Improved Analysis of Khatri-Rao Random Projections and Applications
Fuente:
arXiv
Saved in:
| Main Authors: | Saibaba, Arvind K., Verma, Bhisham Dev, Ballard, Grey |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Adaptive Randomized Tensor Train Rounding using Khatri-Rao Products
by: Daas, Hussam Al, et al.
Published: (2025)
by: Daas, Hussam Al, et al.
Published: (2025)
Fast Exact Leverage Score Sampling from Khatri-Rao Products with Applications to Tensor Decomposition
by: Bharadwaj, Vivek, et al.
Published: (2023)
by: Bharadwaj, Vivek, et al.
Published: (2023)
Subspace embedding with random Khatri-Rao products and its application to eigensolvers
by: Bujanović, Zvonimir, et al.
Published: (2024)
by: Bujanović, Zvonimir, et al.
Published: (2024)
Stochastic Trace and Diagonal Estimator for Tensors
by: Verma, Bhisham Dev, et al.
Published: (2025)
by: Verma, Bhisham Dev, et al.
Published: (2025)
Parametric kernel low-rank approximations using tensor train decomposition
by: Khan, Abraham, et al.
Published: (2024)
by: Khan, Abraham, et al.
Published: (2024)
Many (most?) column subset selection criteria are NP hard for a few columns
by: Ipsen, Ilse C. F., et al.
Published: (2025)
by: Ipsen, Ilse C. F., et al.
Published: (2025)
Parametric Hierarchical Matrix Approximations to Kernel Matrices
by: Khan, Abraham, et al.
Published: (2025)
by: Khan, Abraham, et al.
Published: (2025)
Bridging the Gap Between Deterministic and Probabilistic Approaches to State Estimation
by: Kakasenko, Lev, et al.
Published: (2025)
by: Kakasenko, Lev, et al.
Published: (2025)
Efficient hyperparameter estimation in Bayesian inverse problems using sample average approximation
by: Chung, Julianne, et al.
Published: (2024)
by: Chung, Julianne, et al.
Published: (2024)
Randomized Preconditioned Solvers for Strong Constraint 4D-Var Data Assimilation
by: Subrahmanya, Amit N., et al.
Published: (2024)
by: Subrahmanya, Amit N., et al.
Published: (2024)
Improving LSH via Tensorized Random Projection
by: Verma, Bhisham Dev, et al.
Published: (2024)
by: Verma, Bhisham Dev, et al.
Published: (2024)
FlexTrace: Exchangeable Randomized Trace Estimation for Matrix Functions
by: Madhavan, Madhusudan, et al.
Published: (2026)
by: Madhavan, Madhusudan, et al.
Published: (2026)
Randomized Algorithms for Symmetric Nonnegative Matrix Factorization
by: Hayashi, Koby, et al.
Published: (2024)
by: Hayashi, Koby, et al.
Published: (2024)
Optimal sensor placement under model uncertainty in the weak-constraint 4D-Var framework
by: Alexanderian, Alen, et al.
Published: (2025)
by: Alexanderian, Alen, et al.
Published: (2025)
A Majorization-Minimization with Monte Carlo Approach for Hyperparameter Estimation
by: Buser, Elle, et al.
Published: (2026)
by: Buser, Elle, et al.
Published: (2026)
Bayesian D-Optimal Experimental Designs via Column Subset Selection
by: Eswar, Srinivas, et al.
Published: (2024)
by: Eswar, Srinivas, et al.
Published: (2024)
Optimal Sensor Placement in Gaussian Processes via Column Subset Selection
by: Chen, Jessie, et al.
Published: (2026)
by: Chen, Jessie, et al.
Published: (2026)
Stable Rank and Intrinsic Dimension of Real and Complex Matrices
by: Ipsen, Ilse C. F., et al.
Published: (2024)
by: Ipsen, Ilse C. F., et al.
Published: (2024)
Stochastic Trace Optimization of Parameter Dependent Matrices Based on Statistical Learning Theory
by: Saibaba, Arvind K., et al.
Published: (2025)
by: Saibaba, Arvind K., et al.
Published: (2025)
Rootfinding and Optimization Techniques for Solving Nonlinear Systems of Equations Arising from Cohesive Zone Models
by: Cattaneo, Alberto, et al.
Published: (2025)
by: Cattaneo, Alberto, et al.
Published: (2025)
A tensor-based dynamic mode decomposition based on the $\star_{\boldsymbol{M}}$-product
by: Saibaba, Arvind K., et al.
Published: (2025)
by: Saibaba, Arvind K., et al.
Published: (2025)
Parametric Level-sets Enhanced To Improve Reconstruction (PaLEnTIR)
by: Ozsar, Ege, et al.
