Active Learning for
Structure in Bayesian Networks
Motivation
Bayesian Networks*
Bayesian Networks
Bayesian Networks
Bayesian Networks
Bayesian Networks
Formal Problem Statement
How Can Interventions
Help?
Active Learning
Active Learning: Our
method
Structure Estimation
Updating the Model
Model Quality I
Model Quality II
Expected posterior loss
Fixed Ordering
Fixed Ordering
Expected Posterior Loss
Inference in Graphical
Model
Expected Posterior Loss
Unrestricted Orderings
The Algorithm
Experiments
Cancer Network: Root
Control
Cancer Network:
Interventions
Car Network:
Interventions
Original Cancer Network
Random Samples
Uniform Intervention
Active Learning
Conclusions