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researcher

M. Ramchandran

2 papers hereh-index 330 citations9 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • math.ST1
  • stat.ML1

identity via Semantic Scholar / OpenAlex

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

From the 1 of 2 linked papers with an AI index.

most citedCross-Cluster Weighted Forests

1 citations · 1 across the 2 of their papers we have counts for

collaborators

2 papers

math.ST2026

Pooling Versus Ensembling for Ridge Regression Under Covariate Shift

Maya Ramchandran, Rajarshi Mukherjee

Datasets in many settings naturally partition into clusters arising from sub-populations, batch effects, or aggregation across multiple sources. A common response to such heterogen…

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…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.