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ENTITY Geometry-Aware Bayesian Quantification via Compositional Data Analysis

Geometry-Aware Bayesian Quantification via Compositional Data Analysis

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    New Bayesian Quantification Method Leverages Geometry for Improved Label Shift Adaptation

    Researchers have developed a new geometry-aware method for Bayesian quantification, a crucial step in adapting to label shift in machine learning. This approach utilizes Aitchison geometry and log-ratio representations …