183 citations · 469 across the 31 of their papers we have counts for
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stat.ML2016★ 1 cited
Indirect Gaussian Graph Learning beyond Gaussianity
Yiyuan She, Shao Tang, Qiaoya Zhang
This paper studies how to capture dependency graph structures from real data which may not be Gaussian. Starting from marginal loss functions not necessarily derived from probabili…
stat.CO2016
Iterative proportional scaling revisited: a modern optimization perspective
Yiyuan She, Shao Tang
This paper revisits the classic iterative proportional scaling (IPS) from a modern optimization perspective. In contrast to the criticisms made in the literature, we show that base…
stat.CO2016
Sparse Generalized Principal Component Analysis for Large-scale Applications beyond Gaussianity
Qiaoya Zhang, Yiyuan She
Principal Component Analysis (PCA) is a dimension reduction technique. It produces inconsistent estimators when the dimensionality is moderate to high, which is often the problem i…