Imagen de Portada

Nonconvex Factorization and Manifold Formulations are Almost Equivalent in Low-rank Matrix Optimization

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Luo, Yuetian, Li, Xudong, Zhang, Anru R.
Formato:	Preprint
Publicado:	2021
Materias:	Optimization and Control Information Theory Machine Learning Signal Processing
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

K-Deep Simplex: Deep Manifold Learning via Local Dictionaries
por: Tankala, Pranay, et al.
Publicado: (2020)

Tensor-on-Tensor Regression: Riemannian Optimization, Over-parameterization, Statistical-computational Gap, and Their Interplay
por: Luo, Yuetian, et al.
Publicado: (2022)

Newton Meets Marchenko-Pastur: Massively Parallel Second-Order Optimization with Hessian Sketching and Debiasing
por: Romanov, Elad, et al.
Publicado: (2024)

ODELoRA: Training Low-Rank Adaptation by Solving Ordinary Differential Equations
por: Gao, Yihang, et al.
Publicado: (2026)

Automatic Rank Determination for Low-Rank Adaptation via Submodular Function Maximization
por: Gao, Yihang, et al.
Publicado: (2025)

Algorithms for Boolean Matrix Factorization using Integer Programming and Heuristics
por: Kolomvakis, Christos, et al.
Publicado: (2025)

Guaranteed Nonconvex Factorization Approach for Tensor Train Recovery
por: Qin, Zhen, et al.
Publicado: (2024)

Asymptotics of Proximity Operator for Squared Loss and Performance Prediction of Nonconvex Sparse Signal Recovery
por: Hayakawa, Ryo
Publicado: (2021)

Weighed l1 on the simplex: Compressive sensing meets locality
por: Tasissa, Abiy, et al.
Publicado: (2021)

Strong Duality in Risk-Constrained Nonconvex Functional Programming
por: Kalogerias, Dionysis, et al.
Publicado: (2022)

Adaptive Learning for IRS-Assisted Wireless Networks: Securing Opportunistic Communications Against Byzantine Eavesdroppers
por: Taherpour, Amirhossein, et al.
Publicado: (2025)

On the Crucial Role of Initialization for Matrix Factorization
por: Li, Bingcong, et al.
Publicado: (2024)

Robust Low-rank Tensor Train Recovery
por: Qin, Zhen, et al.
Publicado: (2024)

Quickest Change Detection with Confusing Change
por: Chen, Yu-Zhen Janice, et al.
Publicado: (2024)

The Local Landscape of Phase Retrieval Under Limited Samples
por: Liu, Kaizhao, et al.
Publicado: (2023)

Convexity in Disguise: A Theoretical Framework for Nonconvex Low-Rank Matrix Estimation
por: Cui, Chengyu, et al.
Publicado: (2026)

The Power of Preconditioning in Overparameterized Low-Rank Matrix Sensing
por: Xu, Xingyu, et al.
Publicado: (2023)

Nonnegative Matrix Factorization in the Component-Wise L1 Norm for Sparse Data
por: Seraghiti, Giovanni, et al.
Publicado: (2026)

A Survey of Recent Advances in Optimization Methods for Wireless Communications
por: Liu, Ya-Feng, et al.
Publicado: (2024)

Optimization of Beyond Diagonal RIS: A Universal Framework Applicable to Arbitrary Architectures
por: Wu, Zheyu, et al.
Publicado: (2024)

An Efficient Benders Decomposition Approach for Optimal Large-Scale Network Slicing
por: Chen, Wei-Kun, et al.
Publicado: (2023)

On the Benefits of Weight Normalization for Overparameterized Matrix Sensing
por: Wei, Yudong, et al.
Publicado: (2025)

QoS-Aware and Routing-Flexible Network Slicing for Service-Oriented Networks
por: Chen, Wei-Kun, et al.
Publicado: (2024)

Joint Satellite Power Consumption and Handover Optimization for LEO Constellations
por: Afif, Yassine, et al.
Publicado: (2025)

Alternating Direction Method of Multipliers for Nonlinear Matrix Decompositions
por: Awari, Atharva, et al.
Publicado: (2025)

Absence of spurious solutions far from ground truth: A low-rank analysis with high-order losses
por: Ma, Ziye, et al.
Publicado: (2024)

BICM-compatible Rate Adaptive Geometric Constellation Shaping Using Optimized Many-to-one Labeling
por: Yankov, Metodi Plamenov, et al.
Publicado: (2023)

Piecewise Linearity of Min-Norm Solution Map of a Nonconvexly Regularized Convex Sparse Model
por: Zhang, Yi, et al.
Publicado: (2023)

Lasry-Lions Envelopes and Nonconvex Optimization: A Homotopy Approach
por: Simões, Miguel, et al.
Publicado: (2021)

An Adaptive Proximal Inexact Gradient Framework and Its Application to Per-Antenna Constrained Joint Beamforming and Compression Design
por: Fan, Xilai, et al.
Publicado: (2025)

Waterfilling at the Edge: Optimal Percentile Resource Allocation via Risk-Averse Reduction
por: Yaylali, Gokberk, et al.
Publicado: (2025)

Uplink Pilot and Data Power Control for Single Cell Massive MIMO Systems with MRC
por: Cheng, Hei Victor, et al.
Publicado: (2015)

Optimal Pilot and Payload Power Control in Single-Cell Massive MIMO Systems
por: Cheng, Hei Victor, et al.
Publicado: (2016)

A New Adaptive Balanced Augmented Lagrangian Method with Application to ISAC Beamforming Design
por: Wu, Jiageng, et al.
Publicado: (2024)

QoS-based Beamforming and Compression Design for Cooperative Cellular Networks via Lagrangian Duality
por: Fan, Xilai, et al.
Publicado: (2023)

Quantized Constant-Envelope Waveform Design for Massive MIMO DFRC Systems
por: Wu, Zheyu, et al.
Publicado: (2024)

Beamforming Design for Integrated Sensing and Communications Using Uplink-Downlink Duality
por: Attiah, Kareem M., et al.
Publicado: (2024)

Analytically Characterized Optimal Power Control for Signal-Level-Integrated Sensing, Computing and Communication in Federated Learning
por: Zheng, Paul, et al.
Publicado: (2026)

Covariance-Based Activity Detection in Cooperative Multi-Cell Massive MIMO: Scaling Law and Efficient Algorithms
por: Wang, Ziyue, et al.
Publicado: (2023)

Computing Capacity-Cost Functions for Continuous Channels in Wasserstein Space
por: Li, Xinyang, et al.
Publicado: (2025)