Omar Bennouna — accepted AI-conference papers

2025

Contextual Optimization Under Model Misspecification: A Tractable and Generalizable Approach

Omar Bennouna, Jiawei Zhang, Saurabh Amin, Asuman E. Ozdaglar

ICML 2025poster

Contextual optimization problems are prevalent in decision-making applications where historical data and contextual features are used to learn predictive models that inform optimal actions. However, practical applications often suffer from model misspecification due to incomplete knowledge of the un…

Cited by 0 Source ↗PDF ↗Scholar ↗

2025

What Data Enables Optimal Decisions? An Exact Characterization for Linear Optimization

Omar Bennouna, Amine Bennouna, Saurabh Amin, Asuman E. Ozdaglar

NeurIPS 2025poster

We study the fundamental question of how informative a dataset is for solving a given decision-making task. In our setting, the dataset provides partial information about unknown parameters that influence task outcomes. Focusing on linear programs, we characterize when a dataset is sufficient to rec…

Cited by 0 Source ↗Scholar ↗