1.1k citations · 7.8k across the 180 of their papers we have counts for
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stat.ML2012★ 2 cited
High-Dimensional Covariance Decomposition into Sparse Markov and Independence Models
Majid Janzamin, Animashree Anandkumar
Fitting high-dimensional data involves a delicate tradeoff between faithful representation and the use of sparse models. Too often, sparsity assumptions on the fitted model are too…
stat.ML2012★ 29 cited
Learning loopy graphical models with latent variables: Efficient methods and guarantees
Animashree Anandkumar, Ragupathyraj Valluvan
The problem of structure estimation in graphical models with latent variables is considered. We characterize conditions for tractable graph estimation and develop efficient methods…