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ORCIDPascal Van Hentenryck
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- affiliation: Georgia Institute of Technology, School of Industrial and Systems Engineering, Atlanta, GA, USA
- affiliation (former): Brown University, Providence, RI, USA
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2020 – today
- 2023
[j117]Terrence W. K. Mak
, Minas Chatzos, Mathieu Tanneau, Pascal Van Hentenryck:
Learning Regionally Decentralized AC Optimal Power Flows With ADMM. IEEE Trans. Smart Grid 14(6): 4863-4876 (2023)- [c230]Seonho Park, Pascal Van Hentenryck:
Self-Supervised Primal-Dual Learning for Constrained Optimization. AAAI 2023: 4052-4060 - [c229]Chungjae Lee, Wirattawut Boonbandansook, Vahid Eghbal Akhlaghi, Kevin Dalmeijer, Pascal Van Hentenryck:
Constraint Programming to Improve Hub Utilization in Autonomous Transfer Hub Networks (Short Paper). CP 2023: 46:1-46:11 - [c228]Cuong Tran, Keyu Zhu, Ferdinando Fioretto, Pascal Van Hentenryck:
SF-PATE: Scalable, Fair, and Private Aggregation of Teacher Ensembles. IJCAI 2023: 501-509 - [c227]Enpeng Yuan, Wenbo Chen, Pascal Van Hentenryck:
Reinforcement Learning from Optimization Proxy for Ride-Hailing Vehicle Relocation (Extended Abstract). IJCAI 2023: 6990-6994 - [i106]Seonho Park, Wenbo Chen, Terrence W. K. Mak, Pascal Van Hentenryck:
Compact Optimization Learning for AC Optimal Power Flow. CoRR abs/2301.08840 (2023) - [i105]Wenbo Chen, Reem Khir, Pascal Van Hentenryck:
Two-Stage Learning For the Flexible Job Shop Scheduling Problem. CoRR abs/2301.09703 (2023) - [i104]Keyu Zhu, Ferdinando Fioretto, Pascal Van Hentenryck, Saswat Das, Christine Task:
Privacy and Bias Analysis of Disclosure Avoidance Systems. CoRR abs/2301.12204 (2023) - [i103]Tejas Santanam, Anthony Trasatti, Hanyu Zhang, Connor Riley, Pascal Van Hentenryck, Ramayya Krishnan:
Changes in Commuter Behavior from COVID-19 Lockdowns in the Atlanta Metropolitan Area. CoRR abs/2302.13512 (2023) - [i102]Nabeel Gillani, Doug Beeferman, Christine Vega-Pourheydarian, Cassandra Overney, Pascal Van Hentenryck, Deb Roy:
Redrawing attendance boundaries to promote racial and ethnic diversity in elementary schools. CoRR abs/2303.07603 (2023) - [i101]John P. Dickerson, Bistra Dilkina, Yu Ding, Swati Gupta, Pascal Van Hentenryck, Sven Koenig, Ramayya Krishnan, Radhika Kulkarni, Catherine Gill, Haley Griffin, Maddy Hunter, Ann Schwartz:
Artificial Intelligence/Operations Research Workshop 2 Report Out. CoRR abs/2304.04677 (2023) - [i100]Wenbo Chen, Mathieu Tanneau, Pascal Van Hentenryck:
End-to-End Feasible Optimization Proxies for Large-Scale Economic Dispatch. CoRR abs/2304.11726 (2023) - [i99]Keyu Zhu, Nabeel Gillani, Pascal Van Hentenryck:
Impacts of Differential Privacy on Fostering more Racially and Ethnically Diverse Elementary Schools. CoRR abs/2305.07762 (2023) - [i98]Tejas Santanam, Pascal Van Hentenryck:
Modern Constraint Programming Education: Lessons for the Future. CoRR abs/2306.13676 (2023) - [i97]Pascal Van Hentenryck, Kevin Dalmeijer:
