41 citations · 83 across the 11 of their papers we have counts for
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stat.ML2020
Learning Mixtures of Low-Rank Models
Yanxi Chen, Cong Ma, H. Vincent Poor +1
We study the problem of learning mixtures of low-rank models, i.e. reconstructing multiple low-rank matrices from unlabelled linear measurements of each. This problem enriches two…
stat.ML2020
Bridging Convex and Nonconvex Optimization in Robust PCA: Noise, Outliers, and Missing Data
Yuxin Chen, Jianqing Fan, Cong Ma +1
This paper delivers improved theoretical guarantees for the convex programming approach in low-rank matrix estimation, in the presence of (1) random noise, (2) gross sparse outlier…