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most citedInfinite-dimensional Mahalanobis Distance with Applications to Kernelized Novelty Detection

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stat.ML2026

Gradient Regularized Newton Boosting Trees with Global Convergence

Nikita Zozoulenko, Daniel Falkowski, Thomas Cass +1

Gradient Boosting Decision Trees (GBDTs) dominate tabular machine learning, with modern implementations like XGBoost, LightGBM, and CatBoost being based on Newton boosting: a secon…