Awesome-Causal-Discovery

Causal Discovery Surveys

Title	Supplement	Code	Conference/Journal	Year
D’ya like DAGs? A Survey on Structure Learning and Causal Discovery	——	——	Arxiv	2021

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Causal Discovery Methods

Constraint-based

Score-based

Title	Supplement	Code	Conference/Journal	Year
GES	——	Github (from CMU-phil/causal-learn)	JMLR	2002
CCDr	——	——	JMLR	2015
FGES	——	Github (from CMU-phil/tetrad)	International Journal of Data Science and Analytics	2017

Combinatorial Optimization

Title	Supplement	Code	Conference/Journal	Year

Continuous Optimization

Title	Supplement	Code	Conference/Journal	Year
NOTEARS	Supplement	Github	NeurIPS	2018
DAG-GNN	Supplement	Github	ICML	2019
GOLEM	Supplement	Github	NeurIPS	2020
NOTEARS-KKTS	Supplement	GitHub	NeurIPS	2020
Gran-DAG	——	Github	ICLR	2020
RL-BIC	——	Github	ICLR	2020
NOTEARS-MLP	Supplement	Github	AISTATS	2020
NoCurl	Supplement	GitHub	ICML	2021
DARING	——	Not Found	KDD	2021
MAS	——	Not Found	AAAI	2022

Exact Search

Title	Supplement	Code	Conference/Journal	Year
Local A*	Supplement	Github	NeurIPS	2021

Hybrid/ Super-structure based

Title	Supplement	Code	Conference/Journal	Year
MMHC	——	bnlearn	Machine Learning	2006
COS	——	Not Found	JMLR	2008
CAM	Supplement	CRAN	Annals of Statistics	2014
High-Dimensional Learning of Linear Causal Networks via Inverse Covariance Estimation	——	——	JMLR	2014
Finding Optimal Bayesian Network Structures with Constraints Learned from Data	——	——	UAI	2014
ARGES	Supplement	Not Found	Annals of Statistics	2018
DARING	——	Not Found	KDD	2021
Local A*	Supplement	Github	NeurIPS	2021

Function Causal Model

Title	Supplement	Code	Conference/Journal	Year
LiNGAM	——	Github (from CMU-phil/causal-learn)	JMLR	2006
ANM	——	Github (from CMU-phil/causal-learn)	NeurIPS	2008
PNL	——	Github (from CMU-phil/causal-learn)	UAI	2009
IFMOC	——	(from MPI causality group.)	UAI	2011
GDS_{EEV}	——	Not Found	Biometrika	2014

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Causal Discovery Theoretical Analysis

Score-based

Continuous Optimization

Title	Supplement	Code	Conference/Journal	Year
Globally Optimal Score-based Learning of Directed Acyclic Graphs in High-dimensions	——	——	NeurIPS	2019
NOTEARS-KKTS	Supplement	GitHub	NeurIPS	2020
On the Convergence of Continuous Constrained Optimization for Structure Learning	——	Github	AISTATS	2022

Hybrid/ Super-structure based

Title	Supplement	Code	Conference/Journal	Year
ARGES	Supplement	Not Found	Annals of Statistics	2018
The Complexity of Bayesian Network Learning: Revisiting the Super-structure	Supplement	——	NeurIPS	2021

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Causal Discovery in more generalized settings

Title	Supplement	Code	Conference/Journal	Year
NOTEARS-ADMM	——	Github	AISTATS	2022