Cover Image

$\ell_p$-sphere covering and approximating nuclear $p$-norm

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Guan, Jiewen, He, Simai, Jiang, Bo, Li, Zhening
Format:	Preprint
Published:	2023
Subjects:	Optimization and Control
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

Iterative Refinement for $\ell_p$-norm Regression
by: Adil, Deeksha, et al.
Published: (2019)

Sparse Recovery via $\ell_p^p/\ell_q^p$ Ratio Minimization: Theory and Algorithm
by: Yu, Lang, et al.
Published: (2026)

$\ell_1$-norm rank-one symmetric matrix factorization has no spurious second-order stationary points
by: Guan, Jiewen, et al.
Published: (2024)

Beyond First-Order Methods for $\ell_p$-Structured Non-Monotone Variational Inequalities
by: Vyas, Abhijeet, et al.
Published: (2026)

Towards An Efficient Approach for the Nonconvex $\ell_p$ Ball Projection: Algorithm and Analysis
by: Yang, Xiangyu, et al.
Published: (2021)

De-singularity Subgradient for the $q$-th-Powered $\ell_p$-Norm Weber Location Problem
by: Lai, Zhao-Rong, et al.
Published: (2024)

Optimal Partition for Multi-Type Queueing System
by: Cao, Shengyu, et al.
Published: (2021)

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

An Iteratively Reweighted Method for Sparse Optimization on Nonconvex $\ell_{p}$ Ball
by: Wang, Hao, et al.
Published: (2021)

Convergence Rates for $\ell_p$ Norm Minimization in Convex Vector Optimization
by: Alshahrani, Mohammed
Published: (2026)

Sparse Signal Reconstruction for Overdispersed Low-photon Count Biomedical Imaging Using $\ell_p$ Total Variation
by: Lu, Yu, et al.
Published: (2024)

Burer-Monteiro factorizability of nuclear norm regularized optimization
by: Ouyang, Wenqing, et al.
Published: (2025)

On subdifferential chain rule of matrix factorization and beyond
by: Guan, Jiewen, et al.
Published: (2024)

Convex optimization with $p$-norm oracles
by: Adil, Deeksha, et al.
Published: (2024)

Optimal $L^p$-approximation of convex sets by convex subsets
by: Fattah, Zakaria, et al.
Published: (2025)

Hands-Off Covariance Steering: Inducing Feedback Sparsity via Iteratively Reweighted $\ell_{1,p}$ Regularization
by: Kumagai, Naoya, et al.
Published: (2025)

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)

Improved $\ell_{p}$ Regression via Iteratively Reweighted Least Squares
by: Ene, Alina, et al.
Published: (2025)

Quantification of Non-stationary Power Quality Events: A New Index Based on $\ell_p$-norm of Energy
by: Hafiz, Faizal, et al.
Published: (2024)

The Isotropic Material Design methods with the cost expressed by the $L^p$-norm
by: Bołbotowski, Karol, et al.
Published: (2025)

A Unified Theoretic and Algorithmic Framework for Solving Multivariate Linear Model with $\ell^1$-norm Approximation
by: Feng, Zhi-Qiang, et al.
Published: (2025)

Proximity Operator of the $\ell_1$ over $\ell_2$ Function
by: Shen, Lixin, et al.
Published: (2026)

Sparse Recovery: The Square of $\ell_1/\ell_2$ Norms
by: Jia, Jianqing, et al.
Published: (2024)

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

Modified Block Newton Algorithm for $\ell_0$-Regularized Optimization
by: Ye, Yuge, et al.
Published: (2025)

Robust approximation of chance constrained optimization with polynomial perturbation
by: Rao, Bo, et al.
Published: (2022)

On the B-subdifferential of proximal operators of affine-constrained $\ell_1$ regularizer
by: Li, Xudong, et al.
Published: (2025)

Subspace Newton's Method for $\ell_0$-Regularized Optimization Problems with Box Constraint
by: Ye, Yuge, et al.
Published: (2025)

Non-Stationary Bandit Convex Optimization: An Optimal Algorithm with Two-Point Feedback
by: He, Chang, et al.
Published: (2025)

Adaptive Single-Loop Methods for Stochastic Minimax Optimization on Riemannian Manifolds
by: Wang, Hongye, et al.
Published: (2026)

Dynamic Constrained Stabilization on the n-sphere
by: Sawant, Mayur, et al.
Published: (2026)

Solving Convex-Concave Problems with $\tilde{\mathcal{O}}(ε^{-4/(3p+1)})$ $p$th-Order Oracle Complexity
by: Chen, Lesi, et al.
Published: (2026)

Controllability of induced bilinear systems on the sphere
by: Colque-Choquecallata, Marco A., et al.
Published: (2025)

On the $\ell_p$ and $\ell_{p,q}$ norms of Cauchy-Toeplitz matrices
by: Batbold, Tserendorj
Published: (2025)

On Relatively Smooth Optimization over Riemannian Manifolds
by: He, Chang, et al.
Published: (2025)

Quasi-Newton method of Optimization is proved to be a steepest descent method under the ellipsoid norm
by: Li, Jiongcheng
Published: (2024)

Proximal Iterative Hard Thresholding Algorithm for Sparse Group $\ell_0$-Regularized Optimization with Box Constraint
by: Ye, Yuge, et al.
Published: (2025)

History-Aware Adaptive High-Order Tensor Regularization
by: He, Chang, et al.
Published: (2025)