Skip to content

Implementation of Johansson, Fredrik D., Shalit, Uri, and Sontag, David. Learning representations for counterfactual inference - ICML, 2016.

Notifications You must be signed in to change notification settings

ankits0207/Learning-representations-for-counterfactual-inference-MyImplementation

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

18 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

This repo contains the neural network based counterfactual regression implementation for Ad attribution. Simulated data has been used as the input to PrepareData.py which would be followed by the execution of Run.py.
Note: Create a results directory before executing Run.py.

About

Implementation of Johansson, Fredrik D., Shalit, Uri, and Sontag, David. Learning representations for counterfactual inference - ICML, 2016.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages