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TILOS-HDSI Seminar: Inference-Time Algorithms: A Theoretical Lens on Tractability and Error Propagation

HDSI 123 and Virtual 3234 Matthews Ln, La Jolla, CA, United States

Andrej Risteski, Carnegie Mellon University Abstract: Modern AI systems are increasingly built by placing trained models inside larger computational loops. Inference-time algorithms are a basic instance of this idea: they use one or more trained models at test time to incorporate new information, exploit pretrained models as priors, and trade computational effort for accuracy, sample […]

TILOS-SDSU Seminar: Distributionally Robust Optimization and Applications to Air Traffic Management

Lamden Hall (LH) 247 San Diego State University, San Diego, CA, United States

Max Z. Li, University of Michigan Abstract: Ground Delay Programs (GDPs) mitigate air traffic demand-capacity imbalances by holding flights on the ground at their origin airports when the destination airport's arrival capacity is reduced, thereby limiting costly airborne holding. A central challenge is that day-to-day demand-capacity balancing depends on accurate capacity predictions. In practice, however, […]