AI4OPT: AI Institute for Advances in Optimization. CoRR abs/2307.02671 (2023) - [i96]Ritesh Ojha, Wenbo Chen, Hanyu Zhang, Reem Khir, Alan L. Erera, Pascal Van Hentenryck:
Optimization-based Learning for Dynamic Load Planning in Trucking Service Networks. CoRR abs/2307.04050 (2023) - [i95]Pascal Van Hentenryck, Connor Riley, Anthony Trasatti, Hongzhao Guan, Tejas Santanam, Jorge A. Huertas, Kevin Dalmeijer, Kari Watkins, Juwon Drake, Samson Baskin:
MARTA Reach: Piloting an On-Demand Multimodal Transit System in Atlanta. CoRR abs/2308.02681 (2023) - [i94]Hanyu Zhang, Mathieu Tanneau, Chaofan Huang, V. Roshan Joseph, Shangkun Wang, Pascal Van Hentenryck:
Asset Bundling for Wind Power Forecasting. CoRR abs/2309.16492 (2023) - [i93]Kevin Wu, Mathieu Tanneau, Pascal Van Hentenryck:
Strong Mixed-Integer Formulations for Transmission Expansion Planning with FACTS Devices. CoRR abs/2310.02347 (2023) - [i92]Guancheng Qiu, Mathieu Tanneau, Pascal Van Hentenryck:
Dual Conic Proxies for AC Optimal Power Flow. CoRR abs/2310.02969 (2023) - [i91]Andrew W. Rosemberg, Mathieu Tanneau, Bruno Fanzeres, Joaquim Dias Garcia, Pascal Van Hentenryck:
Learning Optimal Power Flow Value Functions with Input-Convex Neural Networks. CoRR abs/2310.04605 (2023) - [i90]James Kotary, Vincenzo Di Vito, Jacob Christopher, Pascal Van Hentenryck, Ferdinando Fioretto:
Predict-Then-Optimize by Proxy: Learning Joint Models of Prediction and Optimization. CoRR abs/2311.13087 (2023) - 2022
- [j116]Geunyeong Byeon, Pascal Van Hentenryck:
Benders Subproblem Decomposition for Bilevel Problems with Convex Follower. INFORMS J. Comput. 34(3): 1749-1767 (2022) - [j115]Enpeng Yuan, Wenbo Chen, Pascal Van Hentenryck:
Reinforcement Learning from Optimization Proxy for Ride-Hailing Vehicle Relocation. J. Artif. Intell. Res. 75: 985-1002 (2022) - [j114]Shixiang Zhu, Ruyi Ding, Minghe Zhang, Pascal Van Hentenryck, Yao Xie:
Spatio-Temporal Point Processes With Attention for Traffic Congestion Event Modeling. IEEE Trans. Intell. Transp. Syst. 23(7): 7298-7309 (2022) - [c226]James Kotary, Ferdinando Fioretto, Pascal Van Hentenryck:
Fast Approximations for Job Shop Scheduling: A Lagrangian Dual Deep Learning Method. AAAI 2022: 7239-7246 - [c225]Augustin Delecluse, Pierre Schaus, Pascal Van Hentenryck:
Sequence Variables for Routing Problems. CP 2022: 19:1-19:17 - [c224]Jorge A. Huertas, Pascal Van Hentenryck:
Large-scale Zone-based Evacuation Planning: Generating Convergent and Non-Preemptive Evacuation Plans via Column Generation. HICSS 2022: 1-10 - [c223]Keyu Zhu, Ferdinando Fioretto, Pascal Van Hentenryck:
Post-processing of Differentially Private Data: A Fairness Perspective. IJCAI 2022: 4029-4035 - [c222]Ferdinando Fioretto, Cuong Tran, Pascal Van Hentenryck, Keyu Zhu:
Differential Privacy and Fairness in Decisions and Learning Tasks: A Survey. IJCAI 2022: 5470-5477 - [c221]James Kotary, Ferdinando Fioretto, Pascal Van Hentenryck, Ziwei Zhu:
End-to-End Learning for Fair Ranking Systems. WWW 2022: 3520-3530 - [i89]Keyu Zhu, Ferdinando Fioretto, Pascal Van Hentenryck:
Post-processing of Differentially Private Data: A Fairness Perspective. CoRR abs/2201.09425 (2022) - [i88]Ferdinando Fioretto, Cuong Tran, Pascal Van Hentenryck, Keyu Zhu:
