239 citations · 355 across the 14 of their papers we have counts for
16 papers
Fast Revenue Maximization
Achraf Bahamou, Omar Besbes, Omar Mouchtaki
Problem definition: We study a data-driven pricing problem in which a seller sets a price for a single item based on demand observed at a limited number of historical prices. Our g…
Battery Operations in Electricity Markets: Strategic Behavior and Distortions
Jerry Anunrojwong, Santiago R. Balseiro, Omar Besbes +1
Battery storage can reduce electricity generation costs by shifting energy across time, but as privately owned batteries become large, they may also be able to exert market power.…
The Best of Many Robustness Criteria in Decision Making: Formulation and Application to Robust Pricing
Jerry Anunrojwong, Santiago R. Balseiro, Omar Besbes
In robust decision-making under non-Bayesian uncertainty, different robust optimization criteria, such as maximin performance, minimax regret, and maximin ratio, have been proposed…
Robust Auction Design with Support Information
Jerry Anunrojwong, Santiago R. Balseiro, Omar Besbes
A seller wants to sell an item to buyers. Buyer valuations are drawn i.i.d. from a distribution unknown to the seller; the seller only knows that the support is included in $[a…
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…
Dynamic Resource Allocation: Algorithmic Design Principles and Spectrum of Achievable Performances
Omar Besbes, Yash Kanoria, Akshit Kumar
Dynamic resource allocation problems are ubiquitous, arising in inventory management, order fulfillment, online advertising, and other applications. We initially focus on one of th…
On the Robustness of Second-Price Auctions in Prior-Independent Mechanism Design
Jerry Anunrojwong, Santiago R. Balseiro, Omar Besbes
Classical Bayesian mechanism design relies on the common prior assumption, but such prior is often not available in practice. We study the design of prior-independent mechanisms th…
How Big Should Your Data Really Be? Data-Driven Newsvendor: Learning One Sample at a Time
Omar Besbes, Omar Mouchtaki
We study the classical newsvendor problem in which the decision-maker must trade-off underage and overage costs. In contrast to the typical setting, we assume that the decision-mak…
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 Pricing with a Single Point
Amine Allouah, Achraf Bahamou, Omar Besbes
We study the following fundamental data-driven pricing problem. How can/should a decision-maker price its product based on data at a single historical price? How valuable is such d…
Mechanism Design under Approximate Incentive Compatibility
Santiago Balseiro, Omar Besbes, Francisco Castro
A fundamental assumption in classical mechanism design is that buyers are perfect optimizers. However, in practice, buyers may be limited by their computational capabilities or a l…
Static Pricing: Universal Guarantees for Reusable Resources
Omar Besbes, Adam N. Elmachtoub, Yunjie Sun
We consider a fundamental pricing model in which a fixed number of units of a reusable resource are used to serve customers. Customers arrive to the system according to a stochasti…
Microscopic origin of ferromagnetism in trihalides CrCl and CrI
Omar Besbes, Sergey Nikolaev, Igor Solovyev
Microscopic origin of the ferromagnetic (FM) exchange coupling in CrCl and CrI, their common aspects and differences, are investigated on the basis of density functional th…
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…
Non-stationary Stochastic Optimization
O. Besbes, Y. Gur, A. Zeevi
We consider a non-stationary variant of a sequential stochastic optimization problem, in which the underlying cost functions may change along the horizon. We propose a measure, ter…