Causal Learning Without DAGs
This is the code and datasets used to generate results for
Causal learning
Without DAGs,
by David Duvenaud, Daniel Eaton, Mark Schmidt
and Kevin Murphy, to appear in JMLR '09.
Download
Matlab software
To reproduce the figures shown in the paper, simply type
produce_all_figures.m.
Included are versions of the following software packages:
BDAGL, (
Bayesian DAG Learner )
PMTK (
Probabilistic Modeling Toolkit )
Minfunc
( Function minimization tool )
If you have questions about this code, please contact:
David Duvenaud
