Elizaveta Rebrova | DeepAI

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∙ 09/09/2023

A subspace constrained randomized Kaczmarz method for structure or external knowledge exploitation

We study a subspace constrained version of the randomized Kaczmarz algor...

0 Jackie Lok, et al. ∙

∙ 08/15/2023

On Subsampled Quantile Randomized Kaczmarz

When solving noisy linear systems Ax = b + c, the theoretical and empiri...

0 Jamie Haddock, et al. ∙

∙ 06/27/2023

On Graph Uncertainty Principle and Eigenvector Delocalization

Uncertainty principles present an important theoretical tool in signal p...

0 Elizaveta Rebrova, et al. ∙

∙ 08/20/2022

Sharp Analysis of Sketch-and-Project Methods via a Connection to Randomized Singular Value Decomposition

Sketch-and-project is a framework which unifies many known iterative met...

0 Michał Dereziński, et al. ∙

∙ 06/25/2022

On Block Accelerations of Quantile Randomized Kaczmarz for Corrupted Systems of Linear Equations

With the growth of large data as well as large-scale learning tasks, the...

0 Lu Cheng, et al. ∙

∙ 09/21/2021

Modewise Operators, the Tensor Restricted Isometry Property, and Low-Rank Tensor Recovery

Recovery of sparse vectors and low-rank matrices from a small number of ...

0 Mark A. Iwen, et al. ∙

∙ 06/03/2021

Nonlinear Matrix Approximation with Radial Basis Function Components

We introduce and investigate matrix approximation by decomposition into ...

21 Elizaveta Rebrova, et al. ∙

∙ 04/28/2021

Analysis of Legal Documents via Non-negative Matrix Factorization Methods

The California Innocence Project (CIP), a clinical law school program ai...

17 Ryan Budahazy, et al. ∙

∙ 10/22/2020

On a Guided Nonnegative Matrix Factorization

Fully unsupervised topic models have found fantastic success in document...

0 Joshua Vendrow, et al. ∙

∙ 10/04/2020

On Nonnegative Matrix and Tensor Decompositions for COVID-19 Twitter Dynamics

We analyze Twitter data relating to the COVID-19 pandemic using dynamic ...

0 Lara Kassab, et al. ∙

∙ 09/17/2020

Quantile-based Iterative Methods for Corrupted Systems of Linear Equations

Often in applications ranging from medical imaging and sensor networks t...

0 Jamie Haddock, et al. ∙

∙ 09/07/2020

COVID-19 Literature Topic-Based Search via Hierarchical NMF

A dataset of COVID-19-related scientific literature is compiled, combini...

0 Rachel Grotheer, et al. ∙

∙ 11/28/2019

Sketching for Motzkin's Iterative Method for Linear Systems

Projection-based iterative methods for solving large over-determined lin...

0 Elizaveta Rebrova, et al. ∙

∙ 03/27/2018

A Study of Clustering Techniques and Hierarchical Matrix Formats for Kernel Ridge Regression

We present memory-efficient and scalable algorithms for kernel methods u...

0 Elizaveta Rebrova, et al. ∙

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