Optimal Control of Multiclass Fluid Queueing Networks: A Machine Learning Approach. - Dimitris Bertsimas; Cheol Woo Kim (CoRR, 2023)

A Prescriptive Machine Learning Approach to Mixed-Integer Convex Optimization. - Dimitris Bertsimas; Cheol Woo Kim (INFORMS J. Comput., 2023)

A machine learning approach to two-stage adaptive robust optimization. - Dimitris Bertsimas; Cheol Woo Kim (Eur. J. Oper. Res., 2024)

Robust Optimization with Diffusion Models for Green Security. - Lingkai Kong; Haichuan Wang; Yuqi Pan; Cheol Woo Kim; Mingxiao Song; Alayna Nguyen; Tonghan Wang 001; Haifeng Xu; Milind Tambe (UAI, 2025)

Optimal Control of Fluid Restless Multi-armed Bandits: A Machine Learning Approach. - Dimitris Bertsimas; Cheol Woo Kim; José Niño-Mora (CoRR, 2025)

Navigating the Social Welfare Frontier: Portfolios for Multi-objective Reinforcement Learning. - Cheol Woo Kim; Jai Moondra; Shresth Verma; Madeleine Pollack; Lingkai Kong; Milind Tambe; Swati Gupta 001 (CoRR, 2025)

LLM-based Agent Simulation for Maternal Health Interventions: Uncertainty Estimation and Decision-focused Evaluation. - Sarah Martinson; Lingkai Kong; Cheol Woo Kim; Aparna Taneja; Milind Tambe (CoRR, 2025)