Pascal Van Hentenryck

ORCID

Publication Activity (10 Years)

Years Active: 1986-2024
Publications (10 Years): 190

Top Venues

CoRR

AAAI

IJCAI

Publications

Jiawei Lu, Tinghan Ye, Wenbo Chen, Pascal Van Hentenryck
Boosting Column Generation with Graph Neural Networks for Joint Rider Trip Planning and Crew Shift Scheduling. CoRR (2024)
Mathieu Tanneau, Pascal Van Hentenryck
Dual Lagrangian Learning for Conic Optimization. CoRR (2024)
Michael Klamkin, Mathieu Tanneau, Pascal Van Hentenryck
Dual Interior-Point Optimization Learning. CoRR (2024)
Guancheng Qiu, Mathieu Tanneau, Pascal Van Hentenryck
Dual Conic Proxies for AC Optimal Power Flow. CoRR (2023)
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 (2023)
Wenbo Chen, Reem Khir, Pascal Van Hentenryck
Two-Stage Learning For the Flexible Job Shop Scheduling Problem. CoRR (2023)
Beste Basciftci, Pascal Van Hentenryck
Capturing Travel Mode Adoption in Designing On-Demand Multimodal Transit Systems. Transp. Sci. 57 (2) (2023)
Kevin Wu, Mathieu Tanneau, Pascal Van Hentenryck
Strong Mixed-Integer Formulations for Transmission Expansion Planning with FACTS Devices. CoRR (2023)
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 (2023)
Cuong Tran, Keyu Zhu, Ferdinando Fioretto, Pascal Van Hentenryck
SF-PATE: Scalable, Fair, and Private Aggregation of Teacher Ensembles. IJCAI (2023)
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 (2023)
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) (2023)
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 (2023)
Hanyu Zhang, Mathieu Tanneau, Chaofan Huang, V. Roshan Joseph, Shangkun Wang, Pascal Van Hentenryck
Asset Bundling for Wind Power Forecasting. CoRR (2023)
Seonho Park, Wenbo Chen, Terrence W. K. Mak, Pascal Van Hentenryck
Compact Optimization Learning for AC Optimal Power Flow. CoRR (2023)
Pascal Van Hentenryck, Kevin Dalmeijer
AI4OPT: AI Institute for Advances in Optimization. CoRR (2023)
Tejas Santanam, Pascal Van Hentenryck
Modern Constraint Programming Education: Lessons for the Future. CoRR (2023)
Keyu Zhu, Ferdinando Fioretto, Pascal Van Hentenryck, Saswat Das, Christine Task
Privacy and Bias Analysis of Disclosure Avoidance Systems. CoRR (2023)
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 (2023)
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 (2023)
Enpeng Yuan, Wenbo Chen, Pascal Van Hentenryck
Reinforcement Learning from Optimization Proxy for Ride-Hailing Vehicle Relocation (Extended Abstract). IJCAI (2023)
Seonho Park, Pascal Van Hentenryck
Self-Supervised Primal-Dual Learning for Constrained Optimization. AAAI (2023)
Wenbo Chen, Mathieu Tanneau, Pascal Van Hentenryck
End-to-End Feasible Optimization Proxies for Large-Scale Economic Dispatch. CoRR (2023)
Keyu Zhu, Nabeel Gillani, Pascal Van Hentenryck
Impacts of Differential Privacy on Fostering more Racially and Ethnically Diverse Elementary Schools. CoRR (2023)
Seonho Park, Pascal Van Hentenryck
Self-Supervised Learning for Large-Scale Preventive Security Constrained DC Optimal Power Flow. CoRR (2023)
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)
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 (2023)
Augustin Delecluse, Pierre Schaus, Pascal Van Hentenryck
Sequence Variables for Routing Problems. CP (2022)
Jorge Huertas, Pascal Van Hentenryck
