Cover Image

Power of $\ell_1$-Norm Regularized Kaczmarz Algorithms for High-Order Tensor Recovery

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Henneberger, Katherine, Qin, Jing
Format:	Preprint
Published:	2024
Subjects:	Optimization and Control Computer Vision and Pattern Recognition Numerical Analysis
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Hyperspectral Band Selection based on Generalized 3DTV and Tensor CUR Decomposition
by: Henneberger, Katherine, et al.
Published: (2024)

Log-Sum Regularized Kaczmarz Algorithms for High-Order Tensor Recovery
by: Henneberger, Katherine, et al.
Published: (2023)

Quaternion Nonlinear Transform-Induced Nuclear Norm for Low-Rank Tensor Completion
by: Karmakar, Biswarup, et al.
Published: (2026)

Tensor-Based Synchronization and the Low-Rankness of the Block Trifocal Tensor
by: Miao, Daniel, et al.
Published: (2024)

QuadSync: Quadrifocal Tensor Synchronization via Tucker Decomposition
by: Miao, Daniel, et al.
Published: (2026)

A Nonlocal Graph-PDE and Higher-Order Geometric Integration for Image Labeling
by: Sitenko, Dmitrij, et al.
Published: (2022)

Why do we regularise in every iteration for imaging inverse problems?
by: Papoutsellis, Evangelos, et al.
Published: (2024)

A Guide to Stochastic Optimisation for Large-Scale Inverse Problems
by: Ehrhardt, Matthias J., et al.
Published: (2024)

Adaptive Extrapolated Proximal Gradient Methods with Variance Reduction for Composite Nonconvex Finite-Sum Minimization
by: Yuan, Ganzhao
Published: (2025)

Methods based on Radon transform for non-affine deformable image registration of noisy images
by: Hurtado, Daniel E., et al.
Published: (2024)

Block Matrix and Tensor Randomized Kaczmarz Methods for Linear Feasibility Problems
by: Zhang, Minxin, et al.
Published: (2024)

Worth Their Weight: Randomized and Regularized Block Kaczmarz Algorithms without Preprocessing
by: Goldshlager, Gil, et al.
Published: (2025)

Learning Spatially Adaptive $\ell_1$-Norms Weights for Convolutional Synthesis Regularization
by: Kofler, Andreas, et al.
Published: (2025)

Transferable Foundation Models for Geometric Tasks on Point Cloud Representations: Geometric Neural Operators
by: Quackenbush, Blaine, et al.
Published: (2025)

Extending Neural Operators: Robust Handling of Functions Beyond the Training Set
by: Quackenbush, Blaine, et al.
Published: (2026)

Time-Varying Graph Signal Recovery Using High-Order Smoothness and Adaptive Low-rankness
by: Guo, Weihong, et al.
Published: (2024)

Dynamic image reconstruction in MPI with RESESOP-Kaczmarz
by: Nitzsche, Marius, et al.
Published: (2024)

Stochastic Optimisation Framework using the Core Imaging Library and Synergistic Image Reconstruction Framework for PET Reconstruction
by: Papoutsellis, Evangelos, et al.
Published: (2024)

Robust Kaczmarz methods for nearly singular linear systems
by: Ke, Yunying, et al.
Published: (2026)

Global Optimality Characterizations and Algorithms for Minimizing Quartically-Regularized Third-Order Taylor Polynomials
by: Zhu, Wenqi, et al.
Published: (2025)

Global Convergence of High-Order Regularization Methods with Sums-of-Squares Taylor Models
by: Zhu, Wenqi, et al.
Published: (2024)

Dynamic Proximal Gradient Algorithms for Schatten-$p$ Quasi-Norm Regularized Problems
by: Shen, Weiping, et al.
Published: (2026)

Rank One Completion for Higher Order Tensors
by: Zhang, Linghao, et al.
Published: (2026)

PowerStep: Memory-Efficient Adaptive Optimization via $\ell_p$-Norm Steepest Descent
by: Lu, Yao, et al.
Published: (2026)

Well-Posedness and Efficient Algorithms for Inverse Optimal Transport with Bregman Regularization
by: Bao, Chenglong, et al.
Published: (2025)

Tensor-Tensor Products, Group Representations, and Semidefinite Programming
by: Dunbar, Alex, et al.
Published: (2025)

High-dimensional Optimization with Low Rank Tensor Sampling and Local Search
by: Sozykin, Konstantin, et al.
Published: (2025)

The Rank-1 Completion Problem for Cubic Tensors
by: Zhou, Jinling, et al.
Published: (2024)

Last-Iterate Convergence of Randomized Kaczmarz and SGD with Greedy Step Size
by: Dereziński, Michał, et al.
Published: (2026)

Kaczmarz Projection Algorithms in Moving Window: Performance Improvement via Extended Orthogonality & Forgetting
by: Stotsky, Alexander
Published: (2024)

Optimal Matrix-Mimetic Tensor Algebras via Variable Projection
by: Newman, Elizabeth, et al.
Published: (2024)

Variational Tensor-Product Splines
by: Guillemet, Vincent, et al.
Published: (2025)

Understanding the PDHG Algorithm via High-Resolution Differential Equations
by: Li, Bowen, et al.
Published: (2024)

Understanding the ADMM Algorithm via High-Resolution Differential Equations
by: Li, Bowen, et al.
Published: (2024)

A Multigrid Preconditioner for Tensor Product Spline Smoothing
by: Siebenborn, Martin, et al.
Published: (2019)

Tensor-based empirical interpolation method and its application in model reduction
by: Tripathi, Brij Nandan, et al.
Published: (2024)

An Error Analysis of Second Order Elliptic Optimal Control Problem via Hybrid Higher Order Methods
by: Mallik, Gouranga, et al.
Published: (2025)

Tensor train based sampling algorithms for approximating regularized Wasserstein proximal operators
by: Han, Fuqun, et al.
Published: (2024)

Tensor-based Dinkelbach method for computing generalized tensor eigenvalues and its applications
by: Chen, Haibin, et al.
Published: (2025)

Proximal Gradient-based Low Rank Tensor Decomposition for State Dependent Riccati Equation
by: Jiang, Jiahua, et al.
Published: (2026)