Are you into ML
Do you do causal inference
Do you perhaps have infrastructure allowing you to run huge experiments
You *are* using @Susan_Athey's causal forest method for estimating heterogeneous treatment effects aren't you?https://arxiv.org/abs/1510.04342
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This looks considerably more powerful than a nearest-neighbor approach, even using a Mahalanobis norm. Given the ensemble bagging, it probably wouldn't overfit much, either-- plus that can be constrained further by restricting tree complexity.
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It's so so so good

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you wouldnt like that much at all we tried that
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