Large-scale Zone-based Evacuation Planning: Generating Convergent and Non-Preemptive Evacuation Plans via Column Generation. HICSS (2022)
Enpeng Yuan, Wenbo Chen, Pascal Van Hentenryck
Reinforcement Learning from Optimization Proxy for Ride-Hailing Vehicle Relocation. J. Artif. Intell. Res. 75 (2022)
Michael Klamkin, Mathieu Tanneau, Terrence W. K. Mak, Pascal Van Hentenryck
Active Bucketized Learning for ACOPF Optimization Proxies. CoRR (2022)
James Kotary, Ferdinando Fioretto, Pascal Van Hentenryck
Fast Approximations for Job Shop Scheduling: A Lagrangian Dual Deep Learning Method. AAAI (2022)
Keyu Zhu, Ferdinando Fioretto, Pascal Van Hentenryck
Post-processing of Differentially Private Data: A Fairness Perspective. CoRR (2022)
Ferdinando Fioretto, Cuong Tran, Pascal Van Hentenryck, Keyu Zhu
Differential Privacy and Fairness in Decisions and Learning Tasks: A Survey. IJCAI (2022)
Cuong Tran, Keyu Zhu, Ferdinando Fioretto, Pascal Van Hentenryck
Fairness Increases Adversarial Vulnerability. CoRR (2022)
James Kotary, Ferdinando Fioretto, Pascal Van Hentenryck, Ziwei Zhu
End-to-End Learning for Fair Ranking Systems. WWW (2022)
Terrence W. K. Mak, Minas Chatzos, Mathieu Tanneau, Pascal Van Hentenryck
Learning Regionally Decentralized AC Optimal Power Flows with ADMM. CoRR (2022)
Geunyeong Byeon, Pascal Van Hentenryck
Benders Subproblem Decomposition for Bilevel Problems with Convex Follower. INFORMS J. Comput. 34 (3) (2022)
Seonho Park, Pascal Van Hentenryck
Self-Supervised Primal-Dual Learning for Constrained Optimization. CoRR (2022)
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 (2022)
Cuong Tran, Keyu Zhu, Ferdinando Fioretto, Pascal Van Hentenryck
SF-PATE: Scalable, Fair, and Private Aggregation of Teacher Ensembles. CoRR (2022)
Ferdinando Fioretto, Cuong Tran, Pascal Van Hentenryck, Keyu Zhu
Differential Privacy and Fairness in Decisions and Learning Tasks: A Survey. CoRR (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
Risk-Aware Control and Optimization for High-Renewable Power Grids. CoRR (2022)
Keyu Zhu, Ferdinando Fioretto, Pascal Van Hentenryck
Post-processing of Differentially Private Data: A Fairness Perspective. IJCAI (2022)
Seonho Park, Wenbo Chen, Dahye Han, Mathieu Tanneau, Pascal Van Hentenryck
Confidence-Aware Graph Neural Networks for Learning Reliability Assessment Commitments. CoRR (2022)
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) (2022)
James Kotary, Ferdinando Fioretto, Pascal Van Hentenryck, Ziwei Zhu
End-to-end Learning for Fair Ranking Systems. CoRR (2021)
Franco Berbeglia, Gerardo Berbeglia, Pascal Van Hentenryck
Market segmentation in online platforms. Eur. J. Oper. Res. 295 (3) (2021)
Mohd. Hafiz Hasan, Pascal Van Hentenryck
Large-scale zone-based evacuation planning - Part I: Models and algorithms. Networks 77 (1) (2021)
Terrence W. K. Mak, Ferdinando Fioretto, Pascal Van Hentenryck
Load Embeddings for Scalable AC-OPF Learning. CoRR (2021)
Wenbo Chen, Seonho Park, Mathieu Tanneau, Pascal Van Hentenryck
Learning Optimization Proxies for Large-Scale Security-Constrained Economic Dispatch. CoRR (2021)
Laurent D. Michel, Pierre Schaus, Pascal Van Hentenryck
MiniCP: a lightweight solver for constraint programming. Math. Program. Comput. 13 (1) (2021)
