Publications

*: Alphabetical or co-first author

2025

  1. Robust Optimization with Diffusion Models for Green Security
    Lingkai Kong, Haichuan Wang, Yuqi Pan, Cheol Woo Kim, and 5 more authors
    2025
    Preprint
  2. Navigating the Social Welfare Frontier: Portfolios for Multi-objective Reinforcement Learning
    Cheol Woo Kim*, Jai Moondra*, Shresth Verma, Madeleine Pollack, and 3 more authors
    2025
    Preprint
  3. Optimal Control of Fluid Restless Multi-armed Bandits: A Machine Learning Approach
    Dimitris Bertsimas*Cheol Woo Kim*, and José Niño-Mora*
    2025
    Major Revision at Machine Learning

2024

  1. A machine learning approach to two-stage adaptive robust optimization
    Dimitris Bertsimas*, and Cheol Woo Kim*
    European Journal of Operational Research, 2024
  2. Optimal Control of Multiclass Fluid Queueing Networks: A Machine Learning Approach
    Dimitris Bertsimas*, and Cheol Woo Kim*
    2024
    R&R at Operations Research

2023

  1. A Prescriptive Machine Learning Approach to Mixed-Integer Convex Optimization
    Dimitris Bertsimas*, and Cheol Woo Kim*
    INFORMS Journal on Computing, 2023