Saved in:
| Main Authors: | Cheng, Zhengyun, Wang, Changhao, Zhang, Guanwen, Xu, Yi, Zhou, Wei, Ji, Xiangyang |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2506.22295 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Low-Rank Tensor Recovery via Variational Schatten-p Quasi-Norm and Jacobian Regularization
by: Cheng, Zhengyun, et al.
Published: (2025)
by: Cheng, Zhengyun, et al.
Published: (2025)
PromptMono: Cross Prompting Attention for Self-Supervised Monocular Depth Estimation in Challenging Environments
by: Wang, Changhao, et al.
Published: (2025)
by: Wang, Changhao, et al.
Published: (2025)
Joint Tensor and Inter-View Low-Rank Recovery for Incomplete Multiview Clustering
by: Wang, Jianyu, et al.
Published: (2025)
by: Wang, Jianyu, et al.
Published: (2025)
Low-Tubal-Rank Tensor Recovery via Factorized Gradient Descent
by: Liu, Zhiyu, et al.
Published: (2024)
by: Liu, Zhiyu, et al.
Published: (2024)
Efficient Generalized Low-Rank Tensor Contextual Bandits
by: Yi, Qianxin, et al.
Published: (2023)
by: Yi, Qianxin, et al.
Published: (2023)
Low-Rank Tensor Learning by Generalized Nonconvex Regularization
by: Xia, Sijia, et al.
Published: (2024)
by: Xia, Sijia, et al.
Published: (2024)
Low-Rank Tensors for Multi-Dimensional Markov Models
by: Navarro, Madeline, et al.
Published: (2024)
by: Navarro, Madeline, et al.
Published: (2024)
Stochastic Weakly Convex Optimization Under Heavy-Tailed Noises
by: Zhu, Tianxi, et al.
Published: (2025)
by: Zhu, Tianxi, et al.
Published: (2025)
Statistical Inference for Low-Rank Tensor Models
by: Xu, Ke, et al.
Published: (2025)
by: Xu, Ke, et al.
Published: (2025)
Robust Low-rank Tensor Train Recovery
by: Qin, Zhen, et al.
Published: (2024)
by: Qin, Zhen, et al.
Published: (2024)
LoRETTA: Low-Rank Economic Tensor-Train Adaptation for Ultra-Low-Parameter Fine-Tuning of Large Language Models
by: Yang, Yifan, et al.
Published: (2024)
by: Yang, Yifan, et al.
Published: (2024)
Penalizing Localized Dirichlet Energies in Low Rank Tensor Products
by: Karakasis, Paris A., et al.
Published: (2026)
by: Karakasis, Paris A., et al.
Published: (2026)
Robust Tensor CUR Decompositions: Rapid Low-Tucker-Rank Tensor Recovery with Sparse Corruption
by: Cai, HanQin, et al.
Published: (2023)
by: Cai, HanQin, et al.
Published: (2023)
Low-Rank Tensor Decompositions for the Theory of Neural Networks
by: Borsoi, Ricardo, et al.
Published: (2025)
by: Borsoi, Ricardo, et al.
Published: (2025)
Low Tensor-Rank Adaptation of Kolmogorov--Arnold Networks
by: Gao, Yihang, et al.
Published: (2025)
by: Gao, Yihang, et al.
Published: (2025)
Low Rank Tensor Completion via Adaptive ADMM
by: Führling, Niclas, et al.
Published: (2026)
by: Führling, Niclas, et al.
Published: (2026)
Structure-Preserving Margin Distribution Learning for High-Order Tensor Data with Low-Rank Decomposition
by: Xu, Yang, et al.
Published: (2025)
by: Xu, Yang, et al.
Published: (2025)
When Less Is More: Binary Feedback Can Outperform Ordinal Comparisons in Ranking Recovery
by: Xu, Shirong, et al.
Published: (2025)
by: Xu, Shirong, et al.
Published: (2025)
Semi-supervised Symmetric Non-negative Matrix Factorization with Low-Rank Tensor Representation
by: Jia, Yuheng, et al.
Published: (2024)
by: Jia, Yuheng, et al.
Published: (2024)
MetaLoRA: Tensor-Enhanced Adaptive Low-Rank Fine-tuning
by: Wang, Maolin, et al.
Published: (2025)
by: Wang, Maolin, et al.
Published: (2025)
Low-Rank Tensor Approximation of Weights in Large Language Models via Cosine Lanczos Bidiagonalization
by: Ichi, A. El, et al.
Published: (2026)
by: Ichi, A. El, et al.
Published: (2026)
LoTR: Low Tensor Rank Weight Adaptation
by: Bershatsky, Daniel, et al.
Published: (2024)
by: Bershatsky, Daniel, et al.
