UConn_Wang

As the size of data explodes during the big data era, we develop a strategy to select more informative data points for building models to alleviate the computation burden. In contrast to previous studies on parametric models, our research explores the efficacy of optimal subsampling methods in gradient boosting trees, a semi-parametric method.

Cumulative usage · Jul 2, 2025 – Jul 2, 2026