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stat.ML2026
ScoreStop: Gradient-based early stopping using functional score tests
Oliver J. Hines, Christian L. Hines
Gradient boosted decision trees require a stopping rule to avoid overfitting. The standard rule monitors a validation loss and stops if the loss fails to improve for a fixed patien…
stat.ML2025
Learning density ratios in causal inference using Bregman-Riesz regression
Oliver J. Hines, Caleb H. Miles
The ratio of two probability density functions is a fundamental quantity that appears in many areas of statistics and machine learning, including causal inference, reinforcement le…
stat.ML2024
Automatic debiasing of neural networks via moment-constrained learning
Christian L. Hines, Oliver J. Hines
Causal and nonparametric estimands in economics and biostatistics can often be viewed as the mean of a linear functional applied to an unknown outcome regression function. Naively…