2019
Guaranteed Scalable Learning of Latent Tree Models
UAI 2019poster
We present an integrated approach to structure and parameter estimation in latent tree graphical models, where some nodes are hidden. Our overall approach follows a “divide-and-conquer” strategy that learns models over small groups of variables and iteratively merges into a global solution. The s…