4 citations · 4 across the 2 of their papers we have counts for
2 papers
cs.LG2022★ 4 cited
Self-Supervised Primal-Dual Learning for Constrained Optimization
Seonho Park, Pascal Van Hentenryck
This paper studies how to train machine-learning models that directly approximate the optimal solutions of constrained optimization problems. This is an empirical risk minimization…
cs.LG2021
Learning Optimization Proxies for Large-Scale Security-Constrained Economic Dispatch
Wenbo Chen, Seonho Park, Mathieu Tanneau +1
The Security-Constrained Economic Dispatch (SCED) is a fundamental optimization model for Transmission System Operators (TSO) to clear real-time energy markets while ensuring relia…