Differential Privacy and Fairness in Decisions and Learning Tasks: A Survey. CoRR abs/2202.08187 (2022) - [i87]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:
Risk-Aware Control and Optimization for High-Renewable Power Grids. CoRR abs/2204.00950 (2022) - [i86]Cuong Tran, Keyu Zhu, Ferdinando Fioretto, Pascal Van Hentenryck:
SF-PATE: Scalable, Fair, and Private Aggregation of Teacher Ensembles. CoRR abs/2204.05157 (2022) - [i85]Terrence W. K. Mak, Minas Chatzos, Mathieu Tanneau, Pascal Van Hentenryck:
Learning Regionally Decentralized AC Optimal Power Flows with ADMM. CoRR abs/2205.03787 (2022) - [i84]Michael Klamkin, Mathieu Tanneau, Terrence W. K. Mak, Pascal Van Hentenryck:
Active Bucketized Learning for ACOPF Optimization Proxies. CoRR abs/2208.07497 (2022) - [i83]Seonho Park, Pascal Van Hentenryck:
Self-Supervised Primal-Dual Learning for Constrained Optimization. CoRR abs/2208.09046 (2022) - [i82]Oliver Stover, Pranav Karve, Sankaran Mahadevan, Wenbo Chen, Haoruo Zhao, Mathieu Tanneau, Pascal Van Hentenryck:
Just-In-Time Learning for Operational Risk Assessment in Power Grids. CoRR abs/2209.12762 (2022) - [i81]Cuong Tran, Keyu Zhu, Ferdinando Fioretto, Pascal Van Hentenryck:
Fairness Increases Adversarial Vulnerability. CoRR abs/2211.11835 (2022) - [i80]Seonho Park, Wenbo Chen, Dahye Han, Mathieu Tanneau, Pascal Van Hentenryck:
Confidence-Aware Graph Neural Networks for Learning Reliability Assessment Commitments. CoRR abs/2211.15755 (2022) - 2021
- [j113]Ferdinando Fioretto, Pascal Van Hentenryck, Keyu Zhu:
Differential privacy of hierarchical Census data: An optimization approach. Artif. Intell. 296: 103475 (2021) - [j112]Pascal Van Hentenryck:
Technical perspective: Finding the sweet spot amid accuracy and performance. Commun. ACM 64(11): 120 (2021) - [j111]Franco Berbeglia, Gerardo Berbeglia, Pascal Van Hentenryck:
Market segmentation in online platforms. Eur. J. Oper. Res. 295(3): 1025-1041 (2021) - [j110]Laurent D. Michel, Pierre Schaus, Pascal Van Hentenryck:
MiniCP: a lightweight solver for constraint programming. Math. Program. Comput. 13(1): 133-184 (2021) - [j109]Mohd. Hafiz Hasan, Pascal Van Hentenryck:
Large-scale zone-based evacuation planning - Part I: Models and algorithms. Networks 77(1): 127-145 (2021) - [j108]Mohd. Hafiz Hasan, Pascal Van Hentenryck:
Large-scale zone-based evacuation planning, Part II: Macroscopic and microscopic evaluations. Networks 77(2): 341-358 (2021) - [c220]Cuong Tran, Ferdinando Fioretto, Pascal Van Hentenryck:
Differentially Private and Fair Deep Learning: A Lagrangian Dual Approach. AAAI 2021: 9932-9939 - [c219]Keyu Zhu, Pascal Van Hentenryck, Ferdinando Fioretto:
Bias and Variance of Post-processing in Differential Privacy. AAAI 2021: 11177-11184 - [c218]Lucas Kletzander, Nysret Musliu, Pascal Van Hentenryck:
Branch and Price for Bus Driver Scheduling with Complex Break Constraints. AAAI 2021: 11853-11861 - [c217]Cuong Tran, Ferdinando Fioretto, Pascal Van Hentenryck, Zhiyan Yao:
Decision Making with Differential Privacy under a Fairness Lens. IJCAI 2021: 560-566 - [c216]Enpeng Yuan, Pascal Van Hentenryck:
Real-Time Pricing Optimization for Ride-Hailing Quality of Service. IJCAI 2021: 3742-3748 - [c215]James Kotary, Ferdinando Fioretto, Pascal Van Hentenryck, Bryan Wilder:
End-to-End Constrained Optimization Learning: A Survey. IJCAI 2021: 4475-4482 - [c214]James Kotary, Ferdinando Fioretto, Pascal Van Hentenryck:
Learning Hard Optimization Problems: A Data Generation Perspective. NeurIPS 2021: 24981-24992 - [i79]Terrence W. K. Mak, Ferdinando Fioretto, Pascal Van Hentenryck:
Load Embeddings for Scalable AC-OPF Learning. CoRR abs/2101.03973 (2021) - [i78]Minas Chatzos, Terrence W. K. Mak, Pascal Van Hentenryck:
Spatial Network Decomposition for Fast and Scalable AC-OPF Learning. CoRR abs/2101.06768 (2021) - [i77]James Kotary, Ferdinando Fioretto, Pascal Van Hentenryck, Bryan Wilder:
End-to-End Constrained Optimization Learning: A Survey. CoRR abs/2103.16378 (2021) - [i76]Ferdinando Fioretto, Cuong Tran, Pascal Van Hentenryck:
Decision Making with Differential Privacy under a Fairness Lens. CoRR abs/2105.07513 (2021) - [i75]Enpeng Yuan, Pascal Van Hentenryck:
Learning Model-Based Vehicle-Relocation Decisions for Real-Time Ride-Sharing: Hybridizing Learning and Optimization. CoRR abs/2105.13461 (2021) - [i74]James Kotary, Ferdinando Fioretto, Pascal Van Hentenryck:
Learning Hard Optimization Problems: A Data Generation Perspective. CoRR abs/2106.02601 (2021) - [i73]Tejas Santanam, Anthony Trasatti, Pascal Van Hentenryck, Hanyu Zhang:
Public Transit for Special Events: Ridership Prediction and Train Optimization. CoRR abs/2106.05359 (2021) - [i72]James Kotary, Ferdinando Fioretto, Pascal Van Hentenryck:
Fast Approximations for Job Shop Scheduling: A Lagrangian Dual Deep Learning Method. CoRR abs/2110.06365 (2021) - [i71]Minas Chatzos, Mathieu Tanneau, Pascal Van Hentenryck:
Data-Driven Time Series Reconstruction for Modern Power Systems Research. CoRR abs/2110.13772 (2021) - [i70]Enpeng Yuan, Pascal Van Hentenryck:
Learning Model Predictive Controllers for Real-Time Ride-Hailing Vehicle Relocation and Pricing Decisions. CoRR abs/2111.03204 (2021) - [i69]James Kotary, Ferdinando Fioretto, Pascal Van Hentenryck, Ziwei Zhu:
End-to-end Learning for Fair Ranking Systems. CoRR abs/2111.10723 (2021) - [i68]Wenbo Chen, Seonho Park, Mathieu Tanneau, Pascal Van Hentenryck:
Learning Optimization Proxies for Large-Scale Security-Constrained Economic Dispatch. CoRR abs/2112.13469 (2021) - 2020
- [j107]Grace Bang, Guy Barash, Ryan Beal, Jacques Calì, Mauricio Castillo-Effen, Xin Cynthia Chen, Niyati Chhaya, Rachel Cummings, Rohan Dhoopar, Sebastijan Dumancic, Huáscar Espinoza, Eitan Farchi, Ferdinando Fioretto, Raquel Fuentetaja, Christopher William Geib, Odd Erik Gundersen, José Hernández-Orallo, Xiaowei Huang, Kokil Jaidka, Sarah Keren, Seokhwan Kim, Michel Galley, Xiaomo Liu, Tyler Lu, Zhiqiang Ma, Richard Mallah, John A. McDermid, Martin Michalowski, Reuth Mirsky, Seán Ó hÉigeartaigh, Deepak Ramachandran, Javier Segovia Aguas, Onn Shehory, Arash Shaban-Nejad, Vered Shwartz, Siddharth Srivastava, Kartik Talamadupula, Jian Tang, Pascal Van Hentenryck, Dell Zhang, Jian Zhang:
The Association for the Advancement of Artificial Intelligence 2020 Workshop Program. AI Mag. 41(4): 100-114 (2020) - [j106]Mohd. Hafiz Hasan, Pascal Van Hentenryck:
The flexible and real-time commute trip sharing problems. Constraints An Int. J. 25(3-4): 160-179 (2020) - [j105]Damla Kizilay, Pascal Van Hentenryck, Deniz Türsel Eliiyi:
Constraint programming models for integrated container terminal operations. Eur. J. Oper. Res. 286(3): 945-962 (2020) - [j104]Geunyeong Byeon, Pascal Van Hentenryck, Russell Bent, Harsha Nagarajan:
Communication-Constrained Expansion Planning for Resilient Distribution Systems. INFORMS J. Comput. 32(4): 968-985 (2020) - [j103]Edward Lam, Graeme Gange, Peter J. Stuckey, Pascal Van Hentenryck, Jip J. Dekker:
Nutmeg: a MIP and CP Hybrid Solver Using Branch-and-Check. Oper. Res. Forum 1(3) (2020) - [j102]Thomas Ying-Jeh Chen, Connor Riley, Pascal Van Hentenryck, Seth D. Guikema:
Optimizing inspection routes in pipeline networks. Reliab. Eng. Syst. Saf. 195: 106700 (2020) - [j101]Edward Lam, Pascal Van Hentenryck, Philip Kilby:
Joint Vehicle and Crew Routing and Scheduling. Transp. Sci. 54(2): 488-511 (2020) - [j100]Mohd. Hafiz Hasan, Pascal Van Hentenryck, Antoine Legrain:
The Commute Trip-Sharing Problem. Transp. Sci. 54(6): 1640-1675 (2020) - [j99]Ferdinando Fioretto, Terrence W. K. Mak, Pascal Van Hentenryck:
Differential Privacy for Power Grid Obfuscation. IEEE Trans. Smart Grid 11(2): 1356-1366 (2020) - [c213]Ferdinando Fioretto, Terrence W. K. Mak, Pascal Van Hentenryck:
Predicting AC Optimal Power Flows: Combining Deep Learning and Lagrangian Dual Methods. AAAI 2020: 630-637 - [c212]Vladimir Dvorkin, Pascal Van Hentenryck, Jalal Kazempour, Pierre Pinson:
Differentially Private Distributed Optimal Power Flow. CDC 2020: 2092-2097 - [c211]Beste Basciftci, Pascal Van Hentenryck:
Bilevel Optimization for On-Demand Multimodal Transit Systems. CPAIOR 2020: 52-68 - [c210]Kevin Dalmeijer, Pascal Van Hentenryck:
Transfer-Expanded Graphs for On-Demand Multimodal Transit Systems. CPAIOR 2020: 167-175 - [c209]Ferdinando Fioretto, Lesia Mitridati, Pascal Van Hentenryck:
Differential Privacy for Stackelberg Games. IJCAI 2020: 3480-3486 - [c208]Connor Riley, Pascal Van Hentenryck, Enpeng Yuan:
Real-Time Dispatching of Large-Scale Ride-Sharing Systems: Integrating Optimization, Machine Learning, and Model Predictive Control. IJCAI 2020: 4417-4423 - [c207]Ferdinando Fioretto, Pascal Van Hentenryck:
OptStream: Releasing Time Series Privately (Extended Abstract). IJCAI 2020: 5135-5139 - [c206]Ferdinando Fioretto, Pascal Van Hentenryck, Terrence W. K. Mak, Cuong Tran, Federico Baldo, Michele Lombardi:
Lagrangian Duality for Constrained Deep Learning. ECML/PKDD (5) 2020: 118-135 - [i67]Ferdinando Fioretto, Terrence W. K. Mak, Federico Baldo, Michele Lombardi, Pascal Van Hentenryck:
A Lagrangian Dual Framework for Deep Neural Networks with Constraints. CoRR abs/2001.09394 (2020) - [i66]Ferdinando Fioretto, Terrence W. K. Mak, Pascal Van Hentenryck:
Bilevel Optimization for Differentially Private Optimization. CoRR abs/2001.09508 (2020) - [i65]Ferdinando Fioretto, Lesia Mitridati, Pascal Van Hentenryck:
Differential Privacy for Stackelberg Games. CoRR abs/2002.00944 (2020) - [i64]Connor Riley, Pascal Van Hentenryck, Enpeng Yuan:
Real-Time Dispatching of Large-Scale Ride-Sharing Systems: Integrating Optimization, Machine Learning, and Model Predictive Control. CoRR abs/2003.10942 (2020) - [i63]Vladimir Dvorkin, Ferdinando Fioretto, Pascal Van Hentenryck, Jalal Kazempour, Pierre Pinson:
Differentially Private Optimal Power Flow for Distribution Grids. CoRR abs/2004.03921 (2020) - [i62]Lesia Mitridati, Pascal Van Hentenryck, Jalal Kazempour:
Electricity-Aware Heat Unit Commitment: A Bid-Validity Approach. CoRR abs/2005.03120 (2020) - [i61]Felipe Maldonado, Gerardo Berbeglia, Pascal Van Hentenryck:
Pricing under a multinomial logit model with non linear network effects. CoRR abs/2005.03352 (2020) - [i60]Shixiang Zhu, Ruyi Ding, Minghe Zhang, Pascal Van Hentenryck, Yao Xie:
Spatio-Temporal Point Processes with Attention for Traffic Congestion Event Modeling. CoRR abs/2005.08665 (2020) - [i59]Vladimir Dvorkin, Ferdinando Fioretto, Pascal Van Hentenryck, Jalal Kazempour, Pierre Pinson:
Differentially Private Convex Optimization with Feasibility Guarantees. CoRR abs/2006.12338 (2020) - [i58]Ferdinando Fioretto, Pascal Van Hentenryck, Keyu Zhu:
Differential Privacy of Hierarchical Census Data: An Optimization Approach. CoRR abs/2006.15673 (2020) - [i57]Minas Chatzos, Ferdinando Fioretto, Terrence W. K. Mak, Pascal Van Hentenryck:
High-Fidelity Machine Learning Approximations of Large-Scale Optimal Power Flow. CoRR abs/2006.16356 (2020) - [i56]Alexandre Velloso, Pascal Van Hentenryck:
Combining Deep Learning and Optimization for Security-Constrained Optimal Power Flow. CoRR abs/2007.07002 (2020) - [i55]Mohd. Hafiz Hasan, Pascal Van Hentenryck:
The Benefits of Autonomous Vehicles for Community-Based Trip Sharing. CoRR abs/2008.12800 (2020) - [i54]Cuong Tran, Ferdinando Fioretto, Pascal Van Hentenryck:
Differentially Private and Fair Deep Learning: A Lagrangian Dual Approach. CoRR abs/2009.12562 (2020) - [i53]Keyu Zhu, Pascal Van Hentenryck, Ferdinando Fioretto:
Bias and Variance of Post-processing in Differential Privacy. CoRR abs/2010.04327 (2020)
2010 – 2019
- 2019
- [j98]Álvaro Flores, Gerardo Berbeglia, Pascal Van Hentenryck:
Assortment optimization under the Sequential Multinomial Logit Model. Eur. J. Oper. Res. 273(3): 1052-1064 (2019) - [j97]Terrence W. K. Mak, Pascal Van Hentenryck, Anatoly Zlotnik, Russell Bent:
Dynamic Compressor Optimization in Natural Gas Pipeline Systems. INFORMS J. Comput. 31(1): 40-65 (2019) - [j96]Ferdinando Fioretto, Pascal Van Hentenryck:
OptStream: Releasing Time Series Privately. J. Artif. Intell. Res. 65: 423-456 (2019) - [j95]Michael Chertkov, Mihailo R. Jovanovic, Bernard C. Lesieutre, Steven H. Low, Pascal Van Hentenryck, Louis Wehenkel:
Guest Editorial Special Issue on Analysis, Control, and Optimization of Energy Networks. IEEE Trans. Control. Netw. Syst. 6(3): 922-924 (2019) - [j94]Arthur Mahéo, Philip Kilby, Pascal Van Hentenryck:
