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Amazon Researchers Designed A New Machine Learning Algorithm Based On Entropy Balancing That Learns Weights To Directly Maximize Causal Inference Accuracy Using End-To-End Optimization

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A causal effect means that a certain thing is happening based on something that has already occurred. In business, the causal effect of a treatment is very important, for example, changing the font of a page based on the amount of time spent by a user. Treatments can either be binary or can be continuous. Confounding factors: it's the third variable while examining a cause and effect relationship. Usually, there exist confounding factors that influence the treatment as well as response relationship and causal estimation accounts for them.