Identifiability of Chain Graph Models

Related Work

+ DAG Structure Learning
+ Additive Noise Models
+ Identifiability of DAGs
+ AMP Chain Graph Models 
- Submodularity Optimization (theory)
- Submodularity + Greedy Search (implementation)
Year Author Paper Pdf with comments summary code
2018 Mohammad Ali Javidian, Marco Valtorta Finding Minimal Separators in LWF Chain Graphs [Link] -
2019 Mohammad Ali Javidian Properties, Learning Algorithms, and Applications of Chain Graphs and Bayesian Hypergraphs [Link] -
2019 Mohammad Ali Javidian, Marco Valtorta, Pooyan Jamshidi Order-independent structure learning of multivariate regression chain graphs [Link] -
2020 Mohammad Ali Javidian, Marco Valtorta, Pooyan Jamshidi Learning LWF Chain Graphs: an Order Independent Algorithm [Link] -
2020 Mohammad Ali Javidian, Marco Valtorta, Pooyan Jamshidi Learning LWF chain graphs: A Markov blanket discovery approach [Link] -
2020 Mohammad Ali Javidian, Marco Valtorta, Pooyan Jamshidi AMP chain graphs: Minimal separators and structure learning algorithms [Link] -
2021 Mohammad Ali Javidian, Marco Valtorta, Pooyan Jamshidi An Order-Independent Algorithm for Learning Chain Graphs [Link] -
2021 Mohammad Ali Javidian, Marco Valtorta A decomposition-based algorithm for learning the structure of multivariate regression chain graphs [Link] -

Notations

DAG Structure Learning

UG Structure Learning

AMP Chain Graphs

Chain Graph Literature Survey

Bayesian Hypergraph / Chain graph structure

TODO

+ Reading material list;
+ Generate synthetic data with ground truth;
+ Introduce baseline algorithms for chain graoh structure learning;
- Likelihood Function for chain graph structure learning.

Understand Chain Graph

[Paper]

[Thesis]

[Others]

Learn Chain Graph from Data

Other related

Tools