Anna Ma

According to our database, Anna Ma authored at least 33 papers between 2014 and 2024.

Collaborative distances:

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

2024

A Note on the Randomized Kaczmarz Algorithm for Solving Doubly Noisy Linear Systems.

El Houcine Bergou, Soumia Boucherouite, Aritra Dutta, Xin Li, Anna Ma

SIAM J. Matrix Anal. Appl., 2024

Reverse Quantile-RK and its Application to Quantile-RK.

Emeric Battaglia, Anna Ma

CoRR, 2024

Frontal Slice Approaches for Tensor Linear Systems.

Hengrui Luo, Anna Ma

CoRR, 2024

2023

Robust Recovery of Low-Rank Matrices and Low-Tubal-Rank Tensors from Noisy Sketches.

Anna Ma, Dominik Stöger, Yizhe Zhu

SIAM J. Matrix Anal. Appl., December, 2023

AVIDA: An alternating method for visualizing and integrating data.

Kathryn Dover, Zixuan Cang, Anna Ma, Qing Nie, Roman Vershynin

J. Comput. Sci., April, 2023

Efficient and Robust Bayesian Selection of Hyperparameters in Dimension Reduction for Visualization.

Yin-Ting Liao, Hengrui Luo, Anna Ma

CoRR, 2023

You Sound Depressed: A Case Study on Sonde Health's Diagnostic Use of Voice Analysis AI.

Anna Ma, Elizabeth Patitsas, Jonathan Sterne

Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023

Block-missing data in linear systems: An unbiased stochastic gradient descent approach.

Chelsea Huynh, Anna Ma, Michael Strand

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

On Subsampled Quantile Randomized Kaczmarz.

Jamie Haddock, Anna Ma, Elizaveta Rebrova

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

Stochastic Natural Thresholding Algorithms.

Rachel Grotheer, Shuang Li, Anna Ma, Deanna Needell, Jing Qin

Proceedings of the 57th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2023, Pacific Grove, CA, USA, October 29, 2023

2022

AVIDA: Alternating method for Visualizing and Integrating Data.

Kathryn Dover, Zixuan Cang, Anna Ma, Qing Nie, Roman Vershynin

CoRR, 2022

2021

Greed Works: An Improved Analysis of Sampling Kaczmarz-Motzkin.

Jamie Haddock, Anna Ma

SIAM J. Math. Data Sci., 2021

On the Number of Faces and Radii of Cells Induced by Gaussian Spherical Tessellations.

Eric Lybrand, Anna Ma, Rayan Saab

CoRR, 2021

Data-driven algorithm selection and tuning in optimization and signal processing.

Jesús A. De Loera, Jamie Haddock, Anna Ma, Deanna Needell

Ann. Math. Artif. Intell., 2021

2020

Randomized Kaczmarz for Tensor Linear Systems.

Anna Ma, Denali Molitor

CoRR, 2020

Stochastic Iterative Hard Thresholding for Low-Tucker-Rank Tensor Recovery.

Rachel Grotheer, Shuang Li, Anna Ma, Deanna Needell, Jing Qin

Proceedings of the Information Theory and Applications Workshop, 2020

2019

An Approximate Message Passing Framework for Side Information.

Anna Ma, You Joe Zhou, Cynthia Rush, Dror Baron, Deanna Needell

IEEE Trans. Signal Process., 2019

Greed Works: An Improved Analysis of Sampling Kaczmarz-Motkzin.

Jamie Haddock, Anna Ma

CoRR, 2019

Iterative Hard Thresholding for Low CP-rank Tensor Models.

Rachel Grotheer, Shuang Li, Anna Ma, Deanna Needell, Jing Qin

CoRR, 2019

Data-driven Algorithm Selection and Parameter Tuning: Two Case studies in Optimization and Signal Processing.

Jesús A. De Loera, Jamie Haddock, Anna Ma, Deanna Needell

CoRR, 2019

Fast Hyperspectral Diffuse Optical Imaging Method with Joint Sparsity.

Natalie Durgin, Rachel Grotheer, Chenxi Huang, Shuang Li, Anna Ma, Deanna Needell, Jing Qin

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

Jointly Sparse Signal Recovery with Prior Info.

Natalie Durgin, Rachel Grotheer, Chenxi Huang, Shuang Li, Anna Ma, Deanna Needell, Jing Qin

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

2018

Iterative Methods for Solving Factorized Linear Systems.

Anna Ma, Deanna Needell, Aaditya Ramdas

SIAM J. Matrix Anal. Appl., 2018

Unsupervised record matching with noisy and incomplete data.

Yves van Gennip, Blake Hunter, Anna Ma, Daniel Moyer, Ryan de Vera, Andrea L. Bertozzi

Int. J. Data Sci. Anal., 2018

Analysis of Fast Structured Dictionary Learning.

Saiprasad Ravishankar, Anna Ma, Deanna Needell

CoRR, 2018

Compressed Anomaly Detection with Multiple Mixed Observations.

Natalie Durgin, Rachel Grotheer, Chenxi Huang, Shuang Li, Anna Ma, Deanna Needell, Jing Qin

CoRR, 2018

Analysis of Fast Alternating Minimization for Structured Dictionary Learning.

Saiprasad Ravishankar, Anna Ma, Deanna Needell

Proceedings of the 2018 Information Theory and Applications Workshop, 2018

A Gradient Descent Approach for Incomplete Linear Systems.

Anna Ma, Deanna Needell

Proceedings of the 52nd Asilomar Conference on Signals, Systems, and Computers, 2018

2017

Sparse Randomized Kaczmarz for Support Recovery of Jointly Sparse Corrupted Multiple Measurement Vectors.

Natalie Durgin, Rachel Grotheer, Chenxi Huang, Shuang Li, Anna Ma, Deanna Needell, Jing Qin

CoRR, 2017

Stochastic Greedy Algorithms For Multiple Measurement Vectors.

Jing Qin, Shuang Li, Deanna Needell, Anna Ma, Rachel Grotheer, Chenxi Huang, Natalie Durgin

CoRR, 2017

Conditional approximate message passing with side information.

Dror Baron, Anna Ma, Deanna Needell, Cynthia Rush, Tina Woolf

Proceedings of the 51st Asilomar Conference on Signals, Systems, and Computers, 2017

2015

Convergence Properties of the Randomized Extended Gauss-Seidel and Kaczmarz Methods.

Anna Ma, Deanna Needell, Aaditya Ramdas

SIAM J. Matrix Anal. Appl., 2015

2014

Improving image clustering using sparse text and the wisdom of the crowds.

Anna Ma, Arjuna Flenner, Deanna Needell, Allon G. Percus

Proceedings of the 48th Asilomar Conference on Signals, Systems and Computers, 2014