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Anna Ma
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Year
Convergence properties of the randomized extended Gauss--Seidel and Kaczmarz methods
A Ma, D Needell, A Ramdas
SIAM Journal on Matrix Analysis and Applications 36 (4), 1590-1604, 2015
1902015
Greed works: An improved analysis of sampling Kaczmarz--Motzkin
J Haddock, A Ma
SIAM Journal on Mathematics of Data Science 3 (1), 342-368, 2021
462021
Stochastic gradient descent for linear systems with missing data
A Ma, D Needell
arXiv preprint arXiv:1702.07098, 2017
242017
An approximate message passing framework for side information
A Ma, Y Zhou, C Rush, D Baron, D Needell
IEEE Transactions on Signal Processing 67 (7), 1875-1888, 2019
202019
Randomized Kaczmarz for tensor linear systems
A Ma, D Molitor
BIT Numerical Mathematics 62 (1), 171-194, 2022
182022
Unsupervised record matching with noisy and incomplete data
Y Van Gennip, B Hunter, A Ma, D Moyer, R de Vera, AL Bertozzi
International Journal of Data Science and Analytics 6, 109-129, 2018
182018
Iterative methods for solving factorized linear systems
A Ma, D Needell, A Ramdas
SIAM Journal on Matrix Analysis and Applications 39 (1), 104-122, 2018
162018
Stochastic greedy algorithms for multiple measurement vectors
J Qin, S Li, D Needell, A Ma, R Grotheer, C Huang, N Durgin
arXiv preprint arXiv:1711.01521, 2017
152017
Iterative hard thresholding for low CP-rank tensor models
R Grotheer, S Li, A Ma, D Needell, J Qin
Linear and Multilinear Algebra 70 (22), 7452-7468, 2022
132022
Fast hyperspectral diffuse optical imaging method with joint sparsity
N Durgin, R Grotheer, C Huang, S Li, A Ma, D Needell, J Qin
2019 41st Annual International Conference of the IEEE Engineering in …, 2019
82019
Analysis of fast structured dictionary learning
S Ravishankar, A Ma, D Needell
Information and Inference: A Journal of the IMA 9 (4), 785-811, 2020
72020
Sparse randomized kaczmarz for support recovery of jointly sparse corrupted multiple measurement vectors
N Durgin, R Grotheer, C Huang, S Li, A Ma, D Needell, J Qin
Research in Data Science, 1-14, 2019
72019
Improving image clustering using sparse text and the wisdom of the crowds
A Ma, A Flenner, D Needell, AG Percus
2014 48th Asilomar Conference on Signals, Systems and Computers, 1555-1557, 2014
72014
Stochastic iterative hard thresholding for low-Tucker-rank tensor recovery
R Grotheer, S Li, A Ma, D Needell, J Qin
2020 Information Theory and Applications Workshop (ITA), 1-5, 2020
62020
Conditional approximate message passing with side information
D Baron, A Ma, D Needell, C Rush, T Woolf
2017 51st Asilomar Conference on Signals, Systems, and Computers, 430-434, 2017
52017
A gradient descent approach for incomplete linear systems
A Ma, D Needell
2018 52nd Asilomar Conference on Signals, Systems, and Computers, 764-768, 2018
32018
Jointly sparse signal recovery with prior info
N Durgin, R Grotheer, C Huang, S Li, A Ma, D Needell, J Qin
2019 53rd Asilomar Conference on Signals, Systems, and Computers, 645-649, 2019
22019
Compressed anomaly detection with multiple mixed observations
N Durgin, R Grotheer, C Huang, S Li, A Ma, D Needell, J Qin
Research in Data Science, 211-237, 2019
22019
Analysis of fast alternating minimization for structured dictionary learning
S Ravishankar, A Ma
2018 Information Theory and Applications Workshop (ITA), 1-9, 2018
22018
Robust recovery of low-rank matrices and low-tubal-rank tensors from noisy sketches
A Ma, D Stöger, Y Zhu
SIAM Journal on Matrix Analysis and Applications 44 (4), 1566-1588, 2023
12023
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Articles 1–20