DeepGMM

Code for
Deep Generalized Method of Moments for Instrumental Variable Analysis
Andrew Bennett, Nathan Kallus, Tobias Schnabel
https://arxiv.org/abs/1905.12495

Instructions

Run generate_X_data.py scripts to build data, and then run_X_experiments_Y.py scripts to run experiments on the generated data and save results into "results" directory.

Cleaner version of codebase currently in progress.

Name		Name	Last commit message	Last commit date
Latest commit History 5 Commits
baselines		baselines
game_objectives		game_objectives
learning		learning
methods		methods
model_selection		model_selection
models		models
optimizers		optimizers
scenarios		scenarios
.gitignore		.gitignore
LICENSE		LICENSE
README.md		README.md
generate_mnist_data.py		generate_mnist_data.py
generate_zoo_data.py		generate_zoo_data.py
run_mnist_experiments_baselines.py		run_mnist_experiments_baselines.py
run_mnist_experiments_ours.py		run_mnist_experiments_ours.py
run_zoo_experiments_baselines.py		run_zoo_experiments_baselines.py
run_zoo_experiments_ours.py		run_zoo_experiments_ours.py
slides.pdf		slides.pdf

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CausalML/DeepGMM

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