publications

Publications in reverse chronological order. The year corresponds to the last paper update. Click on a paper's title to access its abstract and PDF.

  • 2024
    A Better Match for Everyone: Reinforcement Learning at Lyft
    S. Martin and 10+ Lyft collaborators
    INFORMS Journal on Applied Analytics
    2023 Franz Edelman Award Laureate
  • 2024
  • 2024
    Human-AI Interactions and Societal Pitfalls
    F. Castro, J. Gao, S. Martin
    Working Paper
    Accepted in EC 2024. Featured in the Wall Street Journal.
  • 2024
    Detours in Shared Rides
    I. Lobel, S. Martin
    Management Science
  • 2024
    Employees versus Contractors: An Operational Perspective.
    I. Lobel, S. Martin, H. Song
    Manufacturing & Sercice Operations Management (Frontiers in Operations)
  • 2024
    Value of Sharing in Robots-as-a-Service Operations
    A. Jacquillat, S. Martin, K. Zhang
    Working Paper
  • 2024
    Algorithmic Precision and Human Decision: A Study of Interactive Optimization for School Schedules
    A. Delarue, Z. Lian, S. Martin
    R&R at Management Science
    Accepted in EC 2024.
  • 2024
    Two-Sided Flexibility in Platforms
    D. Freund, S. Martin, J. (K.) Zhao
    Working Paper
    MIT ORC Best Student Paper Award, 2024
  • 2024
    Trading Flexibility for adoption: Dynamic versus static walking in ridesharing
    J. Yan, S. Martin, S. Taylor,
    Accepted in Management Science
  • 2024
    Relative Monte Carlo for Reinforcement Learning
    A. Bazerghi, S. Martin, G. van Ryzin
    Working Paper
  • 2023
    Mobility-on-Demand Meets Shuttles on the Same Mile
    S. Chopra, P. Mishra, K. Smilowitz
    Working Paper
  • 2023
    Labor Cost Free-Riding in the Gig Economy
    Z. Lian, S. Martin, G. van Ryzin
    Major revision, Management Science
    INFORMS RMP (Revenue Management and Pricing) Student Paper Award Finalist, 2021
  • 2022
    Solving the ride-sharing productivity paradox: Priority dispatch and optimal priority sets
    V. Krishnan, R. Iglesias, S. Martin, V. Pattabhiraman, S. Wang, G. van Ryzin
    INFORMS Journal on Applied Analytics
    Daniel H. Wagner Prize Finalist, 2022
  • 2022
    Real-Time Rideshare Driver Supply Values using Online Reinforcement Learning
    B.Han, H. Lee, S. Martin
    KDD 2022 (Machine Learning Conference)
  • 2022
    Supply Prioritization in Hybrid Marketplaces
    F. Castro, J. Gao, S. Martin
    Working Paper
  • 2020
    Bus Routing Optimization Helps Boston Public Schools Design Better Policies
    D. Bertsimas, A. Delarue, W. Eger, J. Hanlon, S. Martin
    INFORMS Journal on Applied Analytics
    2019 Franz Edelman Award Laureate
  • 2019
    Online Vehicle Routing: The Edge of Optimization in Large-Scale Applications
    D. Bertsimas, P. Jaillet, S. Martin
    Operations Research
    Best Presentation (2018 LIDS conference)
  • 2019
    Travel Time Estimation in the Age of Big Data
    D. Bertsimas, A. Delarue, P. Jaillet, S. Martin
    Operations Research
  • 2019
    The Price of Interpretability
    D. Bertsimas, A. Delarue, P. Jaillet, S. Martin
    arXiv
  • 2019
    Optimizing schools’ start time and bus routes
    D. Bertsimas, A. Delarue, S. Martin
    Proceedings of the National Academy of Science
    Featured in the Wall Street Journal and the Boston Globe. MIT ORC Best Student Paper Award, 2018. Doing Good with Good OR INFORMS award, Second Place, 2019.