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Learning Generalized Gumbel-Max Causal Mechanisms

Overview

This repository contains the code for the second part of the NeurIPS 2021 paper "Learning Generalized Gumbel Max-Causal Mechanisms"(The code for the first part can be found here).

• The second part of experiment 2 is in 'experiment_2b.ipynb' (section 7.2, the two right columns of Table 1).
• To run the third experiment (section 7.3, sepsis MDP) 'run_mdp_experiment.py' using the commands in runs.sh (By default, it extracts and uses MDP parameters that are already learned. Alternatively, you can run learn_mdp_parameters.ipynb, which will save the learned parameters in the data folder. This takes ~2 hours.)

Requirements

To install requirements:

pip install -r requirements.txt

Acknowledgements

The code for the MDP environment on experiment 3 is based on Michael Oberst and David Sontag code for their paper: "Counterfactual Off-Policy Evaluation with Gumbel-Max Structural Causal Models". Thanks!

In addition, we would like to thank Christina X Ji and Fredrik D. Johansson for their work on an earlier version of the sepsis simulator we use in this paper.