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Prescriptive PCA: Dimensionality Reduction for Two-stage Stochastic Optimization
In this paper, we consider the alignment between an upstream dimensionality reduction task of learning a low-dimensional representation of a set of high-dimensional data and a downstream optimization task of solving a stochastic program parameterized by said representation.
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