Saved in:
| Main Author: | Ling, Shuyang |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2601.20292 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Local Geometry Determines Global Landscape in Low-rank Factorization for Synchronization
by: Ling, Shuyang
Published: (2023)
by: Ling, Shuyang
Published: (2023)
Uncertainty Quantification of Spectral Estimator and MLE for Orthogonal Group Synchronization
by: Zhong, Ziliang Samuel, et al.
Published: (2024)
by: Zhong, Ziliang Samuel, et al.
Published: (2024)
Sharp Global Guarantees for Nonconvex Low-rank Recovery in the Noisy Overparameterized Regime
by: Zhang, Richard Y.
Published: (2021)
by: Zhang, Richard Y.
Published: (2021)
Improved Global Guarantees for the Nonconvex Burer--Monteiro Factorization via Rank Overparameterization
by: Zhang, Richard Y.
Published: (2022)
by: Zhang, Richard Y.
Published: (2022)
Generalized Orthogonal Procrustes Problem under Arbitrary Adversaries
by: Ling, Shuyang
Published: (2021)
by: Ling, Shuyang
Published: (2021)
On the Exactness of SDP Relaxation for Quadratic Assignment Problem
by: Ling, Shuyang
Published: (2024)
by: Ling, Shuyang
Published: (2024)
Guarantees for Spontaneous Synchronization on Random Geometric Graphs
by: Abdalla, Pedro, et al.
Published: (2022)
by: Abdalla, Pedro, et al.
Published: (2022)
Guarantees of a Preconditioned Subgradient Algorithm for Overparameterized Asymmetric Low-rank Matrix Recovery
by: Giampouras, Paris, et al.
Published: (2024)
by: Giampouras, Paris, et al.
Published: (2024)
Global optimization of low-rank polynomials
by: Gaggioli, Llorenç Balada, et al.
Published: (2025)
by: Gaggioli, Llorenç Balada, et al.
Published: (2025)
Federated Dynamical Low-Rank Training with Global Loss Convergence Guarantees
by: Schotthöfer, Steffen, et al.
Published: (2024)
by: Schotthöfer, Steffen, et al.
Published: (2024)
Exterior-point Optimization for Sparse and Low-rank Optimization
by: Gupta, Shuvomoy Das, et al.
Published: (2020)
by: Gupta, Shuvomoy Das, et al.
Published: (2020)
Tightness of SDP and Burer-Monteiro Factorization for Phase Synchronization in High-Noise Regime
by: Zhang, Anderson Ye
Published: (2025)
by: Zhang, Anderson Ye
Published: (2025)
Scalable Second-Order Optimization Algorithms for Minimizing Low-rank Functions
by: Tansley, Edward, et al.
Published: (2025)
by: Tansley, Edward, et al.
Published: (2025)
Zeroth-order Low-rank Hessian Estimation via Matrix Recovery
by: Wang, Tianyu, et al.
Published: (2024)
by: Wang, Tianyu, et al.
Published: (2024)
Learning Neural Contracting Dynamics: Extended Linearization and Global Guarantees
by: Jaffe, Sean, et al.
Published: (2024)
by: Jaffe, Sean, et al.
Published: (2024)
Simple Stepsize for Quasi-Newton Methods with Global Convergence Guarantees
by: Agafonov, Artem, et al.
Published: (2025)
by: Agafonov, Artem, et al.
Published: (2025)
Dual Quaternion SE(3) Synchronization with Recovery Guarantees
by: Zhao, Jianing, et al.
Published: (2026)
by: Zhao, Jianing, et al.
Published: (2026)
A Mirror Descent Perspective of Smoothed Sign Descent
by: Wang, Shuyang, et al.
Published: (2024)
by: Wang, Shuyang, et al.
Published: (2024)
Variable Landscape Search: A Novel Metaheuristic Paradigm for Unlocking Hidden Dimensions in Global Optimization
by: Mussabayev, Rustam, et al.
Published: (2024)
by: Mussabayev, Rustam, et al.
Published: (2024)
Modified Line Search Sequential Quadratic Methods for Equality-Constrained Optimization with Unified Global and Local Convergence Guarantees
by: Berahas, Albert S., et al.
Published: (2024)
by: Berahas, Albert S., et al.
Published: (2024)
Efficient Duple Perturbation Robustness in Low-rank MDPs
by: Hu, Yang, et al.
Published: (2024)
by: Hu, Yang, et al.
Published: (2024)
Approximate Dynamic Programming with Feasibility Guarantees
by: Engelmann, Alexander, et al.
Published: (2023)
by: Engelmann, Alexander, et al.
