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Code for "Semi-supervised learning, causality and the conditional cluster assumption" (UAI 2020)

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SSLCauseEffect.py

SSLCauseEffect.py

 
 

diabetes.csv

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diabetes_experiment.py

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heart.csv

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heart_experiment.py

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qns3vm.py

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scikitTSVM.py

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synthetic_data_experiment.py

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SSLCauseEffect

This repository contains Python code to reproduce experimental results from the UAI 2020 paper "Semi-supervised learning, causality, and the conditional cluster assumption" by J. von Kügelgen, A. Mey, M. Loog, and B. Schölkopf (https://arxiv.org/abs/1905.12081).

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Code for "Semi-supervised learning, causality and the conditional cluster assumption" (UAI 2020)

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