Tensor Decomposition Meets RKHS: Efficient Algorithms for Smooth and Misaligned Data
Fuente:
arXiv
Saved in:
| Main Authors: | Larsen, Brett W., Kolda, Tamara G., Zhang, Anru R., Williams, Alex H. |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Tensor Decomposition with Unaligned Observations
by: Tang, Runshi, et al.
Published: (2024)
by: Tang, Runshi, et al.
Published: (2024)
Revisiting Approximate Leverage Score Sketching for Matrix Least Squares
by: Larsen, Brett W., et al.
Published: (2022)
by: Larsen, Brett W., et al.
Published: (2022)
Revisit CP Tensor Decomposition: Statistical Optimality and Fast Convergence
by: Tang, Runshi, et al.
Published: (2025)
by: Tang, Runshi, et al.
Published: (2025)
A Provably Efficient Method for Tensor Ring Decomposition and Its Applications
by: Chen, Han, et al.
Published: (2025)
by: Chen, Han, et al.
Published: (2025)
Generalized Canonical Polyadic Tensor Decompositions with General Symmetry
by: Mulrooney, Alex, et al.
Published: (2026)
by: Mulrooney, Alex, et al.
Published: (2026)
Fast and Accurate CP-HIFI Tensor Decompositions: Exploiting Kronecker Structure
by: Brust, Johannes J., et al.
Published: (2026)
by: Brust, Johannes J., et al.
Published: (2026)
Efficient Tensor Completion Algorithms for Highly Oscillatory Operators
by: Singh, Navjot, et al.
Published: (2025)
by: Singh, Navjot, et al.
Published: (2025)
Randomized Tensor Ring Decomposition and Its Application to Large-scale Data Reconstruction
by: Yuan, Longhao, et al.
Published: (2019)
by: Yuan, Longhao, et al.
Published: (2019)
The Fascinating World of 2 $\times$ 2 $\times$ 2 Tensors: Its Geometry and Optimization Challenges
by: Brown, Gabriel H., et al.
Published: (2025)
by: Brown, Gabriel H., et al.
Published: (2025)
Coseparable Nonnegative Tensor Factorization With T-CUR Decomposition
by: Chen, Juefei, et al.
Published: (2024)
by: Chen, Juefei, et al.
Published: (2024)
Time Extrapolation with Graph Convolutional Autoencoder and Tensor Train Decomposition
by: Chen, Yuanhong, et al.
Published: (2025)
by: Chen, Yuanhong, et al.
Published: (2025)
Mode-wise Principal Subspace Pursuit and Matrix Spiked Covariance Model
by: Tang, Runshi, et al.
Published: (2023)
by: Tang, Runshi, et al.
Published: (2023)
Sample Efficient Learning of Factored Embeddings of Tensor Fields
by: Heo, Taemin, et al.
Published: (2022)
by: Heo, Taemin, et al.
Published: (2022)
Smoothness Adaptivity in Constant-Depth Neural Networks: Optimal Rates via Smooth Activations
by: Liu, Yuhao, et al.
Published: (2026)
by: Liu, Yuhao, et al.
Published: (2026)
A Short Note on Batch-efficient Divide-and-Conquer Algorithm for EigenDecomposition
by: Song, Yue
Published: (2026)
by: Song, Yue
Published: (2026)
TensorGPT: Efficient Compression of Large Language Models based on Tensor-Train Decomposition
by: Xu, Mingxue, et al.
Published: (2023)
by: Xu, Mingxue, et al.
Published: (2023)
Data-Efficient Kernel Methods for Learning Differential Equations and Their Solution Operators: Algorithms and Error Analysis
by: Jalalian, Yasamin, et al.
Published: (2025)
by: Jalalian, Yasamin, et al.
Published: (2025)
Digital Twin Data Modelling by Randomized Orthogonal Decomposition and Deep Learning
by: Bistrian, Diana Alina, et al.
Published: (2022)
by: Bistrian, Diana Alina, et al.
Published: (2022)
A Data-Driven Interpolation Method on Smooth Manifolds via Diffusion Processes and Voronoi Tessellations
by: Gomez, Alvaro Almeida
Published: (2025)
by: Gomez, Alvaro Almeida
Published: (2025)
Revisiting Orbital Minimization Method for Neural Operator Decomposition
by: Ryu, J. Jon, et al.
Published: (2025)
by: Ryu, J. Jon, et al.
Published: (2025)
A New Tensor Network: Tubal Tensor Train and Its Applications
by: Ahmadi-Asl, Salman, et al.
