2016
Active Learning Algorithms for Graphical Model Selection
AISTATS 2016poster
The problem of learning the structure of a high dimensional graphical model from data has received considerable attention in recent years. In many applications such as sensor networks and proteomics it is often expensive to obtain samples from all the variables involved simultaneously. For instance…