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20232026
most citedOut-of-Distribution Generalization of In-Context Learning: A Low-Dimensional Subspace Perspective

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stat.ME2023

HeMPPCAT: Mixtures of Probabilistic Principal Component Analysers for Data with Heteroscedastic Noise

Alec S. Xu, Laura Balzano, Jeffrey A. Fessler

Mixtures of probabilistic principal component analysis (MPPCA) is a well-known mixture model extension of principal component analysis (PCA). Similar to PCA, MPPCA assumes the data…