Published: (2023)
Improved Approximation Guarantees for Joint Replenishment in Continuous Time
by: Segev, Danny
Published: (2024)
by: Segev, Danny
Published: (2024)
Low-rank approximated Kalman filter using Oja's principal component flow for discrete-time linear systems
by: Tsuzuki, Daiki, et al.
Published: (2024)
by: Tsuzuki, Daiki, et al.
Published: (2024)
Well-conditioned Primal-Dual Interior-point Method for Accurate Low-rank Semidefinite Programming
by: Chiu, Hong-Ming, et al.
Published: (2024)
by: Chiu, Hong-Ming, et al.
Published: (2024)
Greedy Low-Rank Gradient Compression for Distributed Learning with Convergence Guarantees
by: Chen, Chuyan, et al.
Published: (2025)
by: Chen, Chuyan, et al.
Published: (2025)
Riemannian Optimization for Non-convex Euclidean Distance Geometry with Global Recovery Guarantees
by: Smith, Chandler, et al.
Published: (2024)
by: Smith, Chandler, et al.
Published: (2024)
A Regularized Newton Method for Nonconvex Optimization with Global and Local Complexity Guarantees
by: Zhou, Yuhao, et al.
Published: (2025)
by: Zhou, Yuhao, et al.
Published: (2025)
Low-rank approximated Kalman-Bucy filters using Oja's principal component flow for linear time-invariant systems
by: Tsuzuki, Daiki, et al.
Published: (2024)
by: Tsuzuki, Daiki, et al.
Published: (2024)
Efficient Uncertainty Propagation with Guarantees in Wasserstein Distance
by: Figueiredo, Eduardo, et al.
Published: (2025)
by: Figueiredo, Eduardo, et al.
Published: (2025)
Low-rank quaternion tensor completion for color video inpainting via a novel factorization strategy
by: Qin, Zhenzhi, et al.
Published: (2024)
by: Qin, Zhenzhi, et al.
Published: (2024)
Guaranteed Nonconvex Factorization Approach for Tensor Train Recovery
by: Qin, Zhen, et al.
Published: (2024)
by: Qin, Zhen, et al.
Published: (2024)
Nonconvex Factorization and Manifold Formulations are Almost Equivalent in Low-rank Matrix Optimization
by: Luo, Yuetian, et al.
Published: (2021)
by: Luo, Yuetian, et al.
Published: (2021)
Adaptive Output Feedback MPC with Guaranteed Stability and Robustness
by: Dey, Anchita, et al.
Published: (2025)
by: Dey, Anchita, et al.
Published: (2025)
Optimal Control with Lyapunov Stability Guarantees for Space Applications
by: Abhijeet, et al.
Published: (2025)
by: Abhijeet, et al.
Published: (2025)
Geometric Data-Driven Dimensionality Reduction in MPC with Guarantees
by: Schurig, Roland, et al.
Published: (2023)
by: Schurig, Roland, et al.
Published: (2023)
In-depth Analysis of Low-rank Matrix Factorisation in a Federated Setting
by: Philippenko, Constantin, et al.
Published: (2024)
by: Philippenko, Constantin, et al.
Published: (2024)
Global Convergence Guarantees for Federated Policy Gradient Methods with Adversaries
by: Ganesh, Swetha, et al.
Published: (2024)
by: Ganesh, Swetha, et al.
Published: (2024)
Improved Approximation Guarantees and Hardness Results for MNL-Driven Product Ranking
by: Segev, Danny, et al.
Published: (2025)
by: Segev, Danny, et al.
Published: (2025)
Optimization over Sparse Support-Preserving Sets: Two-Step Projection with Global Optimality Guarantees
by: de Vazelhes, William, et al.
Published: (2025)
by: de Vazelhes, William, et al.
Published: (2025)
Similar Items
-
Local Geometry Determines Global Landscape in Low-rank Factorization for Synchronization
by: Ling, Shuyang
Published: (2023) -
Uncertainty Quantification of Spectral Estimator and MLE for Orthogonal Group Synchronization
by: Zhong, Ziliang Samuel, et al.
Published: (2024) -
Sharp Global Guarantees for Nonconvex Low-rank Recovery in the Noisy Overparameterized Regime
by: Zhang, Richard Y.
Published: (2021) -
Improved Global Guarantees for the Nonconvex Burer--Monteiro Factorization via Rank Overparameterization
by: Zhang, Richard Y.
Published: (2022) -
Generalized Orthogonal Procrustes Problem under Arbitrary Adversaries
by: Ling, Shuyang
Published: (2021)