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cs.LG2023
From Contextual Data to Newsvendor Decisions: On the Actual Performance of Data-Driven Algorithms
Omar Besbes, Will Ma, Omar Mouchtaki
In this work, we study how the relevance/quality and quantity of past data influence performance by analyzing a contextual Newsvendor problem, in which a decision-maker trades off…
cs.LG2022★ 3 cited
Beyond IID: data-driven decision-making in heterogeneous environments
Omar Besbes, Will Ma, Omar Mouchtaki
How should one leverage historical data when past observations are not perfectly indicative of the future, e.g., due to the presence of unobserved confounders which one cannot "cor…