Publications

In Press

2020

  •  Lagrangian Duality for Constrained Deep Learning. Ferdinando Fioretto, Pascal Van Hentenryck, Terrence W.K. Mak, Cuong Tran, Federico Baldo and Michele Lombardi. In the Proceedings of 2020 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Ghent, Belgium, September 2020.
  • PPSM: A Privacy-Preserving Stackelberg Mechanism. Ferdinando Fioretto, Lesia Mitridati, and Pascal Van Hentenryck. In the Proceedings of 29th International Joint Conference on Artificial Intelligence (IJCAI-20), Tokyo, Japan 2020.
  • Real-Time Dispatching of Large-Scale Ride-Sharing Systems: Integrating Optimization, Machine Learning, and Model Predictive Control. Connor Riley, Pascal Van Hentenryck, and Enpeng Yuan. In the Proceedings of 29th International Joint Conference on Artificial Intelligence (IJCAI-20), Tokyo, Japan 2020.
  • An Exact and Scalable Problem Decomposition for Security-Constrained Optimal Power Flow. Alexandre Velloso, Pascal Van~Hentenryck, and Emma Johnson. In the Proceedings of the XXI Power Systems Computation Conference (PSCC-2020), Porto, Portugal, June 2020.
  • Privacy-Preserving Obfuscation for Distributed Power Systems. Fernandino Fioretto, Terrence Mak, and Pascal Van Hentenryck. In the Proceedings of the XXI Power Systems Computation Conference (PSCC-2020), Porto, Portugal, June 2020.
  • Bilevel Optimization for On-Demand Multimodal Transit Systems. Beste Basciftci and Pascal Van Hentenryck. In the Proceedings of the 17th International Conference on the Integration of Constraint Programming, Artificial Intelligence, and Operations Research (CPAIOR 2020), Vienna, Austria, May, 2020.
  • Transfer-Expanded Graphs for On-Demand Multimodal Transit Systems. Kevin Dalmeijer and Pascal Van Hentenryck. In the Proceedings of the 17th International Conference on the Integration of Constraint Programming, Artificial Intelligence, and Operations Research (CPAIOR 2020), Vienna, Austria, May, 2020.
  • Unit Commitment with Gas Network Awareness.  Geunyeong Byeon and Pascal Van Hentenryck. IEEE Transactions on Power Systems, vol. 35, no. 2, pp. 1327-1339, March 2020.
  • Privacy-Preserving Power System Obfuscation: A Bilevel Optimization Approach. Terrence Mak, Fernandino Fioretto, Lyndon Shi, and Pascal Van Hentenryck. IEEE Transactions on Power Systems, 35(2), 1627–1637, March 2020.
  • Differential Privacy for Power Grid Obfuscation. Fernandino Fioretto, Terrence Mak, and Pascal Van Hentenryck. IEEE Transactions on Smart Grids, 11(2), 1356–1366, March 2020.
  • Optimizing Inspection Routes in Pipeline Networks. Thomas Chen, Connor Riley, Pascal Van Hentenryck, and Seth Guikema. Reliability Engineering and System Safety. 195, March, 2020.
  • Predicting AC Optimal Power Flows: Combining Deep Learning and Lagrangian Dual Methods. Ferdinando Fioretto, Terrence W.K. Mak, and Pascal Van Hentenryck. Proceeding of The Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-20), February, 2020.
  • Shared E-scooters: Business, Pleasure, or Transit? William Espinoza, Matthew Howard, Julia Lane, Pascal Van Hentenryck,  Transportation Board Annual Meeting, Washington DC, January 2020.
  • Distilling Black-Box Travel Mode Choice Model for Behavioral Interpretation. Xilei Zhao, Zhengze Zhou, Xiang Yan, Pascal Van Hentenryck. In the 2020 Transportation Board Annual Meeting, January 2020.
  • Optimization Models for Estimating Transit Network Origin-Destination Flows with AVL/APC Data. Xinyu Liu, Pascal Van Hentenryck, and Xilei Zhao.  Transportation Board Annual Meeting, January 2020.

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2012

Working Papers