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When Prediction Error Is Not Enough: Evaluating Nuisance-Function Prediction for Causal Estimation
A new arXiv preprint challenges the common practice of using nuisance-function prediction error as a proxy for causal estimator quality, showing via simulation that low prediction error does not reliably indicate low bias or good confidence interval coverage in causal inference.
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arXiv Artificial Intelligence
Sep 2, 2026
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Robust XGBoosting for Regression
Researchers propose MM-XGBoost, a modified XGBoost variant using robust M-, S-, and τ-estimator loss functions to improve resilience against vertical outliers and leverage points in regression tasks.
Spin 25% Claim Present in Source AI Risk Moderate
arXiv Machine Learning
Aug 17, 2026