610 citations · 2k across the 74 of their papers we have counts for
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stat.ML2018★ 34 cited
Tensor Robust Principal Component Analysis with A New Tensor Nuclear Norm
Canyi Lu, Jiashi Feng, Yudong Chen +3
In this paper, we consider the Tensor Robust Principal Component Analysis (TRPCA) problem, which aims to exactly recover the low-rank and sparse components from their sum. Our mode…
stat.ML2018
Hidden Integrality and Semi-random Robustness of SDP Relaxation for Sub-Gaussian Mixture Model
Yingjie Fei, Yudong Chen
We consider the problem of estimating the discrete clustering structures under the Sub-Gaussian Mixture Model. Our main results establish a hidden integrality property of a semidef…
stat.ML2018★ 26 cited
Harnessing Structures in Big Data via Guaranteed Low-Rank Matrix Estimation
Yudong Chen, Yuejie Chi
Low-rank modeling plays a pivotal role in signal processing and machine learning, with applications ranging from collaborative filtering, video surveillance, medical imaging, to di…