2 papers
cs.LG2026
A New Family of Poisson Non-negative Matrix Factorization Methods Using the Shifted Log Link
Eric Weine, Peter Carbonetto, Rafael A. Irizarry +1
Poisson non-negative matrix factorization (NMF) is a widely used method to find interpretable "parts-based" decompositions of count data. While many variants of Poisson NMF exist,…
stat.ML2025
Stacked SVD or SVD stacked? A Random Matrix Theory perspective on data integration
Tavor Z. Baharav, Phillip B. Nicol, Rafael A. Irizarry +1
Modern data analysis increasingly requires identifying shared latent structure across multiple high-dimensional datasets. A commonly used model assumes that the data matrices are n…