Quotient Manifold Optimization for Spectral Compressed Sensing
Fuente:
arXiv
Saved in:
| Main Authors: | Wang, Wenlong, Huang, Wen, Yang, Zai |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Escaping Local Minima Provably in Non-convex Matrix Sensing: A Deterministic Framework via Simulated Lifting
by: Shen, Tianqi, et al.
Published: (2026)
by: Shen, Tianqi, et al.
Published: (2026)
On the analysis of optimization with fixed-rank matrices: a quotient geometric view
by: Dong, Shuyu, et al.
Published: (2022)
by: Dong, Shuyu, et al.
Published: (2022)
The Dantzig Selector: Sparse Signals Recovery via l_p-q Minimization
by: Li, Jie, et al.
Published: (2023)
by: Li, Jie, et al.
Published: (2023)
Accelerating Ill-conditioned Hankel Matrix Recovery via Structured Newton-like Descent
by: Cai, HanQin, et al.
Published: (2024)
by: Cai, HanQin, et al.
Published: (2024)
Noisy phase retrieval from subgaussian measurements
by: Peng, Haiyang, et al.
Published: (2024)
by: Peng, Haiyang, et al.
Published: (2024)
Rate-Distortion Analysis of Compressed Query Delegation with Low-Rank Riemannian Updates
by: Alpay, Faruk, et al.
Published: (2026)
by: Alpay, Faruk, et al.
Published: (2026)
A smoothing proximal gradient algorithm for matrix rank minimization problem
by: Yu, Quan, et al.
Published: (2021)
by: Yu, Quan, et al.
Published: (2021)
MV-PURE Spatial Filters with Application to EEG/MEG Source Reconstruction
by: Piotrowski, Tomasz, et al.
Published: (2017)
by: Piotrowski, Tomasz, et al.
Published: (2017)
Global convergence of the subgradient method for robust signal recovery
by: Cai, Zesheng, et al.
Published: (2026)
by: Cai, Zesheng, et al.
Published: (2026)
Identifying faulty edges in resistive electrical networks
by: Fiedorowicz, Barbara, et al.
Published: (2025)
by: Fiedorowicz, Barbara, et al.
Published: (2025)
Optimization landscape of $\ell_0$-Bregman relaxations
by: Chirinos-Rodríguez, Jonathan, et al.
Published: (2025)
by: Chirinos-Rodríguez, Jonathan, et al.
Published: (2025)
Transformed $\ell_p$ Minimization Model and Sparse Signal Recovery
by: Li, Ziwei, et al.
Published: (2026)
by: Li, Ziwei, et al.
Published: (2026)
Commutation principles for optimization problems involving strictly Schur-convex functions in Euclidean Jordan algebras
by: Massey, Pedro G., et al.
Published: (2025)
by: Massey, Pedro G., et al.
Published: (2025)
Nonconvex Deterministic Matrix Completion by Projected Gradient Descent Methods
by: Xu, Hang, et al.
Published: (2024)
by: Xu, Hang, et al.
Published: (2024)
Generic linear convergence for algorithms of non-linear least squares over smooth varieties
by: Hu, Shenglong, et al.
Published: (2025)
by: Hu, Shenglong, et al.
Published: (2025)
Locally Optimal Eigenvectors of Regular Simplex Tensors
by: Wang, Lei
Published: (2023)
by: Wang, Lei
Published: (2023)
A Complete Loss Landscape Analysis of Regularized Deep Matrix Factorization
by: Chen, Po, et al.
Published: (2025)
by: Chen, Po, et al.
Published: (2025)
The vector linear program solver Bensolve -- notes on theoretical background
by: Löhne, Andreas, et al.
Published: (2015)
by: Löhne, Andreas, et al.
Published: (2015)
Equivalence between polyhedral projection, multiple objective linear programming and vector linear programming
by: Löhne, Andreas, et al.
Published: (2015)
by: Löhne, Andreas, et al.
Published: (2015)
Continuous Donoho-Elad Spark Uncertainty Principle
by: Krishna, K. Mahesh
Published: (2025)
by: Krishna, K. Mahesh
Published: (2025)
Majorization-minimization Bregman proximal gradient algorithms for NMF with the Kullback--Leibler divergence
by: Takahashi, Shota, et al.
Published: (2024)
by: Takahashi, Shota, et al.
Published: (2024)
Riemannian preconditioned coordinate descent for low multi-linear rank approximation
by: Hamed, Mohammad, et al.
