138 citations · 1.5k across the 136 of their papers we have counts for
3 papers · 1 filter
High Dimensional Structure Learning of Ising Models on Sparse Random Graphs
Animashree Anandkumar, Vincent Tan, Alan Willsky
We consider the problem of learning the structure of ferromagnetic Ising models Markov on sparse Erdos-Renyi random graph. We propose simple local algorithms and analyze their perf…
Learning Latent Tree Graphical Models
Myung Jin Choi, Vincent Y. F. Tan, Animashree Anandkumar +1
We study the problem of learning a latent tree graphical model where samples are available only from a subset of variables. We propose two consistent and computationally efficient…
Learning High-Dimensional Markov Forest Distributions: Analysis of Error Rates
Vincent Y. F. Tan, Animashree Anandkumar, Alan S. Willsky
The problem of learning forest-structured discrete graphical models from i.i.d. samples is considered. An algorithm based on pruning of the Chow-Liu tree through adaptive threshold…