Elizaveta Rebrova

According to our database, Elizaveta Rebrova authored at least 21 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Stochastic gradient descent for streaming linear and rectified linear systems with Massart noise.

Halyun Jeong, Deanna Needell, Elizaveta Rebrova

CoRR, 2024

2023

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

Jackie Lok, Elizaveta Rebrova

CoRR, 2023

Fast and Low-Memory Compressive Sensing Algorithms for Low Tucker-Rank Tensor Approximation from Streamed Measurements.

Cullen Haselby, Mark A. Iwen, Deanna Needell, Elizaveta Rebrova, William Swartworth

CoRR, 2023

On Graph Uncertainty Principle and Eigenvector Delocalization.

Elizaveta Rebrova, Palina Salanevich

CoRR, 2023

On Subsampled Quantile Randomized Kaczmarz.

Jamie Haddock, Anna Ma, Elizaveta Rebrova

Proceedings of the 59th Annual Allerton Conference on Communication, 2023

2022

Quantile-Based Iterative Methods for Corrupted Systems of Linear Equations.

Jamie Haddock, Deanna Needell, Elizaveta Rebrova, William Swartworth

SIAM J. Matrix Anal. Appl., 2022

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

Michal Derezinski, Elizaveta Rebrova

CoRR, 2022

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

Lu Cheng, Benjamin Jarman, Deanna Needell, Elizaveta Rebrova

CoRR, 2022

2021

Lower Memory Oblivious (Tensor) Subspace Embeddings with Fewer Random Bits: Modewise Methods for Least Squares.

Mark A. Iwen, Deanna Needell, Elizaveta Rebrova, Ali Zare

SIAM J. Matrix Anal. Appl., 2021

On block Gaussian sketching for the Kaczmarz method.

Elizaveta Rebrova, Deanna Needell

Numer. Algorithms, 2021

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

Mark A. Iwen, Deanna Needell, Michael Perlmutter, Elizaveta Rebrova

CoRR, 2021

Nonlinear Matrix Approximation with Radial Basis Function Components.

Elizaveta Rebrova, Yu-Hang Tang

CoRR, 2021

Analysis of Legal Documents via Non-negative Matrix Factorization Methods.

Ryan Budahazy, Lu Cheng, Yihuan Huang, Andrew Johnson, Pengyu Li, Joshua Vendrow, Zhoutong Wu, Denali Molitor, Elizaveta Rebrova, Deanna Needell

CoRR, 2021

On a Guided Nonnegative Matrix Factorization.

Joshua Vendrow, Jamie Haddock, Elizaveta Rebrova, Deanna Needell

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

A parallel hierarchical blocked adaptive cross approximation algorithm.

Yang Liu, Wissam M. Sid-Lakhdar, Elizaveta Rebrova, Pieter Ghysels, Xiaoye Sherry Li

Int. J. High Perform. Comput. Appl., 2020

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

Lara Kassab, Alona Kryshchenko, Hanbaek Lyu, Denali Molitor, Deanna Needell, Elizaveta Rebrova

CoRR, 2020

Scalable and Memory-Efficient Kernel Ridge Regression.

Gustavo Chávez, Yang Liu, Pieter Ghysels, Xiaoye Sherry Li, Elizaveta Rebrova

Proceedings of the 2020 IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2020

COVID-19 Literature Topic-Based Search via Hierarchical NMF.

Rachel Grotheer, Longxiu Huang, Yihuan Huang, Alona Kryshchenko, Oleksandr Kryshchenko, Pengyu Li, Xia Li, Elizaveta Rebrova, Kyung Ha, Deanna Needell

Proceedings of the 1st Workshop on NLP for COVID-19@ EMNLP 2020, Online, December 2020, 2020

Stochastic Gradient Descent Variants for Corrupted Systems of Linear Equations.

Jamie Haddock, Deanna Needell, Elizaveta Rebrova, William Swartworth

Proceedings of the 54th Annual Conference on Information Sciences and Systems, 2020

2019

Sketching for Motzkin's Iterative Method for Linear Systems.

Elizaveta Rebrova, Deanna Needell

Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019

2018

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

Elizaveta Rebrova, Gustavo Chavez, Yang Liu, Pieter Ghysels, Xiaoye Sherry Li

Proceedings of the 2018 IEEE International Parallel and Distributed Processing Symposium Workshops, 2018