Anna Ma - RankMe

50 papers Misc 7Journal 38Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Wedge Sampling: Efficient Tensor Completion with Nearly-Linear Sample Complexity. CoRR Hengrui Luo, Anna Ma, Ludovic Stephan, Yizhe Zhu
2025	J	`jnl`	On Subsample Size of Quantile-Based Randomized Kaczmarz. CoRR Jian-Feng Cai, Junren Chen, Anna Ma, Tong Wu
2025	—	`conf`	Quantile Randomized Kaczmarz with Time-Varying Noise in Signal. IEEECONF Emeric Battaglia, Anna Ma
2025	J	`jnl`	Quantile-RK and Double Quantile-RK Error Horizon Analysis. CoRR Emeric Battaglia, Anna Ma
2025	J	`jnl`	Reverse Quantile-RK and Its Application to Quantile-RK. Numer. Linear Algebra Appl. Emeric Battaglia, Anna Ma
2025	J	`jnl`	Stochastic Gradient Descent for Incomplete Tensor Linear Systems. CoRR Anna Ma, Deanna Needell, Alexander Xue
2025	J	`jnl`	Where Have All the Kaczmarz Iterates Gone? CoRR El Houcine Bergou, Soumia Boucherouite, Aritra Dutta, Xin Li, Anna Ma
2024	J	`jnl`	A Note on the Randomized Kaczmarz Algorithm for Solving Doubly Noisy Linear Systems. SIAM J. Matrix Anal. Appl. El Houcine Bergou, Soumia Boucherouite, Aritra Dutta, Xin Li, Anna Ma
2024	J	`jnl`	Frontal Slice Approaches for Tensor Linear Systems. CoRR Hengrui Luo, Anna Ma
2024	J	`jnl`	Reverse Quantile-RK and its Application to Quantile-RK. CoRR Emeric Battaglia, Anna Ma
2023	J	`jnl`	A Note on Randomized Kaczmarz Algorithm for Solving Doubly-Noisy Linear Systems. CoRR El Houcine Bergou, Soumia Boucherouite, Aritra Dutta, Xin Li, Anna Ma
2023	J	`jnl`	AVIDA: An alternating method for visualizing and integrating data. J. Comput. Sci. Kathryn Dover, Zixuan Cang, Anna Ma, Qing Nie, Roman Vershynin
2023	—	`conf`	Block-missing data in linear systems: An unbiased stochastic gradient descent approach. Allerton Chelsea Huynh, Anna Ma, Michael Strand
2023	J	`jnl`	Block-missing data in linear systems: An unbiased stochastic gradient descent approach. CoRR Chelsea Huynh, Anna Ma, Michael Strand
2023	J	`jnl`	Efficient and Robust Bayesian Selection of Hyperparameters in Dimension Reduction for Visualization. CoRR Yin-Ting Liao, Hengrui Luo, Anna Ma
2023	—	`conf`	On Subsampled Quantile Randomized Kaczmarz. Allerton Jamie Haddock, Anna Ma, Elizaveta Rebrova
2023	J	`jnl`	On Subsampled Quantile Randomized Kaczmarz. CoRR Jamie Haddock, Anna Ma, Elizaveta Rebrova
2023	J	`jnl`	Robust Recovery of Low-Rank Matrices and Low-Tubal-Rank Tensors from Noisy Sketches. SIAM J. Matrix Anal. Appl. Anna Ma, Dominik Stöger, Yizhe Zhu
2023	Misc	`conf`	Stochastic Natural Thresholding Algorithms. ACSSC Rachel Grotheer, Shuang Li, Anna Ma, Deanna Needell, Jing Qin
2023	J	`jnl`	Stochastic Natural Thresholding Algorithms. CoRR Rachel Grotheer, Shuang Li, Anna Ma, Deanna Needell, Jing Qin
2023	—	`conf`	You Sound Depressed: A Case Study on Sonde Health's Diagnostic Use of Voice Analysis AI. FAccT Anna Ma, Elizabeth Patitsas, Jonathan Sterne
2022	J	`jnl`	AVIDA: Alternating method for Visualizing and Integrating Data. CoRR Kathryn Dover, Zixuan Cang, Anna Ma, Qing Nie, Roman Vershynin
2022	J	`jnl`	Robust recovery of low-rank matrices and low-tubal-rank tensors from noisy sketches. CoRR Anna Ma, Dominik Stöger, Yizhe Zhu
2021	J	`jnl`	Data-driven algorithm selection and tuning in optimization and signal processing. Ann. Math. Artif. Intell. Jesús A. De Loera, Jamie Haddock, Anna Ma, Deanna Needell
2021	J	`jnl`	Greed Works: An Improved Analysis of Sampling Kaczmarz-Motzkin. SIAM J. Math. Data Sci. Jamie Haddock, Anna Ma
2021	J	`jnl`	On the Number of Faces and Radii of Cells Induced by Gaussian Spherical Tessellations. CoRR Eric Lybrand, Anna Ma, Rayan Saab