Published: (2024)
FlyLoRA: Boosting Task Decoupling and Parameter Efficiency via Implicit Rank-Wise Mixture-of-Experts
by: Zou, Heming, et al.
Published: (2025)
by: Zou, Heming, et al.
Published: (2025)
A Random Matrix Approach to Low-Multilinear-Rank Tensor Approximation
by: Lebeau, Hugo, et al.
Published: (2024)
by: Lebeau, Hugo, et al.
Published: (2024)
Dynamic Low-Rank Sparse Adaptation for Large Language Models
by: Huang, Weizhong, et al.
Published: (2025)
by: Huang, Weizhong, et al.
Published: (2025)
A Muon-Accelerated Algorithm for Low Separation Rank Tensor Generalized Linear Models
by: Liang, Xiao, et al.
Published: (2026)
by: Liang, Xiao, et al.
Published: (2026)
Joint Bayesian Parameter and Model Order Estimation for Low-Rank Probability Mass Tensors
by: Chege, Joseph K., et al.
Published: (2024)
by: Chege, Joseph K., et al.
Published: (2024)
Multilinear Tensor Low-Rank Approximation for Policy-Gradient Methods in Reinforcement Learning
by: Rozada, Sergio, et al.
Published: (2025)
by: Rozada, Sergio, et al.
Published: (2025)
Addressing Finite-Horizon MDPs via Low-Rank Tensor Value Approximation
by: Rozada, Sergio, et al.
Published: (2025)
by: Rozada, Sergio, et al.
Published: (2025)
Extra-Merge: Tracing the Rank-1 Subspace of Model Merging in Language Model Pre-Training
by: Zhou, Wenjie, et al.
Published: (2026)
by: Zhou, Wenjie, et al.
Published: (2026)
Reparameterized Tensor Ring Functional Decomposition for Multi-Dimensional Data Recovery
by: Xu, Yangyang, et al.
Published: (2026)
by: Xu, Yangyang, et al.
Published: (2026)
Low-Rank Bandits via Tight Two-to-Infinity Singular Subspace Recovery
by: Jedra, Yassir, et al.
Published: (2024)
by: Jedra, Yassir, et al.
Published: (2024)
Finer Parameter Steps for Low-Rank PEFT: A Controlled Study with CP Tensor Adapters
by: Wang, Xinjue, et al.
Published: (2026)
by: Wang, Xinjue, et al.
Published: (2026)
Joint Tensor-Train Parameterization for Efficient and Expressive Low-Rank Adaptation
by: Qi, Jun, et al.
Published: (2025)
by: Qi, Jun, et al.
Published: (2025)
Stochastic Low-rank Tensor Bandits for Multi-dimensional Online Decision Making
by: Zhou, Jie, et al.
Published: (2020)
by: Zhou, Jie, et al.
Published: (2020)
Tensor and Matrix Low-Rank Value-Function Approximation in Reinforcement Learning
by: Rozada, Sergio, et al.
Published: (2022)
by: Rozada, Sergio, et al.
Published: (2022)
Convolutionally Low-Rank Models with Modified Quantile Regression for Interval Time Series Forecasting
by: Zhu, Miaoxuan, et al.
Published: (2026)
by: Zhu, Miaoxuan, et al.
Published: (2026)
Efficient Low-Tubal-Rank Tensor Estimation via Alternating Preconditioned Gradient Descent
by: Liu, Zhiyu, et al.
Published: (2025)
by: Liu, Zhiyu, et al.
Published: (2025)
Rate-Optimal Rank Aggregation with Private Pairwise Rankings
by: Xu, Shirong, et al.
Published: (2024)
by: Xu, Shirong, et al.
Published: (2024)
Accelerating Large-Scale Regularized High-Order Tensor Recovery
by: Qin, Wenjin, et al.
Published: (2025)
by: Qin, Wenjin, et al.
Published: (2025)
Similar Items
-
Low-Rank Tensor Recovery via Variational Schatten-p Quasi-Norm and Jacobian Regularization
by: Cheng, Zhengyun, et al.
Published: (2025) -
PromptMono: Cross Prompting Attention for Self-Supervised Monocular Depth Estimation in Challenging Environments
by: Wang, Changhao, et al.
Published: (2025) -
Joint Tensor and Inter-View Low-Rank Recovery for Incomplete Multiview Clustering
by: Wang, Jianyu, et al.
Published: (2025) -
Low-Tubal-Rank Tensor Recovery via Factorized Gradient Descent
by: Liu, Zhiyu, et al.
Published: (2024) -
Efficient Generalized Low-Rank Tensor Contextual Bandits
by: Yi, Qianxin, et al.
Published: (2023)