From the 1 of 2 linked papers with an AI index.
1 citations · 1 across the 1 of their papers we have counts for
2 papers
stat.ML2026★ 1 cited
Cross-Cluster Weighted Forests
Maya Ramchandran, Rajarshi Mukherjee, Giovanni Parmigiani
The paper introduces Cross-Cluster Weighted Forests, an ensemble method that clusters training data, fits a random forest within each cluster, and combines them using stacked regre…
stat.ML2024
Merging versus Ensembling in Multi-Study Prediction: Theoretical Insight from Random Effects
Zoe Guan, Giovanni Parmigiani, Prasad Patil
A critical decision point when training predictors using multiple studies is whether studies should be combined or treated separately. We compare two multi-study prediction approac…