Published: (2022)
by: Ozsar, Ege, et al.
Published: (2022)
Stability of the Rao-Nakra sandwich beam with a dissipation of fractional derivative type: theoretical and numerical study
by: Ammari, Kaïs, et al.
Published: (2024)
by: Ammari, Kaïs, et al.
Published: (2024)
Structured Column Subset Selection for Bayesian Optimal Experimental Design
by: Díaz, Hugo, et al.
Published: (2025)
by: Díaz, Hugo, et al.
Published: (2025)
Scientific Applications Leveraging Randomized Linear Algebra
by: Patel, Vivak, et al.
Published: (2025)
by: Patel, Vivak, et al.
Published: (2025)
Generalized Non-Standard Finite Difference Method for Fractional PDEs on Non-Uniform Grids
by: Mishra, Devank, et al.
Published: (2025)
by: Mishra, Devank, et al.
Published: (2025)
Parallel-in-Time Solutions with Random Projection Neural Networks
by: Betcke, Marta M., et al.
Published: (2024)
by: Betcke, Marta M., et al.
Published: (2024)
Statistical Rounding Error Analysis for Random Matrix Computations
by: Fang, Yiming, et al.
Published: (2024)
by: Fang, Yiming, et al.
Published: (2024)
An Adaptive CUR Algorithm and its Application to Reduced-Order Modeling of Random PDEs
by: Palkar, Grishma, et al.
Published: (2025)
by: Palkar, Grishma, et al.
Published: (2025)
Approximation Theory and Applications of Randomized Neural Networks for Solving High-Dimensional PDEs
by: De Ryck, T., et al.
Published: (2025)
by: De Ryck, T., et al.
Published: (2025)
Improving Smoothed Aggregation AMG Robustness on Stretched Mesh Applications
by: Siefert, Chris, et al.
Published: (2026)
by: Siefert, Chris, et al.
Published: (2026)
Approximate Projections onto the Positive Semidefinite Cone Using Randomization
by: Jones, Morgan, et al.
Published: (2024)
by: Jones, Morgan, et al.
Published: (2024)
Numerical Analysis of Stabilization for Random Hyperbolic Systems of Conservation Laws
by: Chu, Shaoshuai, et al.
Published: (2025)
by: Chu, Shaoshuai, et al.
Published: (2025)
A Precise Performance Analysis of the Randomized Singular Value Decomposition
by: Akhtiamov, Danil, et al.
Published: (2025)
by: Akhtiamov, Danil, et al.
Published: (2025)
Multifidelity sensor placement in Bayesian state estimation problems
by: Ramon, Gabriela, et al.
Published: (2026)
by: Ramon, Gabriela, et al.
Published: (2026)
Smoothed Circulant Embedding with Applications to Multilevel Monte Carlo Methods for PDEs with Random Coefficients
by: Istratuca, Anastasia, et al.
Published: (2023)
by: Istratuca, Anastasia, et al.
Published: (2023)
RGDBEK: Randomized Greedy Double Block Extended Kaczmarz Algorithm with Hybrid Parallel Implementation and Applications
by: Panchal, Aneesh, et al.
Published: (2025)
by: Panchal, Aneesh, et al.
Published: (2025)
Error Analysis of Randomized Symplectic Model Order Reduction for Hamiltonian systems
by: Herkert, Robin, et al.
Published: (2024)
by: Herkert, Robin, et al.
Published: (2024)
Adaptive-Growth Randomized Neural Networks for PDEs: Algorithms and Numerical Analysis
by: Dang, Haoning, et al.
Published: (2024)
by: Dang, Haoning, et al.
Published: (2024)
Efficient iterative methods for hyperparameter estimation in large-scale linear inverse problems
by: Hall-Hooper, Khalil A, et al.
Published: (2023)
by: Hall-Hooper, Khalil A, et al.
Published: (2023)
Similar Items
-
Adaptive Randomized Tensor Train Rounding using Khatri-Rao Products
by: Daas, Hussam Al, et al.
Published: (2025) -
Fast Exact Leverage Score Sampling from Khatri-Rao Products with Applications to Tensor Decomposition
by: Bharadwaj, Vivek, et al.
Published: (2023) -
Subspace embedding with random Khatri-Rao products and its application to eigensolvers
by: Bujanović, Zvonimir, et al.
Published: (2024) -
Stochastic Trace and Diagonal Estimator for Tensors
by: Verma, Bhisham Dev, et al.
Published: (2025) -
Parametric kernel low-rank approximations using tensor train decomposition
by: Khan, Abraham, et al.
Published: (2024)