Elizaveta Rebrova

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 32

Top Topics

Negative Matrix Factorization

Iterative Methods

Matrix Approximation

Top Venues

SIAM J. Matrix Anal. Appl.

SIAM J. Math. Data Sci.

Publications

Jackie Lok, Rishi Sonthalia, Elizaveta Rebrova
Discrete error dynamics of mini-batch gradient descent for least squares regression. CoRR (2024)
Halyun Jeong, Deanna Needell, Elizaveta Rebrova
Stochastic gradient descent for streaming linear and rectified linear systems with Massart noise. CoRR (2024)
Michal Derezinski, Elizaveta Rebrova
Sharp Analysis of Sketch-and-Project Methods via a Connection to Randomized Singular Value Decomposition. SIAM J. Math. Data Sci. 6 (1) (2024)
Michal Derezinski, Daniel LeJeune, Deanna Needell, Elizaveta Rebrova
Fine-grained Analysis and Faster Algorithms for Iteratively Solving Linear Systems. CoRR (2024)
Rishi Sonthalia, Jackie Lok, Elizaveta Rebrova
On Regularization via Early Stopping for Least Squares Regression. CoRR (2024)
Elizaveta Rebrova, Palina Salanevich
On Graph Uncertainty Principle and Eigenvector Delocalization. CoRR (2023)
Jackie Lok, Elizaveta Rebrova
A subspace constrained randomized Kaczmarz method for structure or external knowledge exploitation. CoRR (2023)
Jamie Haddock, Anna Ma, Elizaveta Rebrova
On Subsampled Quantile Randomized Kaczmarz. Allerton (2023)
Cullen Haselby, Mark A. Iwen, Deanna Needell, Elizaveta Rebrova, William Swartworth
Fast and Low-Memory Compressive Sensing Algorithms for Low Tucker-Rank Tensor Approximation from Streamed Measurements. CoRR (2023)
Jamie Haddock, Anna Ma, Elizaveta Rebrova
On Subsampled Quantile Randomized Kaczmarz. CoRR (2023)
Lu Cheng, Benjamin Jarman, Deanna Needell, Elizaveta Rebrova
On Block Accelerations of Quantile Randomized Kaczmarz for Corrupted Systems of Linear Equations. CoRR (2022)
Jamie Haddock, Deanna Needell, Elizaveta Rebrova, William Swartworth
Quantile-Based Iterative Methods for Corrupted Systems of Linear Equations. SIAM J. Matrix Anal. Appl. 43 (2) (2022)
Michal Derezinski, Elizaveta Rebrova
Sharp Analysis of Sketch-and-Project Methods via a Connection to Randomized Singular Value Decomposition. CoRR (2022)
Mark A. Iwen, Deanna Needell, Michael Perlmutter, Elizaveta Rebrova
Modewise Operators, the Tensor Restricted Isometry Property, and Low-Rank Tensor Recovery. CoRR (2021)
Elizaveta Rebrova, Deanna Needell
On block Gaussian sketching for the Kaczmarz method. Numer. Algorithms 86 (1) (2021)
Mark A. Iwen, Deanna Needell, Elizaveta Rebrova, Ali Zare
Lower Memory Oblivious (Tensor) Subspace Embeddings with Fewer Random Bits: Modewise Methods for Least Squares. SIAM J. Matrix Anal. Appl. 42 (1) (2021)
Ryan Budahazy, Lu Cheng, Yihuan Huang, Andrew Johnson, Pengyu Li, Joshua Vendrow, Zhoutong Wu, Denali Molitor, Elizaveta Rebrova, Deanna Needell
Analysis of Legal Documents via Non-negative Matrix Factorization Methods. CoRR (2021)
Joshua Vendrow, Jamie Haddock, Elizaveta Rebrova, Deanna Needell
On a Guided Nonnegative Matrix Factorization. ICASSP (2021)
Elizaveta Rebrova, Yu-Hang Tang
Nonlinear Matrix Approximation with Radial Basis Function Components. CoRR (2021)
Gustavo Chávez, Yang Liu, Pieter Ghysels, Xiaoye Sherry Li, Elizaveta Rebrova
Scalable and Memory-Efficient Kernel Ridge Regression. IPDPS (2020)
Jamie Haddock, Deanna Needell, Elizaveta Rebrova, William Swartworth
Stochastic Gradient Descent Variants for Corrupted Systems of Linear Equations. CISS (2020)
Jamie Haddock, Deanna Needell, Elizaveta Rebrova, William Swartworth
Quantile-based Iterative Methods for Corrupted Systems of Linear Equations. CoRR (2020)
Yang Liu, Wissam M. Sid-Lakhdar, Elizaveta Rebrova, Pieter Ghysels, Xiaoye Sherry Li
A parallel hierarchical blocked adaptive cross approximation algorithm. Int. J. High Perform. Comput. Appl. 34 (4) (2020)
Rachel Grotheer, Yihuan Huang, Pengyu Li, Elizaveta Rebrova, Deanna Needell, Longxiu Huang, Alona Kryshchenko, Xia Li, Kyung Ha, Oleksandr Kryshchenko
COVID-19 Literature Topic-Based Search via Hierarchical NMF. CoRR (2020)
Joshua Vendrow, Jamie Haddock, Elizaveta Rebrova, Deanna Needell
On a Guided Nonnegative Matrix Factorization. CoRR (2020)
Rachel Grotheer, Longxiu Huang, Yihuan Huang, Alona Kryshchenko, Oleksandr Kryshchenko, Pengyu Li, Xia Li, Elizaveta Rebrova, Kyung Ha, Deanna Needell
COVID-19 Literature Topic-Based Search via Hierarchical NMF. NLP4COVID@EMNLP (2020)
Lara Kassab, Alona Kryshchenko, Hanbaek Lyu, Denali Molitor, Deanna Needell, Elizaveta Rebrova
On Nonnegative Matrix and Tensor Decompositions for COVID-19 Twitter Dynamics. CoRR (2020)
Mark A. Iwen, Deanna Needell, Elizaveta Rebrova, Ali Zare
Lower Memory Oblivious (Tensor) Subspace Embeddings with Fewer Random Bits: Modewise Methods for Least Squares. CoRR (2019)
Elizaveta Rebrova, Deanna Needell
Sketching for Motzkin's Iterative Method for Linear Systems. CoRR (2019)
Elizaveta Rebrova, Deanna Needell
Sketching for Motzkin's Iterative Method for Linear Systems. ACSSC (2019)
Elizaveta Rebrova, Gustavo Chavez, Yang Liu, Pieter Ghysels, Xiaoye Sherry Li
A Study of Clustering Techniques and Hierarchical Matrix Formats for Kernel Ridge Regression. CoRR (2018)
Elizaveta Rebrova, Gustavo Chavez, Yang Liu, Pieter Ghysels, Xiaoye Sherry Li
A Study of Clustering Techniques and Hierarchical Matrix Formats for Kernel Ridge Regression. IPDPS Workshops (2018)