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README.md

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[![Tests](https://github.com/vanderschaarlab/DECAF/actions/workflows/test_decaf.yml/badge.svg)](https://github.com/vanderschaarlab/DECAF/actions/workflows/test_decaf.yml)
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[![License](https://img.shields.io/badge/License-BSD%203--Clause-blue.svg)](https://github.com/vanderschaarlab/DECAF/blob/main/LICENSE)
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Code Author: Trent Kyono
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Code Author: Trent Kyono and Boris van Breugel
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This repository contains the code used for the "DECAF: Generating Fair Synthetic Data Using Causally-Aware Generative Networks" paper(2021).
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```
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@inproceedings{kyono2021decaf,
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title = {DECAF: Generating Fair Synthetic Data Using Causally-Aware Generative Networks},
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author = {Kyono, Trent and van Breugel, Boris and Berrevoets, Jeroen and van der Schaar, Mihaela},
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author = {van Breugel, Boris and Kyono, Trent and Berrevoets, Jeroen and van der Schaar, Mihaela},
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year = 2021,
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booktitle = {Conference on Neural Information Processing Systems(NeurIPS) 2021}
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}

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