Benders Decomposition for the Design of a Hub and Shuttle Public Transit System. Transp. Sci. 53(1): 77-88 (2019) - [c205]Ferdinando Fioretto, Pascal Van Hentenryck:
Privacy-Preserving Federated Data Sharing. AAMAS 2019: 638-646 - [c204]Ferdinando Fioretto, Pascal Van Hentenryck:
Differential Privacy of Hierarchical Census Data: An Optimization Approach. CP 2019: 639-655 - [c203]Connor Riley, Antoine Legrain, Pascal Van Hentenryck:
Column Generation for Real-Time Ride-Sharing Operations. CPAIOR 2019: 472-487 - [c202]Ferdinando Fioretto, Terrence W. K. Mak, Pascal Van Hentenryck:
Privacy-Preserving Obfuscation of Critical Infrastructure Networks. IJCAI 2019: 1086-1092 - [i52]Ferdinando Fioretto, Terrence W. K. Mak, Pascal Van Hentenryck:
Differential Privacy for Power Grid Obfuscation. CoRR abs/1901.06949 (2019) - [i51]Xilei Zhao, Xiang Yan, Pascal Van Hentenryck:
Modeling Heterogeneity in Mode-Switching Behavior Under a Mobility-on-Demand Transit System: An Interpretable Machine Learning Approach. CoRR abs/1902.02904 (2019) - [i50]Mohd. Hafiz Hasan, Pascal Van Hentenryck, Antoine Legrain:
The Commute Trip Sharing Problem. CoRR abs/1904.11017 (2019) - [i49]Ferdinando Fioretto, Terrence W. K. Mak, Pascal Van Hentenryck:
Privacy-Preserving Obfuscation of Critical Infrastructure Networks. CoRR abs/1905.09778 (2019) - [i48]Ferdinando Fioretto, Terrence W. K. Mak, Pascal Van Hentenryck:
Predicting AC Optimal Power Flows: Combining Deep Learning and Lagrangian Dual Methods. CoRR abs/1909.10461 (2019) - [i47]Terrence W. K. Mak, Ferdinando Fioretto, Pascal Van Hentenryck:
Privacy-Preserving Obfuscation for Distributed Power Systems. CoRR abs/1910.04250 (2019) - [i46]William Espinoza, Matthew Howard, Julia Lane, Pascal Van Hentenryck:
Shared E-scooters: Business, Pleasure, or Transit? CoRR abs/1910.05807 (2019) - [i45]Lesia Mitridati, Pascal Van Hentenryck, Jalal Kazempour:
A Bid-Validity Mechanism for Sequential Heat and Electricity Market Clearing. CoRR abs/1910.08617 (2019) - [i44]Xilei Zhao, Zhengze Zhou, Xiang Yan, Pascal Van Hentenryck:
Distilling Black-Box Travel Mode Choice Model for Behavioral Interpretation. CoRR abs/1910.13930 (2019) - [i43]Xinyu Liu, Pascal Van Hentenryck, Xilei Zhao:
Optimization Models for Estimating Transit Network Origin-Destination Flows with AVL/APC Data. CoRR abs/1911.05777 (2019) - [i42]Ferdinando Fioretto, Lesia Mitridati, Pascal Van Hentenryck:
PPSM: A Privacy-Preserving Stackelberg Mechanism: Privacy Guarantees for the Coordination of Sequential Electricity and Gas Markets. CoRR abs/1911.10178 (2019) - 2018
- [j93]Felipe Maldonado, Pascal Van Hentenryck, Gerardo Berbeglia, Franco Berbeglia:
Popularity signals in trial-offer markets with social influence and position bias. Eur. J. Oper. Res. 266(2): 775-793 (2018) - [c201]Mohd. Hafiz Hasan, Pascal Van Hentenryck, Ceren Budak, Jiayu Chen, Chhavi Chaudhry:
Community-Based Trip Sharing for Urban Commuting. AAAI 2018: 6589-6597 - [c200]Ferdinando Fioretto, Chansoo Lee, Pascal Van Hentenryck:
Constrained-Based Differential Privacy for Mobility Services. AAMAS 2018: 1405-1413 - [c199]