Cover Image

Burer-Monteiro factorizability of nuclear norm regularized optimization

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ouyang, Wenqing, Pong, Ting Kei, Yue, Man-Chung
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

Accelerating nuclear-norm regularized low-rank matrix optimization through Burer-Monteiro decomposition
by: Lee, Ching-pei, et al.
Published: (2022)

Subdifferentially polynomially bounded functions and Gaussian smoothing-based zeroth-order optimization
by: Lei, Ming, et al.
Published: (2024)

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

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

Preconditioned Gradient Descent for Overparameterized Nonconvex Burer--Monteiro Factorization with Global Optimality Certification
by: Zhang, Gavin, et al.
Published: (2022)

Benign landscape for Burer-Monteiro factorizations of MaxCut-type semidefinite programs
by: Endor, Faniriana Rakoto, et al.
Published: (2024)

A smoothing moving balls approximation method for a class of conic-constrained difference-of-convex optimization problems
by: Xu, Jiefeng, et al.
Published: (2025)

Complexity and convergence analysis of a single-loop SDCAM for Lipschitz composite optimization and beyond
by: Zhang, Hao, et al.
Published: (2025)

Kurdyka-Łojasiewicz exponent via Hadamard parametrization
by: Ouyang, Wenqing, et al.
Published: (2024)

Generalized power cones: optimal error bounds and automorphisms
by: Lin, Ying, et al.
Published: (2022)

Convergence analysis for a variant of manifold proximal point algorithm based on Kurdyka-Łojasiewicz property
by: Yu, Peiran, et al.
Published: (2025)

A single-loop proximal-conditional-gradient penalty method
by: Zhang, Hao, et al.
Published: (2024)

Tuning parameter selection for the adaptive nuclear norm regularized trace regression
by: Shang, Pan, et al.
Published: (2024)

Safe subspace screening for the adaptive nuclear norm regularized trace regression
by: Shang, Pan, et al.
Published: (2024)

On the strength of Burer's lifted convex relaxation to quadratic programming with ball constraints
by: Kılınç-Karzan, Fatma, et al.
Published: (2024)

Frank-Wolfe-type methods for a class of nonconvex inequality-constrained problems
by: Zeng, Liaoyuan, et al.
Published: (2021)

The robust isolated calmness of spectral norm regularized convex matrix optimization problems
by: Yin, Ziran, et al.
Published: (2024)

Time-Varying Semidefinite Programming: Path Following a Burer-Monteiro Factorization
by: Bellon, Antonio, et al.
Published: (2022)

Error bounds for perspective cones of a class of nonnegative Legendre functions
by: Wang, Xiaozhou, et al.
Published: (2025)

$\ell_p$-sphere covering and approximating nuclear $p$-norm
by: Guan, Jiewen, et al.
Published: (2023)

On decomposability and subdifferential of the tensor nuclear norm
by: Guan, Jiewen, et al.
Published: (2025)

An MILP-Based Solution Scheme for Factored and Robust Factored Markov Decision Processes
by: Liu, Huikang, et al.
Published: (2024)

A Max-Min-Max Algorithm for Large-Scale Robust Optimization
by: Tu, Kai, et al.
Published: (2024)

l1-norm regularized l1-norm best-fit lines
by: Ling, Xiao, et al.
Published: (2024)

Local convergence of primal-dual interior point methods for nonlinear semidefinite optimization using the Monteiro-Tsuchiya family of search directions
by: Okuno, Takayuki
Published: (2020)

Sum-of-norms regularized Nonnegative Matrix Factorization
by: Ang, Andersen, et al.
Published: (2024)

On data usage and predictive behavior of data-driven predictive control with 1-norm regularization
by: Klädtke, Manuel, et al.
Published: (2025)

Tikhonov regularized second-order plus first-order primal-dual dynamical systems with asymptotically vanishing damping for linear equality constrained convex optimization problems
by: Zhu, Ting Ting, et al.
Published: (2023)

An error bound-based convergence analysis framework for a class of randomized algorithms
by: Yang, Zhichun, et al.
Published: (2026)

New second-order optimality conditions for directional optimality of a general set-constrained optimization problem
by: Ouyang, Wei, et al.
Published: (2024)

Variance Reduced Random Relaxed Projection Method for Constrained Finite-sum Minimization Problems
by: Yang, Zhichun, et al.
Published: (2022)

Quantitative regularity properties for the optimal design problem
by: Lamberti, Lorenzo, et al.
Published: (2025)

Optimal error bounds in the absence of constraint qualifications with applications to the $p$-cones and beyond
by: Lindstrom, Scott B., et al.
Published: (2021)

Two-norm discrepancy and convergence of the stochastic gradient method with application to shape optimization
by: Dambrine, Marc, et al.
Published: (2024)

Anchored Spectral Estimator for Rigid Motion Synchronization
by: Zhao, Ziyue, et al.
Published: (2026)

Notes on the discretization of TV-norm regularized inverse potential problems
by: Baratchart, L, et al.
Published: (2025)

Group zero-norm regularized robust loss minimization: proximal MM method and statistical error bound
by: Liang, Ling, et al.
Published: (2025)

Convergence analysis of a regularized Newton method with generalized regularization terms for convex optimization problems
by: Yamakawa, Yuya, et al.
Published: (2024)

Kurdyka-Łojasiewicz exponent via square transformation
by: Ouyang, Wenqing
Published: (2025)

On stochastic control under Poisson observations: optimality of a barrier strategy in a general Lévy model
by: Noba, Kei, et al.
Published: (2022)