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Efficient Causal Inference from Combined Observational and Interventional Data through Causal Reductions

Maximilian Ilse ([email protected]), Patrick Forré, Max Welling, and Joris M. Mooij

Overview

PyTorch implementation of our paper "Efficient Causal Inference from Combined Observational and Interventional Data through Causal Reductions". https://arxiv.org/abs/2103.04786

Notebook

Besides the original code this repository contains a notebook for people that are new to Pytorch and normalizing flows. We recommend to open the notebook directly in Google Colab: https://colab.research.google.com/github/max-ilse/CausalReduction/blob/main/spline_flow_joint.ipynb, Google Colab allows you to run the code in your browser without configuring Python or Pytorch.

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