A Wasserstein DRO model for appointment scheduling with random service times and no-shows that converges to the true stochastic optimum and admits polynomial-sized LP reformulations under mild conditions.
Stochastic modeling and approaches for managing energy footprints in cloud computing service
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Data-Driven Distributionally Robust Appointment Scheduling over Wasserstein Balls
A Wasserstein DRO model for appointment scheduling with random service times and no-shows that converges to the true stochastic optimum and admits polynomial-sized LP reformulations under mild conditions.