James Kotary, Ferdinando Fioretto, Pascal Van Hentenryck, Bryan Wilder
End-to-End Constrained Optimization Learning: A Survey. CoRR (2021)
Ferdinando Fioretto, Cuong Tran, Pascal Van Hentenryck
Decision Making with Differential Privacy under a Fairness Lens. CoRR (2021)
Enpeng Yuan, Pascal Van Hentenryck
Real-Time Pricing Optimization for Ride-Hailing Quality of Service. IJCAI (2021)
Enpeng Yuan, Pascal Van Hentenryck
Learning Model Predictive Controllers for Real-Time Ride-Hailing Vehicle Relocation and Pricing Decisions. CoRR (2021)
Ferdinando Fioretto, Pascal Van Hentenryck, Keyu Zhu
Differential privacy of hierarchical Census data: An optimization approach. Artif. Intell. 296 (2021)
Minas Chatzos, Terrence W. K. Mak, Pascal Van Hentenryck
Spatial Network Decomposition for Fast and Scalable AC-OPF Learning. CoRR (2021)
Tejas Santanam, Anthony Trasatti, Pascal Van Hentenryck, Hanyu Zhang
Public Transit for Special Events: Ridership Prediction and Train Optimization. CoRR (2021)
Minas Chatzos, Mathieu Tanneau, Pascal Van Hentenryck
Data-Driven Time Series Reconstruction for Modern Power Systems Research. CoRR (2021)
James Kotary, Ferdinando Fioretto, Pascal Van Hentenryck, Bryan Wilder
End-to-End Constrained Optimization Learning: A Survey. IJCAI (2021)
Pascal Van Hentenryck
Technical perspective: Finding the sweet spot amid accuracy and performance. Commun. ACM 64 (11) (2021)
James Kotary, Ferdinando Fioretto, Pascal Van Hentenryck
Learning Hard Optimization Problems: A Data Generation Perspective. NeurIPS (2021)
James Kotary, Ferdinando Fioretto, Pascal Van Hentenryck
Fast Approximations for Job Shop Scheduling: A Lagrangian Dual Deep Learning Method. CoRR (2021)
James Kotary, Ferdinando Fioretto, Pascal Van Hentenryck
Learning Hard Optimization Problems: A Data Generation Perspective. CoRR (2021)
Cuong Tran, Ferdinando Fioretto, Pascal Van Hentenryck, Zhiyan Yao
Decision Making with Differential Privacy under a Fairness Lens. IJCAI (2021)
Keyu Zhu, Pascal Van Hentenryck, Ferdinando Fioretto
Bias and Variance of Post-processing in Differential Privacy. AAAI (2021)
Enpeng Yuan, Pascal Van Hentenryck
Learning Model-Based Vehicle-Relocation Decisions for Real-Time Ride-Sharing: Hybridizing Learning and Optimization. CoRR (2021)
Lucas Kletzander, Nysret Musliu, Pascal Van Hentenryck
Branch and Price for Bus Driver Scheduling with Complex Break Constraints. AAAI (2021)
Mohd. Hafiz Hasan, Pascal Van Hentenryck
Large-scale zone-based evacuation planning, Part II: Macroscopic and microscopic evaluations. Networks 77 (2) (2021)
Cuong Tran, Ferdinando Fioretto, Pascal Van Hentenryck
Differentially Private and Fair Deep Learning: A Lagrangian Dual Approach. AAAI (2021)
Ferdinando Fioretto, Terrence W. K. Mak, Pascal Van Hentenryck
Predicting AC Optimal Power Flows: Combining Deep Learning and Lagrangian Dual Methods. AAAI (2020)
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)
Ferdinando Fioretto, Pascal Van Hentenryck
OptStream: Releasing Time Series Privately (Extended Abstract). IJCAI (2020)
Mohd. Hafiz Hasan, Pascal Van Hentenryck
The flexible and real-time commute trip sharing problems. Constraints An Int. J. 25 (3-4) (2020)
Thomas Ying-Jeh Chen, Connor Riley, Pascal Van Hentenryck, Seth D. Guikema
Optimizing inspection routes in pipeline networks. Reliab. Eng. Syst. Saf. 195 (2020)
