5 citations · 5 across the 2 of their papers we have counts for
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High-Confidence Data-Driven Ambiguity Sets for Time-Varying Linear Systems
Dimitris Boskos, Jorge Cortés, Sonia Martínez
This paper builds Wasserstein ambiguity sets for the unknown probability distribution of dynamic random variables leveraging noisy partial-state observations. The constructed ambig…
Dynamics of Data-driven Ambiguity Sets for Hyperbolic Conservation Laws with Uncertain Inputs
Francesca Boso, Dimitris Boskos, Jorge Cortés +2
Ambiguity sets of probability distributions are used to hedge against uncertainty about the true probabilities of random quantities of interest (QoIs). When available, these ambigu…
Data-driven ambiguity sets with probabilistic guarantees for dynamic processes
Dimitris Boskos, Jorge Cortés, Sonia Martínez
Distributional ambiguity sets provide quantifiable ways to characterize the uncertainty about the true probability distribution of random variables of interest. This makes them a k…