239 citations · 355 across the 14 of their papers we have counts for
4 papers · 1 filter
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…
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…
Contextual Inverse Optimization: Offline and Online Learning
Omar Besbes, Yuri Fonseca, Ilan Lobel
We study the problems of offline and online contextual optimization with feedback information, where instead of observing the loss, we observe, after-the-fact, the optimal action a…
Optimal Exploration-Exploitation in a Multi-Armed-Bandit Problem with Non-stationary Rewards
Omar Besbes, Yonatan Gur, Assaf Zeevi
In a multi-armed bandit (MAB) problem a gambler needs to choose at each round of play one of K arms, each characterized by an unknown reward distribution. Reward realizations are o…