Anna Ma

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 38

Top Topics

Greedy Algorithms

Top Venues

SIAM J. Matrix Anal. Appl.

Publications

El Houcine Bergou, Soumia Boucherouite, Aritra Dutta, Xin Li, Anna Ma
A Note on the Randomized Kaczmarz Algorithm for Solving Doubly Noisy Linear Systems. SIAM J. Matrix Anal. Appl. 45 (2) (2024)
El Houcine Bergou, Soumia Boucherouite, Aritra Dutta, Xin Li, Anna Ma
A Note on Randomized Kaczmarz Algorithm for Solving Doubly-Noisy Linear Systems. CoRR (2023)
Kathryn Dover, Zixuan Cang, Anna Ma, Qing Nie, Roman Vershynin
AVIDA: An alternating method for visualizing and integrating data. J. Comput. Sci. 68 (2023)
Rachel Grotheer, Shuang Li, Anna Ma, Deanna Needell, Jing Qin
Stochastic Natural Thresholding Algorithms. ACSSC (2023)
Anna Ma, Elizabeth Patitsas, Jonathan Sterne
You Sound Depressed: A Case Study on Sonde Health's Diagnostic Use of Voice Analysis AI. FAccT (2023)
Rachel Grotheer, Shuang Li, Anna Ma, Deanna Needell, Jing Qin
Stochastic Natural Thresholding Algorithms. CoRR (2023)
Jamie Haddock, Anna Ma, Elizaveta Rebrova
On Subsampled Quantile Randomized Kaczmarz. Allerton (2023)
Jamie Haddock, Anna Ma, Elizaveta Rebrova
On Subsampled Quantile Randomized Kaczmarz. CoRR (2023)
Yin-Ting Liao, Hengrui Luo, Anna Ma
Efficient and Robust Bayesian Selection of Hyperparameters in Dimension Reduction for Visualization. CoRR (2023)
Anna Ma, Dominik Stöger, Yizhe Zhu
Robust Recovery of Low-Rank Matrices and Low-Tubal-Rank Tensors from Noisy Sketches. SIAM J. Matrix Anal. Appl. 44 (4) (2023)
Chelsea Huynh, Anna Ma, Michael Strand
Block-missing data in linear systems: An unbiased stochastic gradient descent approach. Allerton (2023)
Chelsea Huynh, Anna Ma, Michael Strand
Block-missing data in linear systems: An unbiased stochastic gradient descent approach. CoRR (2023)
Kathryn Dover, Zixuan Cang, Anna Ma, Qing Nie, Roman Vershynin
AVIDA: Alternating method for Visualizing and Integrating Data. CoRR (2022)
Anna Ma, Dominik Stöger, Yizhe Zhu
Robust recovery of low-rank matrices and low-tubal-rank tensors from noisy sketches. CoRR (2022)
Eric Lybrand, Anna Ma, Rayan Saab
On the Number of Faces and Radii of Cells Induced by Gaussian Spherical Tessellations. CoRR (2021)
Jamie Haddock, Anna Ma
Greed Works: An Improved Analysis of Sampling Kaczmarz-Motzkin. SIAM J. Math. Data Sci. 3 (1) (2021)
Jesús A. De Loera, Jamie Haddock, Anna Ma, Deanna Needell
Data-driven algorithm selection and tuning in optimization and signal processing. Ann. Math. Artif. Intell. 89 (7) (2021)
Rachel Grotheer, Shuang Li, Anna Ma, Deanna Needell, Jing Qin
Stochastic Iterative Hard Thresholding for Low-Tucker-Rank Tensor Recovery. ITA (2020)
Anna Ma, Denali Molitor
Randomized Kaczmarz for Tensor Linear Systems. CoRR (2020)
Jesús A. De Loera, Jamie Haddock, Anna Ma, Deanna Needell
Data-driven Algorithm Selection and Parameter Tuning: Two Case studies in Optimization and Signal Processing. CoRR (2019)
Jamie Haddock, Anna Ma
Greed Works: An Improved Analysis of Sampling Kaczmarz-Motkzin. CoRR (2019)
