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Zhiling Research
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Stop wasting time wrestling incompatible transportation datasets: Ozone slashes experiment setup by 85% and boosts cross-city transfer of safety models by 91%.
Causal priors dramatically improve the robustness of automated feature engineering, reducing performance drops by 4x under distribution shift compared to non-causal methods.
