989 citations · 6.1k across the 184 of their papers we have counts for
3 papers · 2 filters
Learning Topic Models and Latent Bayesian Networks Under Expansion Constraints
Animashree Anandkumar, Daniel Hsu, Adel Javanmard +1
Unsupervised estimation of latent variable models is a fundamental problem central to numerous applications of machine learning and statistics. This work presents a principled appr…
Identifiability and Unmixing of Latent Parse Trees
Daniel Hsu, Sham M. Kakade, Percy Liang
This paper explores unsupervised learning of parsing models along two directions. First, which models are identifiable from infinite data? We use a general technique for numericall…
Learning High-Dimensional Mixtures of Graphical Models
A. Anandkumar, D. Hsu, F. Huang +1
We consider unsupervised estimation of mixtures of discrete graphical models, where the class variable corresponding to the mixture components is hidden and each mixture component…