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...