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Optimization problems are ubiquitous in our societies and are present in almost every segment of the economy.
Security-constrained optimal power flow with post-contingency corrective rescheduling
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Optimal capacitor placement on radial distribution systems
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Combining learning and optimization for transprecision computing
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Relu networks are universal approximators via piecewise linear or constant functions
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Predicting ac optimal power flows: Combining deep learning and lagrangian dual methods
F. Fioretto, T. W. Mak, and P. Van Hentenryck
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Differentiation of blackbox combinatorial solvers
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Learning combinatorial optimization on graphs: A survey with applications to networking
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End-to-end constrained optimization learning: A survey
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