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20232026
most citedALPCAH: Sample-wise Heteroscedastic PCA with Tail Singular Value Regularization

1 citations · 1 across the 4 of their papers we have counts for

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stat.ML2025

ALPCAHUS: Subspace Clustering for Heteroscedastic Data

Javier Salazar Cavazos, Jeffrey A Fessler, Laura Balzano

Principal component analysis (PCA) is a key tool in the field of data dimensionality reduction. Various methods have been proposed to extend PCA to the union of subspace (UoS) sett…

stat.ML2023★ 1 cited

ALPCAH: Sample-wise Heteroscedastic PCA with Tail Singular Value Regularization

Javier Salazar Cavazos, Jeffrey A. Fessler, Laura Balzano

Principal component analysis (PCA) is a key tool in the field of data dimensionality reduction that is useful for various data science problems. However, many applications involve…