ScoreStop introduces a functional score test for early stopping in gradient boosting, testing the null that the current predictor minimizes population risk with a scale-invariant statistic of known asymptotic distribution.
Mark J van der Laan and James M Robins.Unified methods for censored longitudinal data and causality
4 Pith papers cite this work. Polarity classification is still indexing.
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Derives the efficient influence function and doubly robust estimators for the local average treatment effect on the treated in instrumented DiD designs with staggered exposure and covariates.
A nonparametric regression discontinuity approach for censored survival outcomes that applies doubly robust censoring corrections and integrates with standard RD estimators.
A variance-aware estimation and inference method for Michaelis-Menten models is proposed that uses conditionally Gaussian working models to handle heteroscedasticity and clustering.
citing papers explorer
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ScoreStop: Gradient-based early stopping using functional score tests
ScoreStop introduces a functional score test for early stopping in gradient boosting, testing the null that the current predictor minimizes population risk with a scale-invariant statistic of known asymptotic distribution.
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Nonparametric Regression Discontinuity Designs with Survival Outcomes
A nonparametric regression discontinuity approach for censored survival outcomes that applies doubly robust censoring corrections and integrates with standard RD estimators.