Cover Image

Sum-of-norms regularized Nonnegative Matrix Factorization

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ang, Andersen, Hamed, Waqas Bin, De Sterck, Hans
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Optimization and Control
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Sparse Hyperparametric Itakura-Saito Nonnegative Matrix Factorization via Bi-Level Optimization
by: Selicato, Laura, et al.
Published: (2025)

A Second-Order Majorant Algorithm for Nonnegative Matrix Factorization
by: Pham, Mai-Quyen, et al.
Published: (2023)

Majorization-minimization for Sparse Nonnegative Matrix Factorization with the $β$-divergence
by: Marmin, Arthur, et al.
Published: (2022)

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

Nonnegative Low-rank Matrix Recovery Can Have Spurious Local Minima
by: Zhang, Richard Y.
Published: (2025)

Efficient algorithms for regularized Poisson Non-negative Matrix Factorization
by: Perraudin, Nathanaël, et al.
Published: (2024)

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

Randomized Algorithms for Symmetric Nonnegative Matrix Factorization
by: Hayashi, Koby, et al.
Published: (2024)

Accelerated Nonnegative Tensor Completion via Integer Programming
by: Pan, Wenhao, et al.
Published: (2022)

Adversarial Training Should Be Cast as a Non-Zero-Sum Game
by: Robey, Alexander, et al.
Published: (2023)

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

A Support-Set Algorithm for Optimization Problems with Nonnegative and Orthogonal Constraints
by: Wang, Lei, et al.
Published: (2025)

Sharpness of Minima in Deep Matrix Factorization
by: Kamber, Anil, et al.
Published: (2025)

Statistically Optimal K-means Clustering via Nonnegative Low-rank Semidefinite Programming
by: Zhuang, Yubo, et al.
Published: (2023)

Convergence of Alternating Gradient Descent for Matrix Factorization
by: Ward, Rachel, et al.
Published: (2023)

Fast and Effective Computation of Generalized Symmetric Matrix Factorization
by: Yang, Lei, et al.
Published: (2026)

Fast Projection onto the Capped Simplex with Applications to Sparse Regression in Bioinformatics
by: Ang, Andersen, et al.
Published: (2021)

Preconditioned Gradient Descent for Over-Parameterized Nonconvex Matrix Factorization
by: Zhang, Gavin, et al.
Published: (2025)

Global Convergence of Four-Layer Matrix Factorization under Random Initialization
by: Luo, Minrui, et al.
Published: (2025)

Implicit Regularization in Perturbed Deep Matrix Factorization: Spectral Conditions and Stability
by: Wang, Jingzhe, et al.
Published: (2026)

Decentralized Sum-of-Nonconvex Optimization
by: Liu, Zhuanghua, et al.
Published: (2024)

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

Implicit Bias in Matrix Factorization and its Explicit Realization in a New Architecture
by: Hou, Yikun, et al.
Published: (2025)

Efficient Continual Finite-Sum Minimization
by: Mavrothalassitis, Ioannis, et al.
Published: (2024)

Conic-Optimization Based Algorithms for Nonnegative Matrix Factorization
by: Leplat, Valentin, et al.
Published: (2021)

Provable Acceleration of Nesterov's Accelerated Gradient for Rectangular Matrix Factorization and Linear Neural Networks
by: Xu, Zhenghao, et al.
Published: (2024)

Improved Stochastic Optimization of LogSumExp
by: Gladin, Egor, et al.
Published: (2025)

Efficient Algorithms for Regularized Nonnegative Scale-invariant Low-rank Approximation Models
by: Cohen, Jeremy E., et al.
Published: (2024)

Infinity-norm-based Input-to-State-Stable Long Short-Term Memory networks: a thermal systems perspective
by: De Carli, Stefano, et al.
Published: (2025)

On bounds for norms of reparameterized ReLU artificial neural network parameters: sums of fractional powers of the Lipschitz norm control the network parameter vector
by: Jentzen, Arnulf, et al.
Published: (2022)

On the Complexity of Decentralized Smooth Nonconvex Finite-Sum Optimization
by: Luo, Luo, et al.
Published: (2022)

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

Stochastic Halpern iteration in normed spaces and applications to reinforcement learning
by: Bravo, Mario, et al.
Published: (2024)

Strong bounds for large-scale Minimum Sum-of-Squares Clustering
by: Croella, Anna Livia, et al.
Published: (2025)

On the Complexity of Finite-Sum Smooth Optimization under the Polyak-Łojasiewicz Condition
by: Bai, Yunyan, et al.
Published: (2024)

Decentralized Stochastic Gradient Descent Ascent for Finite-Sum Minimax Problems
by: Gao, Hongchang
Published: (2022)

Stability and Generalization of Push-Sum Based Decentralized Optimization over Directed Graphs
by: Liang, Yifei, et al.
Published: (2026)

Convergence Analysis of the PAGE Stochastic Algorithm for Weakly Convex Finite-Sum Optimization
by: Condat, Laurent, et al.
Published: (2025)

Stochastic Variance-Reduced Newton: Accelerating Finite-Sum Minimization with Large Batches
by: Dereziński, Michał
Published: (2022)

State-Dependent Lyapunov Method for Rank-1 Matrix Factorization
by: Moon, Jaehong
Published: (2026)