works on
biomedical applications 1clustering 1ensemble methods 1heterogeneous data 1random forest 1

From the 1 of 5 linked papers with an AI index.

most citedNuisance Function Tuning and Sample Splitting for Optimally Estimating a Doubly Robust Functional

2 citations · 3 across the 3 of their papers we have counts for

collaborators
Showing stat.MLShow all

1 paper · 1 filter

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…