3 citations · 4 across the 4 of their papers we have counts for
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math.ST2021★ 3 cited
On Ensembling vs Merging: Least Squares and Random Forests under Covariate Shift
Maya Ramchandran, Rajarshi Mukherjee
It has been postulated and observed in practice that for prediction problems in which covariate data can be naturally partitioned into clusters, ensembling algorithms based on suit…
stat.ML2021★ 1 cited
Cross-Cluster Weighted Forests
Maya Ramchandran, Rajarshi Mukherjee, Giovanni Parmigiani
Building trustworthy machine learning algorithms for biological applications requires adapting to data heterogeneity from different sources, batches, distributions, or studies. We…