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Sep 2026

Feature-Rich, Data-Private: A Sparse Learning Framework for the High-Dimensional Newsvendor

Modern firms increasingly rely on high-dimensional data to improve inventory decisions, but extracting useful signals from large numbers of features while protecting sensitive data remains challenging. In their paper, “Feature-Rich, Data-Private: A Sparse Learning Framework for the High-Dimensional Newsvendor,” Chang e...

Jin-Yuan Chang, Lin Yang, Yi-Chen Zhang et al. · 1 citation

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