2 papers
stat.ML2016
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…