Background for "Exploiting compositionality to explore a large space of model structures"

Created by: Roger Grosse
Intended for: machine learning researchers

This roadmap gives the background for my UAI 2012 paper, "Exploiting compositionality to explore a large space of model structures." This covers the basic machine learning concepts that the paper depends on, and should be sufficient for understanding it at a conceptual level.

Section 3: A grammar for matrix decompositions

Section 4: Posterior inference of component matrices

Section 5: Scoring candidate structures