In Preparation

1. “An Approximate Message Passing Framework for Side Information”
by D. Baron, A. Ma, D. Needell, and C. Rush.

Preprints

4.  “Sparse Randomized Kaczmarz for Support Recovery of Jointly Sparse Corrupted MMV”
by N. Durgin, R. Grotheer, C. Huang, S. Li, A. Ma, D. Needell, and J. Qin.
Submitted November 2017.
[arxiv]

3.  “Stochastic Greedy Algorithms For Multiple Measurement Vectors”
by J. Qin, S. Li, D. Needell, A. Ma, R. Grotheer, H. Chenxi, N. Durgin.
Submitted November 2017.
[arxiv]

2.  “Unsupervised Record Matching with Noisy and Incomplete Data”
by Y. van Gennip, B. Hunter, A. Ma, D. Moyer, R. de Vera, and A. Bertozzi
Submitted April 2017.
[arxiv]

1. “Adapted Stochastic Gradient Descent for Linear Systems with Missing Data”
by A. Ma and D. Needell
Submitted March 2017.
[arxiv]

Journal Publications

2. “Iterative Methods for Solving Factorized Linear Systems”
by A. Ma, D. Needell, and A. Ramdas
SIAM Journal on Matrix Analysis and Applications, to appear.
[arxiv]

1.  “Convergence Properties of the Randomized Extended Gauss-Seidel and Kaczmarz Methods”
by A. Ma, D. Needell, and A. Ramdas
SIAM Journal on Matrix Analysis and Applications, vol. 36, num. 4, 1590-1604, 2015.
[arxiv] [simax]

Conference Proceedings

2. “Conditional Approximate Message Passing with Side Information”
by D. Baron, A. Ma, D. Needell, C. Rush, and T. Woolf.
Proc. Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, CA, Nov. 2017.

1. “Improving Image Clustering using Sparse Text and the Wisdom of the Crowds”
by A. Ma, A. Flenner, D. Needell, and A. Percus
Proc. Asilomar Conference on Signals, Systems, and Computers, Pacific Grove CA, Nov. 2014.
[arxiv]