2 papers
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…
math.ST2024
Optimal Estimation of Shared Singular Subspaces across Multiple Noisy Matrices
Zhengchi Ma, Rong Ma
Estimating singular subspaces from noisy matrices is a fundamental problem with wide-ranging applications across various fields. Driven by the challenges of data integration and mu…