10 citations · 28 across the 10 of their papers we have counts for
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stat.CO2014
co-BPM: a Bayesian Model for Divergence Estimation
Kun Yang, Hao Su, Wing Hung Wong
Divergence is not only an important mathematical concept in information theory, but also applied to machine learning problems such as low-dimensional embedding, manifold learning,…
stat.CO2013
Computational Aspects of Optional Pólya Tree
Hui Jiang, John C. Mu, Kun Yang +3
Optional Pólya Tree (OPT) is a flexible non-parametric Bayesian model for density estimation. Despite its merits, the computation for OPT inference is challenging. In this paper we…