Improving image clustering using sparse text and the wisdom of the crowds. - Anna Ma; Arjuna Flenner; Deanna Needell; Allon G. Percus (ACSSC, 2014)

Convergence Properties of the Randomized Extended Gauss-Seidel and Kaczmarz Methods. - Anna Ma; Deanna Needell; Aaditya Ramdas (SIAM J. Matrix Anal. Appl., 2015)

Conditional approximate message passing with side information. - Dror Baron; Anna Ma; Deanna Needell; Cynthia Rush; Tina Woolf (ACSSC, 2017)

Stochastic Greedy Algorithms For Multiple Measurement Vectors. - Jing Qin 003; Shuang Li 003; Deanna Needell; Anna Ma; Rachel Grotheer; Chenxi Huang 006; Natalie Durgin (CoRR, 2017)

Sparse Randomized Kaczmarz for Support Recovery of Jointly Sparse Corrupted Multiple Measurement Vectors. - Natalie Durgin; Rachel Grotheer; Chenxi Huang 006; Shuang Li 003; Anna Ma; Deanna Needell; Jing Qin 003 (CoRR, 2017)

A Gradient Descent Approach for Incomplete Linear Systems. - Anna Ma; Deanna Needell (ACSSC, 2018)

Analysis of Fast Alternating Minimization for Structured Dictionary Learning. - Saiprasad Ravishankar; Anna Ma; Deanna Needell (ITA, 2018)

Compressed Anomaly Detection with Multiple Mixed Observations. - Natalie Durgin; Rachel Grotheer; Chenxi Huang 006; Shuang Li 003; Anna Ma; Deanna Needell; Jing Qin 003 (CoRR, 2018)

Analysis of Fast Structured Dictionary Learning. - Saiprasad Ravishankar; Anna Ma; Deanna Needell (CoRR, 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)

Iterative Methods for Solving Factorized Linear Systems. - Anna Ma; Deanna Needell; Aaditya Ramdas (SIAM J. Matrix Anal. Appl., 2018)

Jointly Sparse Signal Recovery with Prior Info. - Natalie Durgin; Rachel Grotheer; Chenxi Huang 006; Shuang Li 003; Anna Ma; Deanna Needell; Jing Qin 003 (ACSSC, 2019)

Fast Hyperspectral Diffuse Optical Imaging Method with Joint Sparsity. - Natalie Durgin; Rachel Grotheer; Chenxi Huang 006; Shuang Li 003; Anna Ma; Deanna Needell; Jing Qin 003 (EMBC, 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)

Iterative Hard Thresholding for Low CP-rank Tensor Models. - Rachel Grotheer; Shuang Li 003; Anna Ma; Deanna Needell; Jing Qin 003 (CoRR, 2019)

Greed Works: An Improved Analysis of Sampling Kaczmarz-Motkzin. - Jamie Haddock; Anna Ma (CoRR, 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)

Stochastic Iterative Hard Thresholding for Low-Tucker-Rank Tensor Recovery. - Rachel Grotheer; Shuang Li 003; Anna Ma; Deanna Needell; Jing Qin 003 (ITA, 2020)

Randomized Kaczmarz for Tensor Linear Systems. - Anna Ma; Denali Molitor (CoRR, 2020)

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)

On the Number of Faces and Radii of Cells Induced by Gaussian Spherical Tessellations. - Eric Lybrand; Anna Ma; Rayan Saab (CoRR, 2021)

Greed Works: An Improved Analysis of Sampling Kaczmarz-Motzkin. - Jamie Haddock; Anna Ma (SIAM J. Math. Data Sci., 2021)

AVIDA: Alternating method for Visualizing and Integrating Data. - Kathryn Dover; Zixuan Cang; Anna Ma; Qing Nie; Roman Vershynin (CoRR, 2022)

Stochastic Natural Thresholding Algorithms. - Rachel Grotheer; Shuang Li 003; Anna Ma; Deanna Needell; Jing Qin 003 (ACSSC, 2023)

On Subsampled Quantile Randomized Kaczmarz. - Jamie Haddock; Anna Ma; Elizaveta Rebrova (Allerton, 2023)

Block-missing data in linear systems: An unbiased stochastic gradient descent approach. - Chelsea Huynh; Anna Ma; Michael Strand (Allerton, 2023)

You Sound Depressed: A Case Study on Sonde Health's Diagnostic Use of Voice Analysis AI. - Anna Ma; Elizabeth Patitsas; Jonathan Sterne (FAccT, 2023)

Efficient and Robust Bayesian Selection of Hyperparameters in Dimension Reduction for Visualization. - Yin-Ting Liao; Hengrui Luo; Anna Ma (CoRR, 2023)

AVIDA: An alternating method for visualizing and integrating data. - Kathryn Dover; Zixuan Cang; Anna Ma; Qing Nie; Roman Vershynin (J. Comput. Sci., 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., 2023)

Frontal Slice Approaches for Tensor Linear Systems. - Hengrui Luo; Anna Ma (CoRR, 2024)

A Note on the Randomized Kaczmarz Algorithm for Solving Doubly Noisy Linear Systems. - El Houcine Bergou; Soumia Boucherouite; Aritra Dutta; Xin Li 022; Anna Ma (SIAM J. Matrix Anal. Appl., 2024)

Reverse Quantile-RK and Its Application to Quantile-RK. - Emeric Battaglia; Anna Ma (Numer. Linear Algebra Appl., 2025)

Quantile-RK and Double Quantile-RK Error Horizon Analysis. - Emeric Battaglia; Anna Ma (CoRR, 2025)

On Subsample Size of Quantile-Based Randomized Kaczmarz. - Jian-Feng Cai 001; Junren Chen; Anna Ma; Tong Wu (CoRR, 2025)