DAGs with No Fears

This is the code base for the paper:

"DAGs with No Fears: A Closer Look at Continuous Optimization for Learning Bayesian Networks." NeurIPS 2020

Basic Usages

python main_efficient.py

options:

--methods=all_l2

to call the baseline method, default value "all_l2" = NOTEAR, with L2 norm

--search=3

to call the proposed search method, default "3"", set to 0 to turn it off.

TODO

Name		Name	Last commit message	Last commit date
Latest commit History 7 Commits
.idea		.idea
figures		figures
image		image
scripts		scripts
.DS_Store		.DS_Store
.gitignore		.gitignore
BNlearnMMHC.py		BNlearnMMHC.py
BPR.py		BPR.py
LICENSE		LICENSE
README.md		README.md
bnlearnMMHC.R		bnlearnMMHC.R
create_plots.py		create_plots.py
create_tables.py		create_tables.py
eval_h.py		eval_h.py
fges_continuous_yyu.py		fges_continuous_yyu.py
lars_path_weighted.py		lars_path_weighted.py
local_search_given_matrix.py		local_search_given_matrix.py
main_efficient.py		main_efficient.py
utils.py		utils.py