205 citations · 822 across the 39 of their papers we have counts for
4 papers · 1 filter
Bayesian Model Selection with Graph Structured Sparsity
Youngseok Kim, Chao Gao
We propose a general algorithmic framework for Bayesian model selection. A spike-and-slab Laplacian prior is introduced to model the underlying structural assumption. Using the not…
Testing for Global Network Structure Using Small Subgraph Statistics
Chao Gao, John Lafferty
We study the problem of testing for community structure in networks using relations between the observed frequencies of small subgraphs. We propose a simple test for the existence…
Testing Network Structure Using Relations Between Small Subgraph Probabilities
Chao Gao, John Lafferty
We study the problem of testing for structure in networks using relations between the observed frequencies of small subgraphs. We consider the statistics \begin{align*} T_3 & =(\te…
Sparse CCA: Adaptive Estimation and Computational Barriers
Chao Gao, Zongming Ma, Harrison H. Zhou
Canonical correlation analysis is a classical technique for exploring the relationship between two sets of variables. It has important applications in analyzing high dimensional da…