Natalie Durgin, Rachel Grotheer, Chenxi Huang, Shuang Li, Anna Ma, Deanna Needell, Jing Qin
Fast Hyperspectral Diffuse Optical Imaging Method with Joint Sparsity. EMBC (2019)
Rachel Grotheer, Shuang Li, Anna Ma, Deanna Needell, Jing Qin
Iterative Hard Thresholding for Low CP-rank Tensor Models. CoRR (2019)
Rachel Grotheer, Shuang Li, Anna Ma, Deanna Needell, Jing Qin
Stochastic Iterative Hard Thresholding for Low-Tucker-Rank Tensor Recovery. CoRR (2019)
Anna Ma, You Joe Zhou, Cynthia Rush, Dror Baron, Deanna Needell
An Approximate Message Passing Framework for Side Information. IEEE Trans. Signal Process. 67 (7) (2019)
Natalie Durgin, Rachel Grotheer, Chenxi Huang, Shuang Li, Anna Ma, Deanna Needell, Jing Qin
Jointly Sparse Signal Recovery with Prior Info. ACSSC (2019)
Saiprasad Ravishankar, Anna Ma, Deanna Needell
Analysis of Fast Alternating Minimization for Structured Dictionary Learning. ITA (2018)
Natalie Durgin, Rachel Grotheer, Chenxi Huang, Shuang Li, Anna Ma, Deanna Needell, Jing Qin
Compressed Anomaly Detection with Multiple Mixed Observations. CoRR (2018)
Anna Ma, Deanna Needell
A Gradient Descent Approach for Incomplete Linear Systems. ACSSC (2018)
Anna Ma, You Joe Zhou, Cynthia Rush, Dror Baron, Deanna Needell
An Approximate Message Passing Framework for Side Information. CoRR (2018)
Anna Ma, Deanna Needell, Aaditya Ramdas
Iterative Methods for Solving Factorized Linear Systems. SIAM J. Matrix Anal. Appl. 39 (1) (2018)
Saiprasad Ravishankar, Anna Ma, Deanna Needell
Analysis of Fast Structured Dictionary Learning. CoRR (2018)
Saiprasad Ravishankar, Anna Ma, Deanna Needell
Analysis of Fast Alternating Minimization for Structured Dictionary Learning. CoRR (2018)
Yves van Gennip, Blake Hunter, Anna Ma, Daniel Moyer, Ryan de Vera, Andrea L. Bertozzi
Unsupervised record matching with noisy and incomplete data. Int. J. Data Sci. Anal. 6 (2) (2018)
Yves van Gennip, Blake Hunter, Anna Ma, Daniel Moyer, Ryan de Vera, Andrea L. Bertozzi
Unsupervised record matching with noisy and incomplete data. CoRR (2017)
Natalie Durgin, Rachel Grotheer, Chenxi Huang, Shuang Li, Anna Ma, Deanna Needell, Jing Qin
Sparse Randomized Kaczmarz for Support Recovery of Jointly Sparse Corrupted Multiple Measurement Vectors. CoRR (2017)
Jing Qin, Shuang Li, Deanna Needell, Anna Ma, Rachel Grotheer, Chenxi Huang, Natalie Durgin
Stochastic Greedy Algorithms For Multiple Measurement Vectors. CoRR (2017)
Dror Baron, Anna Ma, Deanna Needell, Cynthia Rush, Tina Woolf
Conditional approximate message passing with side information. ACSSC (2017)
Anna Ma, Deanna Needell, Aaditya Ramdas
Convergence Properties of the Randomized Extended Gauss-Seidel and Kaczmarz Methods. SIAM J. Matrix Anal. Appl. 36 (4) (2015)
Anna Ma, Arjuna Flenner, Deanna Needell, Allon G. Percus
Improving image clustering using sparse text and the wisdom of the crowds. ACSSC (2014)
Anna Ma, Arjuna Flenner, Deanna Needell, Allon G. Percus
Improving Image Clustering using Sparse Text and the Wisdom of the Crowds. CoRR (2014)