Matrix Completion with Cross-Concentrated Sampling: Bridging Uniform Sampling and CUR Sampling
Fuente:
arXiv
Saved in:
| Main Authors: | Cai, HanQin, Huang, Longxiu, Li, Pengyu, Needell, Deanna |
|---|---|
| Format: | Preprint |
| Published: |
2022
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Guaranteed Sampling Flexibility for Low-tubal-rank Tensor Completion
by: Su, Bowen, et al.
Published: (2024)
by: Su, Bowen, et al.
Published: (2024)
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)
On the Robustness of Cross-Concentrated Sampling for Matrix Completion
by: Cai, HanQin, et al.
Published: (2024)
by: Cai, HanQin, et al.
Published: (2024)
Robust Spectral Recovery for Dynamical Sampling
by: Cai, HanQin, et al.
Published: (2026)
by: Cai, HanQin, et al.
Published: (2026)
Coseparable Nonnegative Tensor Factorization With T-CUR Decomposition
by: Chen, Juefei, et al.
Published: (2024)
by: Chen, Juefei, et al.
Published: (2024)
Randomized Kaczmarz in Adversarial Distributed Setting
by: Huang, Longxiu, et al.
Published: (2023)
by: Huang, Longxiu, et al.
Published: (2023)
Randomized Space-Time Sampling for Affine Graph Dynamical Systems
by: Gong, Le, et al.
Published: (2025)
by: Gong, Le, et al.
Published: (2025)
Cauchy Random Features for Operator Learning in Sobolev Space
by: Liao, Chunyang, et al.
Published: (2025)
by: Liao, Chunyang, et al.
Published: (2025)
Learn to Evolve: Self-supervised Neural JKO Operator for Wasserstein Gradient Flow
by: Feng, Xue, et al.
Published: (2026)
by: Feng, Xue, et al.
Published: (2026)
Kernel Alignment for Unsupervised Feature Selection via Matrix Factorization
by: Lin, Ziyuan, et al.
Published: (2024)
by: Lin, Ziyuan, et al.
Published: (2024)
Tensor Completion with Nearly Linear Samples Given Weak Side Information
by: Yu, Christina Lee, et al.
Published: (2020)
by: Yu, Christina Lee, et al.
Published: (2020)
Wedge Sampling: Efficient Tensor Completion with Nearly-Linear Sample Complexity
by: Luo, Hengrui, et al.
Published: (2026)
by: Luo, Hengrui, et al.
Published: (2026)
Property Inheritance for Subtensors in Tensor Train Decompositions
by: Cai, HanQin, et al.
Published: (2025)
by: Cai, HanQin, et al.
Published: (2025)
Stochastic gradient descent for streaming linear and rectified linear systems with adversarial corruptions
by: Jeong, Halyun, et al.
Published: (2024)
by: Jeong, Halyun, et al.
Published: (2024)
Curvature Corrected Nonnegative Manifold Data Factorization
by: Chew, Joyce, et al.
Published: (2025)
by: Chew, Joyce, et al.
Published: (2025)
Revisiting CUR Perturbation Analysis: A Local Tangent-Space Expansion
by: Huang, Longxiu
Published: (2026)
by: Huang, Longxiu
Published: (2026)
Gradient Flows for Sampling: Mean-Field Models, Gaussian Approximations and Affine Invariance
by: Chen, Yifan, et al.
Published: (2023)
by: Chen, Yifan, et al.
Published: (2023)
Randomized Kaczmarz Methods with Beyond-Krylov Convergence
by: Dereziński, Michał, et al.
Published: (2025)
by: Dereziński, Michał, et al.
Published: (2025)
Block Matrix and Tensor Randomized Kaczmarz Methods for Linear Feasibility Problems
by: Zhang, Minxin, et al.
Published: (2024)
by: Zhang, Minxin, et al.
Published: (2024)
Debiasing Random Oblique Projections for Subsampled OLS and Fast CUR in High Dimensions
by: Niu, Chengmei, et al.
Published: (2026)
by: Niu, Chengmei, et al.
Published: (2026)
Sample Efficient Learning of Factored Embeddings of Tensor Fields
by: Heo, Taemin, et al.
Published: (2022)
by: Heo, Taemin, et al.
Published: (2022)
On the Convergence of Irregular Sampling in Reproducing Kernel Hilbert Spaces
by: Iske, Armin
Published: (2025)
by: Iske, Armin
Published: (2025)
Decoupled Diffusion Sampling for Inverse Problems on Function Spaces
by: Lin, Thomas Y. L., et al.