Published: (2021)
by: Hamed, Mohammad, et al.
Published: (2021)
A quadratically convergent proximal algorithm for nonnegative tensor decomposition
by: Vervliet, Nico, et al.
Published: (2020)
by: Vervliet, Nico, et al.
Published: (2020)
Application of tropical optimization for solving multicriteria problems of pairwise comparisons using log-Chebyshev approximation
by: Krivulin, Nikolai
Published: (2022)
by: Krivulin, Nikolai
Published: (2022)
Low-Rank Tensor Recovery via Theta Nuclear p-Norm
by: Röhrich, Felix, et al.
Published: (2025)
by: Röhrich, Felix, et al.
Published: (2025)
Beyond Discreteness: Sample Complexity Analysis of Straight-Through Estimator for 1-bit Quantization
by: Jeong, Halyun, et al.
Published: (2025)
by: Jeong, Halyun, et al.
Published: (2025)
On Bias and Its Reduction via Standardization in Discretized Electromagnetic Source Localization Problems
by: Lahtinen, Joonas
Published: (2024)
by: Lahtinen, Joonas
Published: (2024)
Denoising Hyperbolic-Valued Data by Relaxed Regularizations
by: Beinert, Robert, et al.
Published: (2024)
by: Beinert, Robert, et al.
Published: (2024)
Denoising of Sphere- and SO(3)-Valued Data by Relaxed Tikhonov Regularization
by: Beinert, Robert, et al.
Published: (2023)
by: Beinert, Robert, et al.
Published: (2023)
Denoising Sphere-Valued Data by Relaxed Total Variation Regularization
by: Beinert, Robert, et al.
Published: (2024)
by: Beinert, Robert, et al.
Published: (2024)
Copositivity criteria of a class of fourth order 3-dimensional symmetric tensors
by: Song, Yisheng, et al.
Published: (2023)
by: Song, Yisheng, et al.
Published: (2023)
Positive Definiteness of $4$th Order $3$-Dimensional Symmetric Tensors with entries $-1$, $0$, $1$
by: Ye, Li, et al.
Published: (2025)
by: Ye, Li, et al.
Published: (2025)
Ramanujan sums in signal recovery and uncertainty principle inequalities
by: Kalra, Sahil, et al.
Published: (2025)
by: Kalra, Sahil, et al.
Published: (2025)
On the Convergence of Constrained Gradient Method
by: Zhou, Danqing, et al.
Published: (2025)
by: Zhou, Danqing, et al.
Published: (2025)
Optimization without Retraction on the Random Generalized Stiefel Manifold
by: Vary, Simon, et al.
Published: (2024)
by: Vary, Simon, et al.
Published: (2024)
Optimization on the Oblique Manifold for Sparse Simplex Constraints via Multiplicative Updates
by: Esposito, Flavia, et al.
Published: (2025)
by: Esposito, Flavia, et al.
Published: (2025)
A Cubic Regularization Method for Multiobjective Optimization
by: Gonçalves, Douglas S., et al.
Published: (2025)
by: Gonçalves, Douglas S., et al.
Published: (2025)
Cubic Regularization Technique of the Newton Method for Vector Optimization
by: Ghosh, Debdas
Published: (2025)
by: Ghosh, Debdas
Published: (2025)
Identifiability and Exact Reconstruction of the Optimal Transport Cost on Finite Spaces
by: González-Sanz, Alberto, et al.
Published: (2024)
by: González-Sanz, Alberto, et al.
Published: (2024)
A distributed Douglas-Rachford splitting method for solving linear constrained multi-block weakly convex problems
by: Hu, Leyu, et al.
Published: (2024)
by: Hu, Leyu, et al.
Published: (2024)
Similar Items
-
Escaping Local Minima Provably in Non-convex Matrix Sensing: A Deterministic Framework via Simulated Lifting
by: Shen, Tianqi, et al.
Published: (2026) -
On the analysis of optimization with fixed-rank matrices: a quotient geometric view
by: Dong, Shuyu, et al.
Published: (2022) -
The Dantzig Selector: Sparse Signals Recovery via l_p-q Minimization
by: Li, Jie, et al.
Published: (2023) -
Accelerating Ill-conditioned Hankel Matrix Recovery via Structured Newton-like Descent
by: Cai, HanQin, et al.
Published: (2024) -
Noisy phase retrieval from subgaussian measurements
by: Peng, Haiyang, et al.
Published: (2024)