Published: (2026)
by: Ahmadi-Asl, Salman, et al.
Published: (2026)
On Spectral Learning for Odeco Tensors: Perturbation, Initialization, and Algorithms
by: Auddy, Arnab, et al.
Published: (2025)
by: Auddy, Arnab, et al.
Published: (2025)
One-dimensional Tensor Network Recovery
by: Chen, Ziang, et al.
Published: (2022)
by: Chen, Ziang, et al.
Published: (2022)
Sketch 'n Solve: An Efficient Python Package for Large-Scale Least Squares Using Randomized Numerical Linear Algebra
by: Lavaee, Alex
Published: (2024)
by: Lavaee, Alex
Published: (2024)
Computation-Aware Kalman Filtering and Smoothing
by: Pförtner, Marvin, et al.
Published: (2024)
by: Pförtner, Marvin, et al.
Published: (2024)
Matrix Decomposition and Applications
by: Lu, Jun
Published: (2022)
by: Lu, Jun
Published: (2022)
When Langevin Monte Carlo Meets Randomization: New Sampling Algorithms with Non-asymptotic Error Bounds beyond Log-Concavity and Gradient Lipschitzness
by: Wang, Xiaojie, et al.
Published: (2025)
by: Wang, Xiaojie, et al.
Published: (2025)
Symmetry & Critical Points for Symmetric Tensor Decomposition Problems
by: Arjevani, Yossi, et al.
Published: (2023)
by: Arjevani, Yossi, et al.
Published: (2023)
Discrete Differential Principle for Continuous Smooth Function Representation
by: Wang, Guoyou, et al.
Published: (2025)
by: Wang, Guoyou, et al.
Published: (2025)
Sharp Analysis of Power Iteration for Tensor PCA
by: Wu, Yuchen, et al.
Published: (2024)
by: Wu, Yuchen, et al.
Published: (2024)
Neural Network Approach to Stochastic Dynamics for Smooth Multimodal Density Estimation
by: Zarezadeh, Z., et al.
Published: (2025)
by: Zarezadeh, Z., et al.
Published: (2025)
Variational Bayesian Inference for Tensor Robust Principal Component Analysis
by: Wang, Chao, et al.
Published: (2024)
by: Wang, Chao, et al.
Published: (2024)
Guaranteed Sampling Flexibility for Low-tubal-rank Tensor Completion
by: Su, Bowen, et al.
Published: (2024)
by: Su, Bowen, et al.
Published: (2024)
Quantile-Based Randomized Kaczmarz for Corrupted Tensor Linear Systems
by: Castillo, Alejandra, et al.
Published: (2025)
by: Castillo, Alejandra, et al.
Published: (2025)
An Efficient Randomized Fixed-Precision Algorithm for Tensor Singular Value Decomposition
by: Ahmadi-Asl, Salman
Published: (2022)
by: Ahmadi-Asl, Salman
Published: (2022)
Fast and Provable Tensor-Train Format Tensor Completion via Precondtioned Riemannian Gradient Descent
by: Bian, Fengmiao, et al.
Published: (2025)
by: Bian, Fengmiao, et al.
Published: (2025)
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)
Convolutional Surrogate for 3D Discrete Fracture-Matrix Tensor Upscaling
by: Špetlík, Martin, et al.
Published: (2026)
by: Špetlík, Martin, et al.
Published: (2026)
Tensor train completion: local recovery guarantees via Riemannian optimization
by: Budzinskiy, Stanislav, et al.
Published: (2021)
by: Budzinskiy, Stanislav, et al.
Published: (2021)
Lower Bounds for the Convergence of Tensor Power Iteration on Random Overcomplete Models
by: Wu, Yuchen, et al.
Published: (2022)
by: Wu, Yuchen, et al.
Published: (2022)
Similar Items
-
Tensor Decomposition with Unaligned Observations
by: Tang, Runshi, et al.
Published: (2024) -
Revisiting Approximate Leverage Score Sketching for Matrix Least Squares
by: Larsen, Brett W., et al.
Published: (2022) -
Revisit CP Tensor Decomposition: Statistical Optimality and Fast Convergence
by: Tang, Runshi, et al.
Published: (2025) -
A Provably Efficient Method for Tensor Ring Decomposition and Its Applications
by: Chen, Han, et al.
Published: (2025) -
Generalized Canonical Polyadic Tensor Decompositions with General Symmetry
by: Mulrooney, Alex, et al.
Published: (2026)