Meta-EM

Introduction

This repository contains the implementation code for paper:

Learning Instrumental Variable from Data Fusion for Treatment Effect Estimation

Anpeng Wu, Kun Kuang, Ruoxuan Xiong, Minqing Zhu, Yuxuan Liu, Bo Li, Furui Liu, Zhihua Wang, Fei Wu

Env:

conda create -n tf-torch python=3.6
source activate tf-torch
pip install torch==1.6.0+cu101 torchvision==0.7.0+cu101 -f https://download.pytorch.org/whl/torch_stable.html
conda install tensorflow-estimator==1.15.1 tensorflow-gpu==1.15.0
pip install future cvxopt keras pandas scikit-learn matplotlib

The code for Meta-EM:

1. run_generator.py
2. run_MetaEM.py
3. run_IVMethods.py

or

• main.ipynb