242 citations · 1.7k across the 67 of their papers we have counts for
3 papers · 1 filter
Active Learning of Multiple Source Multiple Destination Topologies
Pegah Sattari, Maciej Kurant, Animashree Anandkumar +2
We consider the problem of inferring the topology of a network with sources and receivers (hereafter referred to as an -by- network), by sending probes between the so…
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…
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…