Image de couverture de livre

Improved Global Landscape Guarantees for Low-rank Factorization in Synchronization

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteur principal:	Ling, Shuyang
Format:	Preprint
Publié:	2026
Sujets:	Optimization and Control
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Local Geometry Determines Global Landscape in Low-rank Factorization for Synchronization
par: Ling, Shuyang
Publié: (2023)

Sharp Global Guarantees for Nonconvex Low-rank Recovery in the Noisy Overparameterized Regime
par: Zhang, Richard Y.
Publié: (2021)

Uncertainty Quantification of Spectral Estimator and MLE for Orthogonal Group Synchronization
par: Zhong, Ziliang Samuel, et autres
Publié: (2024)

Improved Global Guarantees for the Nonconvex Burer--Monteiro Factorization via Rank Overparameterization
par: Zhang, Richard Y.
Publié: (2022)

Generalized Orthogonal Procrustes Problem under Arbitrary Adversaries
par: Ling, Shuyang
Publié: (2021)

On the Exactness of SDP Relaxation for Quadratic Assignment Problem
par: Ling, Shuyang
Publié: (2024)

Guarantees of a Preconditioned Subgradient Algorithm for Overparameterized Asymmetric Low-rank Matrix Recovery
par: Giampouras, Paris, et autres
Publié: (2024)

Guarantees for Spontaneous Synchronization on Random Geometric Graphs
par: Abdalla, Pedro, et autres
Publié: (2022)

Global optimization of low-rank polynomials
par: Gaggioli, Llorenç Balada, et autres
Publié: (2025)

Exterior-point Optimization for Sparse and Low-rank Optimization
par: Gupta, Shuvomoy Das, et autres
Publié: (2020)

Federated Dynamical Low-Rank Training with Global Loss Convergence Guarantees
par: Schotthöfer, Steffen, et autres
Publié: (2024)

Tightness of SDP and Burer-Monteiro Factorization for Phase Synchronization in High-Noise Regime
par: Zhang, Anderson Ye
Publié: (2025)

Scalable Second-Order Optimization Algorithms for Minimizing Low-rank Functions
par: Tansley, Edward, et autres
Publié: (2025)

Zeroth-order Low-rank Hessian Estimation via Matrix Recovery
par: Wang, Tianyu, et autres
Publié: (2024)

Variable Landscape Search: A Novel Metaheuristic Paradigm for Unlocking Hidden Dimensions in Global Optimization
par: Mussabayev, Rustam, et autres
Publié: (2024)

Modified Line Search Sequential Quadratic Methods for Equality-Constrained Optimization with Unified Global and Local Convergence Guarantees
par: Berahas, Albert S., et autres
Publié: (2024)

Learning Neural Contracting Dynamics: Extended Linearization and Global Guarantees
par: Jaffe, Sean, et autres
Publié: (2024)

Simple Stepsize for Quasi-Newton Methods with Global Convergence Guarantees
par: Agafonov, Artem, et autres
Publié: (2025)

Well-conditioned Primal-Dual Interior-point Method for Accurate Low-rank Semidefinite Programming
par: Chiu, Hong-Ming, et autres
Publié: (2024)

Approximate Dynamic Programming with Feasibility Guarantees
par: Engelmann, Alexander, et autres
Publié: (2023)

Low-rank quaternion tensor completion for color video inpainting via a novel factorization strategy
par: Qin, Zhenzhi, et autres
Publié: (2024)

Low-rank approximated Kalman filter using Oja's principal component flow for discrete-time linear systems
par: Tsuzuki, Daiki, et autres
Publié: (2024)

Efficient Duple Perturbation Robustness in Low-rank MDPs
par: Hu, Yang, et autres
Publié: (2024)

A Mirror Descent Perspective of Smoothed Sign Descent
par: Wang, Shuyang, et autres
Publié: (2024)

Greedy Low-Rank Gradient Compression for Distributed Learning with Convergence Guarantees
par: Chen, Chuyan, et autres
Publié: (2025)

Dual Quaternion SE(3) Synchronization with Recovery Guarantees
par: Zhao, Jianing, et autres
Publié: (2026)

Low-rank approximated Kalman-Bucy filters using Oja's principal component flow for linear time-invariant systems
par: Tsuzuki, Daiki, et autres
Publié: (2024)

Improved Approximation Guarantees for Joint Replenishment in Continuous Time
par: Segev, Danny
Publié: (2024)

Riemannian Optimization for Non-convex Euclidean Distance Geometry with Global Recovery Guarantees
par: Smith, Chandler, et autres
Publié: (2024)

A Regularized Newton Method for Nonconvex Optimization with Global and Local Complexity Guarantees
par: Zhou, Yuhao, et autres
Publié: (2025)

Efficient Uncertainty Propagation with Guarantees in Wasserstein Distance
par: Figueiredo, Eduardo, et autres
Publié: (2025)

Adaptive Output Feedback MPC with Guaranteed Stability and Robustness
par: Dey, Anchita, et autres
Publié: (2025)

Optimal Control with Lyapunov Stability Guarantees for Space Applications
par: Abhijeet, et autres
Publié: (2025)

Geometric Data-Driven Dimensionality Reduction in MPC with Guarantees
par: Schurig, Roland, et autres
Publié: (2023)

In-depth Analysis of Low-rank Matrix Factorisation in a Federated Setting
par: Philippenko, Constantin, et autres
Publié: (2024)

Adaptive Constraint-Lifting Control with Stability and Invariance Guarantees
par: Delgado, Jhon Manuel Portella, et autres
Publié: (2026)

Data-Driven Performance Guarantees for Parametric Optimization Problems
par: Huang, Jingyi, et autres
Publié: (2025)

ROBBO: An Efficient Method for Pareto Front Estimation with Guaranteed Accuracy
par: Boffadossi, Roberto, et autres
Publié: (2025)

Latent Representations for Control Design with Provable Stability and Safety Guarantees
par: Lutkus, Paul, et autres
Publié: (2025)

Control Barrier Function based Attack-Recovery with Provable Guarantees
par: Garg, Kunal, et autres
Publié: (2022)