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math.OC2026
The Geometry of Linear Program Compression: An Exact Characterization and Learning Algorithm
Yuhan Ye, Omar Bennouna
We study how much a linear program (LP) can be compressed when solved repeatedly, given prior knowledge about its objective function. Existing data-driven projection methods learn…
math.OC2026
Data Informativeness in Linear Optimization under Uncertainty
Omar Bennouna, Amine Bennouna, Saurabh Amin +1
We study the problem of determining what data is required to solve a decision-making task when only partial information about the state of the world is available. Focusing on linea…