace Derivative-Free Optimization with Quadratic Models and Second-Order Convergence
by: Cartis, Coralia, et al.
Published: (2024)

Global Convergence of Oja's Component Flow for General Square Matrices and Its Applications
by: Tsuzuki, Daiki, et al.
Published: (2025)

SLRQA: A Sparse Low-Rank Quaternion Model for Color Image Processing with Convergence Analysis
by: Deng, Zhanwang, et al.
Published: (2024)

Distributed Random Reshuffling Methods with Improved Convergence
by: Huang, Kun, et al.
Published: (2023)

Fundamental Convergence Analysis of Sharpness-Aware Minimization
by: Khanh, Pham Duy, et al.
Published: (2024)

Directional Convergence Near Small Initializations and Saddles in Two-Homogeneous Neural Networks
by: Kumar, Akshay, et al.
Published: (2024)

Convergence Rate Analysis of LION
by: Dong, Yiming, et al.
Published: (2024)

On the Convergence Analysis of Muon
by: Shen, Wei, et al.
Published: (2025)

Approximately Gaussian Replicator Flows: Nonconvex Optimization as a Nash-Convergent Evolutionary Game
by: Anderson, Brendon G., et al.
Published: (2024)

Prox-DBRO-VR: A Unified Analysis on Byzantine-Resilient Decentralized Stochastic Composite Optimization with Variance Reduction and Non-Asymptotic Convergence Rates
by: Hu, Jinhui, et al.
Published: (2023)

Convergence Analysis of EXTRA in Non-convex Distributed Optimization
by: Qin, Lei, et al.
Published: (2025)

Convergence Analysis of Distributed Optimization: A Dissipativity Framework
by: Karakai, Aron, et al.
Published: (2025)

Multilevel Optimization: Geometric Coarse Models and Convergence Analysis
by: Vanmaele, Ferdinand, et al.
Published: (2025)

Solving separable convex optimization problems: Faster prediction-correction framework
by: Zhang, Tao, et al.
Published: (2023)

Policy Optimization with Differentiable MPC: Convergence Analysis under Uncertainty
by: Zuliani, Riccardo, et al.
Published: (2026)

A Note on the Convergence of Muon
by: Li, Jiaxiang, et al.
Published: (2025)

Physics-Informed Neural Network Policy Iteration: Algorithms, Convergence, and Verification
by: Meng, Yiming, et al.
Published: (2024)

Linear Convergence Analysis of Single-loop Algorithm for Bilevel Optimization via Small-gain Theorem
by: Li, Jianhui, et al.
Published: (2024)

On the Convergence Analysis of an Inexact Preconditioned Stochastic Model-Based Algorithm
by: Bao, Chenglong, et al.
Published: (2025)