Published: (2026)
by: Lin, Thomas Y. L., et al.
Published: (2026)
Symmetric Matrix Completion with ReLU Sampling
by: Liu, Huikang, et al.
Published: (2024)
by: Liu, Huikang, et al.
Published: (2024)
Fine-grained Analysis and Faster Algorithms for Iteratively Solving Linear Systems
by: Dereziński, Michał, et al.
Published: (2024)
by: Dereziński, Michał, et al.
Published: (2024)
Sampling via Gradient Flows in the Space of Probability Measures
by: Chen, Yifan, et al.
Published: (2023)
by: Chen, Yifan, et al.
Published: (2023)
The Sample Complexity of Learning Lipschitz Operators with respect to Gaussian Measures
by: Adcock, Ben, et al.
Published: (2024)
by: Adcock, Ben, et al.
Published: (2024)
Distributional Sensitivity Analysis: Enabling Differentiability in Sample-Based Inference
by: Chuang, Pi-Yueh, et al.
Published: (2025)
by: Chuang, Pi-Yueh, et al.
Published: (2025)
Kinetic Langevin Splitting Schemes for Constrained Sampling
by: Chada, Neil K., et al.
Published: (2026)
by: Chada, Neil K., et al.
Published: (2026)
Adversarial Adaptive Sampling: Unify PINN and Optimal Transport for the Approximation of PDEs
by: Tang, Kejun, et al.
Published: (2023)
by: Tang, Kejun, et al.
Published: (2023)
Quantile-Based Randomized Kaczmarz for Corrupted Tensor Linear Systems
by: Castillo, Alejandra, et al.
Published: (2025)
by: Castillo, Alejandra, et al.
Published: (2025)
Manifold Filter-Combine Networks
by: Johnson, David R., et al.
Published: (2023)
by: Johnson, David R., et al.
Published: (2023)
The Geometry of the Pivot: A Note on Lazy Pivoted Cholesky and Farthest Point Sampling
by: Shabat, Gil
Published: (2026)
by: Shabat, Gil
Published: (2026)
RL-PINNs: Reinforcement Learning-Driven Adaptive Sampling for Efficient Training of PINNs
by: Song, Zhenao
Published: (2025)
by: Song, Zhenao
Published: (2025)
Instance-Wise Adaptive Sampling for Dataset Construction in Approximating Inverse Problem Solutions
by: Han, Jiequn, et al.
Published: (2025)
by: Han, Jiequn, et al.
Published: (2025)
Finite Samples for Shallow Neural Networks
by: Xia, Yu, et al.
Published: (2025)
by: Xia, Yu, et al.
Published: (2025)
Median of Means Sampling for the Keister Function
by: Zhang, Bocheng
Published: (2025)
by: Zhang, Bocheng
Published: (2025)
Efficient Numerical Integration in Reproducing Kernel Hilbert Spaces via Leverage Scores Sampling
by: Chatalic, Antoine, et al.
Published: (2023)
by: Chatalic, Antoine, et al.
Published: (2023)
Sequential Minimal Optimization for $\varepsilon$-SVR with MAPE Loss and Sample-Dependent Box Constraints
by: Benavides-Herrera, Pablo, et al.
Published: (2026)
by: Benavides-Herrera, Pablo, et al.
Published: (2026)
Determinant-Based Error Bounds for CUR Matrix Approximation: Oversampling and Volume Sampling
by: de Hoog, Frank, et al.
Published: (2025)
by: de Hoog, Frank, et al.
Published: (2025)
Similar Items
-
Guaranteed Sampling Flexibility for Low-tubal-rank Tensor Completion
by: Su, Bowen, et al.
Published: (2024) -
Robust Tensor CUR Decompositions: Rapid Low-Tucker-Rank Tensor Recovery with Sparse Corruption
by: Cai, HanQin, et al.
Published: (2023) -
On the Robustness of Cross-Concentrated Sampling for Matrix Completion
by: Cai, HanQin, et al.
Published: (2024) -
Robust Spectral Recovery for Dynamical Sampling
by: Cai, HanQin, et al.
Published: (2026) -
Coseparable Nonnegative Tensor Factorization With T-CUR Decomposition
by: Chen, Juefei, et al.
Published: (2024)