3 papers
stat.ME2026
Graph-Split Bayesian Causal Forest for Spatial Heterogeneous Treatment Effect Estimation
Shuren He, Huiyan Sang, Ligang Lu
In spatial observational studies, treatment assignment and outcomes often exhibit spatial dependence patterns, and treatment effects may vary across space and subpopulations due to…
stat.ME2025
GS-BART: Bayesian Additive Regression Trees with Graph-split Decision Rules
Shuren He, Huiyan Sang, Quan Zhou
Ensemble decision tree methods such as XGBoost, Random Forest, and Bayesian Additive Regression Trees (BART) have gained enormous popularity in data science for their superior perf…
cs.LG2023
Balance is Essence: Accelerating Sparse Training via Adaptive Gradient Correction
Bowen Lei, Dongkuan Xu, Ruqi Zhang +2
Despite impressive performance, deep neural networks require significant memory and computation costs, prohibiting their application in resource-constrained scenarios. Sparse train…