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

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

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.