Skip to content

ServiceNow/typed-dag

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

22 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

ServiceNow completed its acquisition of Element AI on January 8, 2021. All references to Element AI in the materials that are part of this project should refer to ServiceNow.

Typing assumptions improve identification in causal discovery

License Language: Python

This is the code for the experiments of "Typing assumptions improve identification in causal discovery " (CLeaR 2022).

The jupyter notebooks allow to replicate the experiments and the figures (a notebook for typed PC will soon be added). The code to replicate Figure 3 and 7 is in the directory theory and the code for Figure 4 and 5 is in typed_pc.

In the directory workshop_ICML, there is the code for "Typing assumptions improve identification in causal discovery" presented at The Neglected Assumptions in Causal Inference workshop at ICML 2021 and the sequel presented at the WHY-21 workshop at NeurIPS 2021.

About

Causal discovery with typed directed acyclic graphs (t-DAG). This is a ServiceNow Research project that was started at Element AI.

Topics

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published