Publications

*: Alphabetical or co-first author

2026

  1. Preference Robustness for DPO with Applications to Public Health
    Cheol Woo Kim*, Shresth Verma*, Mauricio Tec*, and Milind Tambe
    In AAAI Conference on Artificial Intelligence (AAAI), 2026

2025

  1. Lightweight Robust Direct Preference Optimization
    Cheol Woo Kim*, Shresth Verma*, Mauricio Tec*, and Milind Tambe
    In NeurIPS 2025 Workshop: Reliable ML from Unreliable Data, 2025
    arXiv
  2. Robust Optimization with Diffusion Models for Green Security
    Lingkai Kong, Haichuan Wang, Yuqi Pan, Cheol Woo Kim, and 5 more authors
    2025
    Uncertainty in Artificial Intelligence (UAI)
    arXiv
  3. 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
    International Conference on Machine Learning (ICML)
    arXiv
  4. LLM-based Agent Simulation for Maternal Health Interventions: Uncertainty Estimation and Decision-focused Evaluation
    Sarah Martinson, Lingkai Kong, Cheol Woo Kim, Aparna Taneja, and 1 more author
    2025
    AAMAS Workshop on Autonomous Agents for Social Good (AASG)
    arXiv
  5. Optimal Control of Multiclass Fluid Queueing Networks: A Machine Learning Approach
    Dimitris Bertsimas*, and Cheol Woo Kim*
    2025
    Minor Revision at Operations Research
    arXiv
  6. 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
    arXiv

2024

  1. A machine learning approach to two-stage adaptive robust optimization
    Dimitris Bertsimas*, and Cheol Woo Kim*
    European Journal of Operational Research, 2024
    DOI

2023

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