Co-occurring keywords · papers mentioning both
Papers
Guaranteed Nonconvex Low-Rank Tensor Estimation via Scaled Gradient Descent
JMLR 2026
Score-Based Model for Low-Rank Tensor Recovery
AAAI 2026
Wedge Sampling: Efficient Tensor Completion with Nearly-Linear Sample Complexity
COLT 2026
KOALA: Kernel Coupling and Element Imputation Induced Multi-View Clustering
AAAI 2025
Saten: Sparse Augmented Tensor Networks for Post-Training Compression of Large Language Models
EMNLP 2025
Cross-View Diversity Embedded Consensus Learning for Multi-View Clustering
IJCAI 2024
Low-Rank Kernel Tensor Learning for Incomplete Multi-View Clustering
AAAI 2024
Group SLOPE Penalized Low-Rank Tensor Regression
JMLR 2023
Learning from Low Rank Tensor Data: A Random Tensor Theory Perspective
UAI 2023
Low-rank Tensor Estimation via Riemannian Gauss-Newton: Statistical Optimality and Second-Order Convergence
JMLR 2023
Statistical and Computational Limits for Tensor-on-Tensor Association Detection
COLT 2023
Fast Algorithm for Low-Rank Tensor Completion in Delay-Embedded Space
CVPR 2022
Provable Tensor-Train Format Tensor Completion by Riemannian Optimization
JMLR 2022
Scaling and Scalability: Provable Nonconvex Low-Rank Tensor Completion
AISTATS 2022
Scaling and Scalability: Provable Nonconvex Low-Rank Tensor Estimation from Incomplete Measurements
JMLR 2022
Clustering Ensemble Meets Low-rank Tensor Approximation
AAAI 2021
Understanding Deflation Process in Over-parametrized Tensor Decomposition
NeurIPS 2021
Unified Tensor Framework for Incomplete Multi-view Clustering and Missing-view Inferring
AAAI 2021
Sparse and Low-rank Tensor Estimation via Cubic Sketchings
AISTATS 2020
Tensor Completion Made Practical
NeurIPS 2020
Tensor denoising and completion based on ordinal observations
ICML 2020
Unified Graph and Low-Rank Tensor Learning for Multi-View Clustering
AAAI 2020
Union of Low-Rank Tensor Spaces: Clustering and Completion
JMLR 2020
Deep Tensor ADMM-Net for Snapshot Compressive Imaging
ICCV 2019
Efficient Nonconvex Regularized Tensor Completion with Structure-aware Proximal Iterations
ICML 2019