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LMU Munich, Center for Machine Learning
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Naive neural operator estimates of solution functional quantities can be significantly biased, but this paper provides a surprisingly simple debiasing technique to fix it.
Unstable estimates in long-term treatment effect prediction? These orthogonal learners use custom overlap weights to improve robustness in low-overlap settings common in long-term outcomes.
Turn your favorite causal machine learning estimator into a fully Bayesian one with calibrated uncertainty, without needing to specify complex likelihood models.