World's Best Scientists 2026 revealed!
Patrick Jaillet

Patrick Jaillet

D-Index & Metrics

Computer Science

D-Index
51
Citations
10475
World Ranking
5340
National Ranking
2447

Research.com Recognitions

  • 2013 - Fellow of the Institute for Operations Research and the Management Sciences (INFORMS)

Overview

Patrick Jaillet is affiliated with MIT in the United States and has contributed extensively to the fields of Computer Science and Decision Sciences. Their research spans multiple subfields, including Artificial Intelligence, Management Science and Operations Research, Computer Networks and Communications, Automotive Engineering, and Marketing.

Their work focuses on several main topics, such as:

  • Advanced Bandit Algorithms Research
  • Machine Learning and Algorithms
  • Auction Theory and Applications
  • Transportation and Mobility Innovations
  • Optimization and Search Problems
  • Gaussian Processes and Bayesian Inference
  • Transportation Planning and Optimization

Patrick Jaillet has published in a variety of venues, with a significant number appearing in:

  • arXiv (Cornell University)
  • Mathematics of Operations Research
  • Operations Research
  • European Journal of Operational Research
  • Proceedings of the AAAI Conference on Artificial Intelligence

Recent papers authored or co-authored by Patrick Jaillet include:

  • "Federated Bayesian Optimization via Thompson Sampling", 2020, arXiv (Cornell University)
  • "Variational Bayesian Unlearning", 2020, arXiv (Cornell University)
  • "The Robust Vehicle Routing Problem with Time Window Assignments", 2021, Transportation Science
  • "Strategic Workforce Planning Under Uncertainty", 2021, Operations Research
  • "Exploiting the Structure of Two-Stage Robust Optimization Models with Exponential Scenarios", 2020, INFORMS journal on computing

The scientist has collaborated frequently with several co-authors including:

  • Bryan Kian Hsiang Low
  • Zhongxiang Dai
  • Negin Golrezaei
  • Quoc Phong Nguyen
  • Saurabh Amin

In recognition of their contributions to the field, Patrick Jaillet was named a Fellow of the Institute for Operations Research and the Management Sciences (INFORMS) in 2013.

Best Publications

  • Variational inequalities and the pricing of American options

    Patrick Jaillet;Damien Lamberton;Bernard Lapeyre

  • Stochastic and dynamic networks and routing

    Warren Buckler Powell;Patrick Jaillet;Amedeo Odoni

  • A priori solution of a travelling salesman problem in which a random subset of the customers are visited

    Patrick Jaillet

  • Real-Time Multivehicle Truckload Pickup and Delivery Problems

    Jian Yang;Patrick Jaillet;Hani Mahmassani

  • Probabilistic Traveling Salesman Problems

    Patrick Jaillet

  • A priori optimization

    Dimitris J. Bertsimas;Patrick Jaillet;Amedeo R. Odoni

  • Online map-matching based on Hidden Markov model for real-time traffic sensing applications

    C.Y. Goh;J. Dauwels;N. Mitrovic;M. T. Asif

  • A Decomposition Approach to the Inventory Routing Problem with Satellite Facilities

    Jonathan F. Bard;Liu Huang;Patrick Jaillet;Patrick Jaillet;Moshe Dror

  • AIRLINE NETWORK DESIGN AND HUB LOCATION PROBLEMS

    Patrick Jaillet;Gao Song;Gang Yu

  • Spatiotemporal Patterns in Large-Scale Traffic Speed Prediction

    Muhammad Tayyab Asif;Justin Dauwels;Chong Yang Goh;Ali Oran

  • Online Vehicle Routing: The Edge of Optimization in Large-Scale Applications

    Dimitris Bertsimas;Patrick Jaillet;Sébastien Martin

  • Dynamic Repositioning to Reduce Lost Demand in Bike Sharing Systems

    Supriyo Ghosh;Pradeep Varakantham;Yossiri Adulyasak;Patrick Jaillet

  • Online Stochastic Matching: New Algorithms with Better Bounds

    Patrick Jaillet;Xin Lu

  • Delivery Cost Approximations for Inventory Routing Problems in a Rolling Horizon Framework

    Patrick Jaillet;Jonathan F. Bard;Liu Huang;Moshe Dror

  • A branch and cut algorithm for the VRP with satellite facilities

    Jonathan F. Bard;Liu Huang;Moshe Dror;Patrick Jaillet

  • Matrix and Tensor Based Methods for Missing Data Estimation in Large Traffic Networks

    Muhammad Tayyab Asif;Nikola Mitrovic;Justin Dauwels;Patrick Jaillet

  • Routing Optimization Under Uncertainty

    Patrick Jaillet;Jin Qi;Melvyn Sim

  • Rebalancing shared mobility-on-demand systems: A reinforcement learning approach

    Jian Wen;Jinhua Zhao;Patrick Jaillet

  • Online Routing Problems: Value of Advanced Information as Improved Competitive Ratios

    Patrick Jaillet;Michael R. Wagner

  • ON-LINE ALGORITHMS FOR TRUCK FLEET ASSIGNMENT AND SCHEDULING UNDER REAL-TIME INFORMATION

    Jian Yang;Patrick Jaillet;Hani S. Mahmassani

  • Models and Algorithms for Stochastic and Robust Vehicle Routing with Deadlines

    Yossiri Adulyasak;Patrick Jaillet

  • Dynamic Decision Making for Commercial Fleet Operations Using Real-Time Information

    Amelia C. Regan;Hani S. Mahmassani;Patrick Jaillet

Frequent Co-Authors

Hani S. Mahmassani
Hani S. Mahmassani Northwestern University
Justin Dauwels
Justin Dauwels Nanyang Technological University
Miguel A. Figliozzi
Miguel A. Figliozzi Portland State University
Thibaut Vidal
Thibaut Vidal Polytechnique Montréal
Moshe Dror
Moshe Dror University of Arizona
Jonathan F. Bard
Jonathan F. Bard The University of Texas at Austin

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