9 citations · 13 across the 5 of their papers we have counts for
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cs.LG2019★ 9 cited
Manifold Denoising by Nonlinear Robust Principal Component Analysis
He Lyu, Ningyu Sha, Shuyang Qin +3
This paper extends robust principal component analysis (RPCA) to nonlinear manifolds. Suppose that the observed data matrix is the sum of a sparse component and a component drawn f…
stat.ME2019
The EAS approach for graphical selection consistency in vector autoregression models
Jonathan P Williams, Yuying Xie, Jan Hannig
As evidenced by various recent and significant papers within the frequentist literature, along with numerous applications in macroeconomics, genomics, and neuroscience, there conti…