Vladimir Dvorkin, Ferdinando Fioretto, Pascal Van Hentenryck, Jalal Kazempour, Pierre Pinson
Differentially Private Optimal Power Flow for Distribution Grids. CoRR (2020)
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 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) (2020)
Damla Kizilay, Pascal Van Hentenryck, Deniz Türsel Eliiyi
Constraint programming models for integrated container terminal operations. Eur. J. Oper. Res. 286 (3) (2020)
Kevin Dalmeijer, Pascal Van Hentenryck
Transfer-Expanded Graphs for On-Demand Multimodal Transit Systems. CPAIOR (2020)
Shixiang Zhu, Ruyi Ding, Minghe Zhang, Pascal Van Hentenryck, Yao Xie
Spatio-Temporal Point Processes with Attention for Traffic Congestion Event Modeling. CoRR (2020)
Vladimir Dvorkin, Pascal Van Hentenryck, Jalal Kazempour, Pierre Pinson
Differentially Private Distributed Optimal Power Flow. CDC (2020)
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 (2020)
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)
Felipe Maldonado, Gerardo Berbeglia, Pascal Van Hentenryck
Pricing under a multinomial logit model with non linear network effects. CoRR (2020)
Beste Basciftci, Pascal Van Hentenryck
Bilevel Optimization for On-Demand Multimodal Transit Systems. CPAIOR (2020)
Ferdinando Fioretto, Pascal Van Hentenryck, Keyu Zhu
Differential Privacy of Hierarchical Census Data: An Optimization Approach. CoRR (2020)
Ferdinando Fioretto, Lesia Mitridati, Pascal Van Hentenryck
Differential Privacy for Stackelberg Games. IJCAI (2020)
Edward Lam, Pascal Van Hentenryck, Philip Kilby
Joint Vehicle and Crew Routing and Scheduling. Transp. Sci. 54 (2) (2020)
Geunyeong Byeon, Pascal Van Hentenryck, Russell Bent, Harsha Nagarajan
Communication-Constrained Expansion Planning for Resilient Distribution Systems. INFORMS J. Comput. 32 (4) (2020)
Vladimir Dvorkin, Ferdinando Fioretto, Pascal Van Hentenryck, Jalal Kazempour, Pierre Pinson
Differentially Private Convex Optimization with Feasibility Guarantees. CoRR (2020)
Minas Chatzos, Ferdinando Fioretto, Terrence W. K. Mak, Pascal Van Hentenryck
High-Fidelity Machine Learning Approximations of Large-Scale Optimal Power Flow. CoRR (2020)
Alexandre Velloso, Pascal Van Hentenryck
Combining Deep Learning and Optimization for Security-Constrained Optimal Power Flow. CoRR (2020)
Ferdinando Fioretto, Terrence W. K. Mak, Pascal Van Hentenryck
Bilevel Optimization for Differentially Private Optimization. CoRR (2020)
Mohd. Hafiz Hasan, Pascal Van Hentenryck, Antoine Legrain
The Commute Trip-Sharing Problem. Transp. Sci. 54 (6) (2020)
Ferdinando Fioretto, Terrence W. K. Mak, Pascal Van Hentenryck
Differential Privacy for Power Grid Obfuscation. IEEE Trans. Smart Grid 11 (2) (2020)
Lesia Mitridati, Pascal Van Hentenryck, Jalal Kazempour
Electricity-Aware Heat Unit Commitment: A Bid-Validity Approach. CoRR (2020)
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)
Mohd. Hafiz Hasan, Pascal Van Hentenryck
The Benefits of Autonomous Vehicles for Community-Based Trip Sharing. CoRR (2020)
Keyu Zhu, Pascal Van Hentenryck, Ferdinando Fioretto
Bias and Variance of Post-processing in Differential Privacy. CoRR (2020)

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Publication Activity (10 Years)

Top Topics

Top Venues

Pascal Van Hentenryck