Cover Image

Low-rank optimization on Tucker tensor varieties

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Gao, Bin, Peng, Renfeng, Yuan, Ya-xiang
Format:	Preprint
Published:	2023
Subjects:	Optimization and Control Numerical Analysis 15A69, 65K05, 65F30, 90C30
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Desingularization of bounded-rank tensor sets
by: Gao, Bin, et al.
Published: (2024)

Optimization on product manifolds under a preconditioned metric
by: Gao, Bin, et al.
Published: (2023)

Quotient geometry of tensor ring decomposition
by: Gao, Bin, et al.
Published: (2026)

First-order methods on bounded-rank tensors converging to stationary points
by: Gao, Bin, et al.
Published: (2025)

Normalized tensor train decomposition
by: Peng, Renfeng, et al.
Published: (2025)

ASPEN: An Additional Sampling Penalty Method for Finite-Sum Optimization Problems with Nonlinear Equality Constraints
by: Krejić, Nataša, et al.
Published: (2025)

A Generating Polynomial Based Two-Stage Optimization Method for Tensor Rank Decomposition
by: Zheng, Zequn, et al.
Published: (2025)

Optimization over the intersection of manifolds
by: Yang, Yan, et al.
Published: (2026)

An NPDo Approach for Tensor Block-Diagonalization
by: Li, Ren-Cang, et al.
Published: (2026)

A Variational Characterization and A Line Search Newton-Noda Method for the unifying spectral problem of nonnegative tensors
by: Xu, Jiefeng, et al.
Published: (2025)

Fast and Accurate CP-HIFI Tensor Decompositions: Exploiting Kronecker Structure
by: Brust, Johannes J., et al.
Published: (2026)

Hybrid CUR-type decomposition of tensors in the Tucker format
by: Begovic, Erna
Published: (2020)

Stochastic momentum ADMM for nonconvex and nonsmooth optimization with application to PnP algorithm
by: Deng, Kangkang, et al.
Published: (2025)

Variational analysis of determinantal varieties
by: Yang, Yan, et al.
Published: (2025)

Stochastic optimization over proximally smooth sets
by: Davis, Damek, et al.
Published: (2020)

An Additively Preconditioned Trust Region Strategy for Machine Learning
by: Alegría, Samuel Cruz, et al.
Published: (2025)

Symplectic Extra-gradient Type Method for Solving General Non-monotone Inclusion Problem
by: Yuan, Ya-xiang, et al.
Published: (2024)

AS-BOX: Additional Sampling Method for Weighted Sum Problems with Box Constraints
by: Krejić, Nataša, et al.
Published: (2025)

Rank-one Riemannian Subspace Descent for Nonlinear Matrix Equations
by: Darmwal, Yogesh, et al.
Published: (2026)

A New Two-dimensional Model-based Subspace Method for Large-scale Unconstrained Derivative-free Optimization: 2D-MoSub
by: Xie, Pengcheng, et al.
Published: (2023)

Inexact Restoration via random models for unconstrained noisy optimization
by: Morini, Benedetta, et al.
Published: (2024)

Variance-reduced first-order methods for deterministically constrained stochastic nonconvex optimization with strong convergence guarantees
by: Lu, Zhaosong, et al.
Published: (2024)

New gradient methods with 3 dimensional quadratic termination
by: Xie, Yixin, et al.
Published: (2026)

An NEPv Approach for Feature Selection via Orthogonal OCCA with the (2,1)-norm Regularization
by: Wang, Li, et al.
Published: (2025)

Adaptive Multilevel Newton: A Quadratically Convergent Optimization Method
by: Tsipinakis, Nick, et al.
Published: (2025)

Design Guidelines for Noise-Tolerant Optimization with Applications in Robust Design
by: Lou, Yuchen, et al.
Published: (2024)

Spectral conjugate gradient projection methods for large-scale monotone equations without Lipschitz continuity
by: Hamiss, Kabenge, et al.
Published: (2026)

A novel numerical method tailored for unconstrained optimization problems
by: Li, Lin, et al.
Published: (2025)

Shifted Matrix-Sign Reflectors for Prescribed-Index Eigenspace Reflection
by: Zhao, Jin
Published: (2026)

Convergence Analysis of Two Alternating Iterative Schemes for Tucker Decomposition
by: Li, Ren-Cang, et al.
Published: (2026)

A Sequential Homotopy Method for Mathematical Programming Problems
by: Potschka, Andreas, et al.
Published: (2019)

An efficient topology optimization algorithm for large-scale three-dimensional structures
by: Vitorino, Alfredo, et al.
Published: (2023)

Technical results on the convergence of quasi-Newton methods for nonsmooth optimization
by: Gebken, Bennet
Published: (2025)

Accelerated Gradient Methods with Gradient Restart: Global Linear Convergence
by: Bao, Chenglong, et al.
Published: (2024)

The Global R-linear Convergence of Nesterov's Accelerated Gradient Method with Unknown Strongly Convex Parameter
by: Bao, Chenglong, et al.
Published: (2023)

Stochastic Approach for Price Optimization Problems with Decision-dependent Uncertainty
by: Hikima, Yuya, et al.
Published: (2023)

An investigation of stochastic trust-region based algorithms for finite-sum minimization
by: Bellavia, Stefania, et al.
Published: (2024)

Useful Compact Representations for Data-Fitting
by: Brust, Johannes J.
Published: (2024)

A descent method for nonsmooth multiobjective optimization problems on Riemannian manifolds
by: Tang, Chunming, et al.
Published: (2023)

A practical randomized trust-region method to escape saddle points in high dimension
by: Dragomir, Radu-Alexandru, et al.
Published: (2026)