Cover Image

Well-Conditioned Oblivious Perturbations in Linear Space

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Chenakkod, Shabarish, Dereziński, Michał, Dong, Xiaoyu, Rudelson, Mark
Format:	Preprint
Published:	2026
Subjects:	Data Structures and Algorithms Machine Learning Numerical Analysis Probability
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Optimal Oblivious Subspace Embeddings with Near-optimal Sparsity
by: Chenakkod, Shabarish, et al.
Published: (2024)

Optimal Embedding Dimension for Sparse Subspace Embeddings
by: Chenakkod, Shabarish, et al.
Published: (2023)

Optimal Subspace Embeddings: Resolving Nelson-Nguyen Conjecture Up to Sub-Polylogarithmic Factors
by: Chenakkod, Shabarish, et al.
Published: (2025)

Accelerating Power Method with Fast Sketching for Stronger Low-Rank Approximation
by: Chenakkod, Shabarish, et al.
Published: (2026)

Distributed Least Squares in Small Space via Sketching and Bias Reduction
by: Garg, Sachin, et al.
Published: (2024)

Solving Dense Linear Systems Faster Than via Preconditioning
by: Dereziński, Michał, et al.
Published: (2023)

Approaching Optimality for Solving Dense Linear Systems with Low-Rank Structure
by: Dereziński, Michał, et al.
Published: (2025)

Towards Universal Convergence of Backward Error in Linear System Solvers
by: Dereziński, Michał, et al.
Published: (2026)

Faster Linear Systems and Matrix Norm Approximation via Multi-level Sketched Preconditioning
by: Dereziński, Michał, et al.
Published: (2024)

Fine-grained Analysis and Faster Algorithms for Iteratively Solving Linear Systems
by: Dereziński, Michał, et al.
Published: (2024)

Private Low-Rank Approximation for Covariance Matrices, Dyson Brownian Motion, and Eigenvalue-Gap Bounds for Gaussian Perturbations
by: Mangoubi, Oren, et al.
Published: (2025)

Randomized Kaczmarz Methods with Beyond-Krylov Convergence
by: Dereziński, Michał, et al.
Published: (2025)

Singular Subspace Perturbation Bounds via Rectangular Random Matrix Diffusions
by: Lai, Peiyao, et al.
Published: (2024)

Preserving Extreme Singular Values with One Oblivious Sketch
by: Mango, John M., et al.
Published: (2025)

The matrix-vector complexity of $Ax=b$
by: Dereziński, Michał, et al.
Published: (2026)

Probability Tools for Sequential Random Projection
by: Li, Yingru
Published: (2024)

Linear Systems and Eigenvalue Problems: Open Questions from a Simons Workshop
by: Amsel, Noah, et al.
Published: (2026)

Sinkhorn Algorithm for Sequentially Composed Optimal Transports
by: Watanabe, Kazuki, et al.
Published: (2024)

On the Robustness of the Successive Projection Algorithm
by: Barbarino, Giovanni, et al.
Published: (2024)

Black-Box $k$-to-$1$-PCA Reductions: Theory and Applications
by: Jambulapati, Arun, et al.
Published: (2024)

Query Efficient Structured Matrix Learning
by: Amsel, Noah, et al.
Published: (2025)

Arithmetical Binary Decision Tree Traversals
by: Zhang, Jinxiong
Published: (2022)

Faster Low-Rank Approximation and Kernel Ridge Regression via the Block-Nyström Method
by: Garg, Sachin, et al.
Published: (2025)

On Smale's 17th problem over the reals
by: Montanari, Andrea, et al.
Published: (2024)

Analysis of Langevin midpoint methods using an anticipative Girsanov theorem
by: Zhang, Matthew S.
Published: (2025)

Spectral Gaps with Quantum Counting Queries and Oblivious State Preparation
by: Vazquez, Almudena Carrera, et al.
Published: (2025)

Data organization limits the predictability of binary classification
by: Jing, Fei, et al.
Published: (2024)

Shifted Composition IV: Toward Ballistic Acceleration for Log-Concave Sampling
by: Altschuler, Jason M., et al.
Published: (2025)

Perturbation Bounds for Low-Rank Inverse Approximations under Noise
by: Tran, Phuc, et al.
Published: (2025)

Spectral Perturbation Bounds for Low-Rank Approximation with Applications to Privacy
by: Tran, Phuc, et al.
Published: (2025)

Complex Mean and Variance of Linear Regression Model for High-Noised Systems by Kriging
by: Suslo, Tomasz
Published: (2005)

Scalable network reconstruction in subquadratic time
by: Peixoto, Tiago P.
Published: (2024)

Algorithmic warm starts for Hamiltonian Monte Carlo
by: Zhang, Matthew S., et al.
Published: (2026)

Convergence of a L2 regularized Policy Gradient Algorithm for the Multi Armed Bandit
by: Anita, Stefana, et al.
Published: (2024)

Iterative Refinement for $\ell_p$-norm Regression
by: Adil, Deeksha, et al.
Published: (2019)

On computing and the complexity of computing higher-order $U$-statistics, exactly
by: Chen, Xingyu, et al.
Published: (2025)

Lower bounds for trace estimation via Block Krylov and other methods
by: Yu, Shi Jie
Published: (2025)

Shifted Composition III: Local Error Framework for KL Divergence
by: Altschuler, Jason M., et al.
Published: (2024)

Algorithms and data structures for automatic precision estimation of neural networks
by: Netay, Igor V.
Published: (2025)

On Computing Total Variation Distance Between Mixtures of Product Distributions
by: Feng, Weiming, et al.
Published: (2026)