3 papers
cs.DS2026
A Consistency-Robustness Framework for Robust Optimization: Integrating Predictions into Robust Scheduling
Yasser Alghouass, Eric Balkanski, Nicole Megow +1
Robust optimization protects against uncertainty by optimizing for the worst case over a prescribed uncertainty set. This protection can be overly conservative when forecasts, hist…
math.OC2025
Matching Drivers to Riders: A Two-stage Robust Approach
Omar El Housni, Vineet Goyal, Oussama Hanguir +1
Matching demand (riders) to supply (drivers) efficiently is a fundamental problem for ride-sharing platforms who need to match the riders (almost) as soon as the request arrives wi…
cs.LG2024
Interpretable Machine Learning for Resource Allocation with Application to Ventilator Triage
Julien Grand-Clément, You Hui Goh, Carri Chan +2
Rationing of healthcare resources is a challenging decision that policy makers and providers may be forced to make during a pandemic, natural disaster, or mass casualty event. Well…