At ICML, Amazon scientists presented a paper proposing a new way to estimate the effects of continuously varied treatment —one that uses an end-to-end machine le… See more.
Combining a cutting-edge causal-inference technique and end-to-end machine learning reduces root-mean-square error by 27% to 38%.
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