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CauseBox: A Causal Inference Toolbox for BenchmarkingTreatment Effect Estimators with Machine Learning Methods.
Paras Sheth
Ujun Jeong
Ruocheng Guo
Huan Liu
K. Selçuk Candan
Published in:
CIKM (2021)
Keyphrases
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machine learning methods
causal inference
machine learning
machine learning algorithms
additive noise
causal models
discrete data
machine learning approaches
nonmonotonic reasoning
ensemble methods
real world
abductive reasoning
rare events
learning algorithm
probability distribution