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Machine Learning for Optimal Power Flows
...Optimal power flow is a cornerstone of electrical power system operations: it is...

Andrea D’Ariano
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Marcella Samà
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Statistical Analysis of Wasserstein Distributionally Robust Estimators
...We consider statistical methods which invoke a min-max distributionally robust ...

Dario Pacciarelli
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Paola Pellegrini
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Exactness in SDP Relaxations of QCQPs: Theory and Applications
...Quadratically constrained quadratic programs (QCQPs) are a fundamental class of ...

Storytelling with Sports Analytics
...As the use of analytics grows in the sports industry, debates about the ...

Jacob Trepat Borecka
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Discrete Choice Models and Applications in Operations Management
...Modeling decision behavior among multiple choices has been an active research ...