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Self-Supervised Primal-Dual Learning for Constrained Optimization


Aug 18, 2022
Seonho Park, Pascal Van Hentenryck

* 16 pages, 3 figures 

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Active Bucketized Learning for ACOPF Optimization Proxies


Aug 16, 2022
Michael Klamkin, Mathieu Tanneau, Terrence W. K. Mak, Pascal Van Hentenryck


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Learning Regionally Decentralized AC Optimal Power Flows with ADMM


May 08, 2022
Terrence W. K. Mak, Minas Chatzos, Mathieu Tanneau, Pascal Van Hentenryck

* 10 pages 

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SF-PATE: Scalable, Fair, and Private Aggregation of Teacher Ensembles


Apr 11, 2022
Cuong Tran, Keyu Zhu, Ferdinando Fioretto, Pascal Van Hentenryck


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Risk-Aware Control and Optimization for High-Renewable Power Grids


Apr 02, 2022
Neil Barry, Minas Chatzos, Wenbo Chen, Dahye Han, Chaofan Huang, Roshan Joseph, Michael Klamkin, Seonho Park, Mathieu Tanneau, Pascal Van Hentenryck, Shangkun Wang, Hanyu Zhang, Haoruo Zhao


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Differential Privacy and Fairness in Decisions and Learning Tasks: A Survey


Feb 16, 2022
Ferdinando Fioretto, Cuong Tran, Pascal Van Hentenryck, Keyu Zhu

* Under review 

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Post-processing of Differentially Private Data: A Fairness Perspective


Jan 24, 2022
Keyu Zhu, Ferdinando Fioretto, Pascal Van Hentenryck


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Learning Optimization Proxies for Large-Scale Security-Constrained Economic Dispatch


Dec 27, 2021
Wenbo Chen, Seonho Park, Mathieu Tanneau, Pascal Van Hentenryck

* The paper is the extension version of the paper submitted to PSCC2022 

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End-to-end Learning for Fair Ranking Systems


Nov 21, 2021
James Kotary, Ferdinando Fioretto, Pascal Van Hentenryck, Ziwei Zhu

* Under review 

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Learning Model Predictive Controllers for Real-Time Ride-Hailing Vehicle Relocation and Pricing Decisions


Nov 05, 2021
Enpeng Yuan, Pascal Van Hentenryck

* arXiv admin note: text overlap with arXiv:2105.13461 

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