Implementation of the paper Scalable Intervention Target Estimation in Linear Models (NeurIPS 2021), and the code to generate simulation results.

Last update: Oct 25, 2021

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Scalable Intervention Target Estimation in Linear Models

Implementation of the paper Scalable Intervention Target Estimation in Linear Models (NeurIPS 2021), and the code to generate simulation results.

Required packages: causaldag networkx matplotlib

run example.py file to generate our algorithm vs. UTIGSP figures on Dixit dataset (Fig.2b of the paper). example.ipynb contains more explanation regarding hyperparameters and runs the example.py experiment.

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Implementation of the paper Scalable Intervention Target Estimation in Linear Models (NeurIPS 2021), and the code to generate simulation results.

Related tags

Overview

Scalable Intervention Target Estimation in Linear Models

Owner

Pansharpening by convolutional neural networks in the full resolution framework

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Official Repsoitory for "Mish: A Self Regularized Non-Monotonic Neural Activation Function" [BMVC 2020]

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This is the repository for The Machine Learning Workshops, published by AI DOJO

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