| 2026 | COLT | Wedge Sampling: Efficient Tensor Completion with Nearly-Linear Sample Complexity. | Hengrui Luo, Anna Ma, Ludovic Stephan, Yizhe Zhu |
| 2025 | ACSSC | Quantile Randomized Kaczmarz with Time-Varying Noise in Signal. | Emeric Battaglia, Anna Ma |
| 2023 | ACSSC | Stochastic Natural Thresholding Algorithms. | Rachel Grotheer, Shuang Li, Anna Ma, Deanna Needell, Jing Qin |
| 2020 | ITA | Stochastic Iterative Hard Thresholding for Low-Tucker-Rank Tensor Recovery. | Rachel Grotheer, Shuang Li, Anna Ma, Deanna Needell, Jing Qin |
| 2019 | ACSSC | Jointly Sparse Signal Recovery with Prior Info. | Natalie Durgin, Rachel Grotheer, Chenxi Huang, Shuang Li, Anna Ma, Deanna Needell, Jing Qin |
| 2018 | ACSSC | A Gradient Descent Approach for Incomplete Linear Systems. | Anna Ma, Deanna Needell |
| 2018 | ITA | Analysis of Fast Alternating Minimization for Structured Dictionary Learning. | Saiprasad Ravishankar, Anna Ma, Deanna Needell |
| 2017 | ACSSC | Conditional approximate message passing with side information. | Dror Baron, Anna Ma, Deanna Needell, Cynthia Rush, Tina Woolf |
| 2014 | ACSSC | Improving image clustering using sparse text and the wisdom of the crowds. | Anna Ma, Arjuna Flenner, Deanna Needell, Allon G. Percus |