2020	J	`jnl`	Randomized Kaczmarz for Tensor Linear Systems. CoRR Anna Ma, Denali Molitor
2020	Misc	`conf`	Stochastic Iterative Hard Thresholding for Low-Tucker-Rank Tensor Recovery. ITA Rachel Grotheer, Shuang Li, Anna Ma, Deanna Needell, Jing Qin
2019	J	`jnl`	An Approximate Message Passing Framework for Side Information. IEEE Trans. Signal Process. Anna Ma, You Joe Zhou, Cynthia Rush, Dror Baron, Deanna Needell
2019	J	`jnl`	Data-driven Algorithm Selection and Parameter Tuning: Two Case studies in Optimization and Signal Processing. CoRR Jesús A. De Loera, Jamie Haddock, Anna Ma, Deanna Needell
2019	—	`conf`	Fast Hyperspectral Diffuse Optical Imaging Method with Joint Sparsity. EMBC Natalie Durgin, Rachel Grotheer, Chenxi Huang, Shuang Li, Anna Ma, Deanna Needell, Jing Qin
2019	J	`jnl`	Greed Works: An Improved Analysis of Sampling Kaczmarz-Motkzin. CoRR Jamie Haddock, Anna Ma
2019	J	`jnl`	Iterative Hard Thresholding for Low CP-rank Tensor Models. CoRR Rachel Grotheer, Shuang Li, Anna Ma, Deanna Needell, Jing Qin
2019	Misc	`conf`	Jointly Sparse Signal Recovery with Prior Info. ACSSC Natalie Durgin, Rachel Grotheer, Chenxi Huang, Shuang Li, Anna Ma, Deanna Needell, Jing Qin
2019	J	`jnl`	Stochastic Iterative Hard Thresholding for Low-Tucker-Rank Tensor Recovery. CoRR Rachel Grotheer, Shuang Li, Anna Ma, Deanna Needell, Jing Qin
2018	Misc	`conf`	A Gradient Descent Approach for Incomplete Linear Systems. ACSSC Anna Ma, Deanna Needell
2018	J	`jnl`	An Approximate Message Passing Framework for Side Information. CoRR Anna Ma, You Joe Zhou, Cynthia Rush, Dror Baron, Deanna Needell
2018	Misc	`conf`	Analysis of Fast Alternating Minimization for Structured Dictionary Learning. ITA Saiprasad Ravishankar, Anna Ma, Deanna Needell
2018	J	`jnl`	Analysis of Fast Alternating Minimization for Structured Dictionary Learning. CoRR Saiprasad Ravishankar, Anna Ma, Deanna Needell
2018	J	`jnl`	Analysis of Fast Structured Dictionary Learning. CoRR Saiprasad Ravishankar, Anna Ma, Deanna Needell
2018	J	`jnl`	Compressed Anomaly Detection with Multiple Mixed Observations. CoRR Natalie Durgin, Rachel Grotheer, Chenxi Huang, Shuang Li, Anna Ma, Deanna Needell, Jing Qin
2018	J	`jnl`	Iterative Methods for Solving Factorized Linear Systems. SIAM J. Matrix Anal. Appl. Anna Ma, Deanna Needell, Aaditya Ramdas
2018	J	`jnl`	Unsupervised record matching with noisy and incomplete data. Int. J. Data Sci. Anal. Yves van Gennip, Blake Hunter, Anna Ma, Daniel Moyer, Ryan de Vera, Andrea L. Bertozzi
2017	Misc	`conf`	Conditional approximate message passing with side information. ACSSC Dror Baron, Anna Ma, Deanna Needell, Cynthia Rush, Tina Woolf
2017	J	`jnl`	Sparse Randomized Kaczmarz for Support Recovery of Jointly Sparse Corrupted Multiple Measurement Vectors. CoRR Natalie Durgin, Rachel Grotheer, Chenxi Huang, Shuang Li, Anna Ma, Deanna Needell, Jing Qin
2017	J	`jnl`	Stochastic Greedy Algorithms For Multiple Measurement Vectors. CoRR Jing Qin, Shuang Li, Deanna Needell, Anna Ma, Rachel Grotheer, Chenxi Huang, Natalie Durgin
2017	J	`jnl`	Unsupervised record matching with noisy and incomplete data. CoRR Yves van Gennip, Blake Hunter, Anna Ma, Daniel Moyer, Ryan de Vera, Andrea L. Bertozzi
2015	J	`jnl`	Convergence Properties of the Randomized Extended Gauss-Seidel and Kaczmarz Methods. SIAM J. Matrix Anal. Appl. Anna Ma, Deanna Needell, Aaditya Ramdas
2014	J	`jnl`	Improving Image Clustering using Sparse Text and the Wisdom of the Crowds. CoRR Anna Ma, Arjuna Flenner, Deanna Needell, Allon G. Percus
2014	Misc	`conf`	Improving image clustering using sparse text and the wisdom of the crowds. ACSSC Anna Ma, Arjuna Flenner, Deanna Needell, Allon G. Percus