Cheol Woo Kim

According to our database, Cheol Woo Kim authored at least 15 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Generating Robust Portfolios of Optimization Models using Large Language Models.

Eleni Straitouri, Cheol Woo Kim, Milind Tambe

CoRR, May, 2026

Bilevel Optimization of Synthetic Trajectories for Multi-Turn LLM Fine-Tuning.

Shresth Verma, Mauricio Tec, Cheol Woo Kim, Kai Wang, Milind Tambe

CoRR, May, 2026

Many Preferences, Few Policies: Towards Scalable Language Model Personalization.

Cheol Woo Kim, Jai Moondra, Roozbeh Nahavandi, Andrew Perrault, Milind Tambe, Swati Gupta

CoRR, April, 2026

Optimal Control of Fluid Restless Multi-armed Bandits: A Machine Learning Approach.

Dimitris Bertsimas, Cheol Woo Kim, José Niño-Mora

Mach. Learn., March, 2026

Incentive-Aware AI Safety via Strategic Resource Allocation: A Stackelberg Security Games Perspective.

Cheol Woo Kim, Davin Choo, Tzeh Yuan Neoh, Milind Tambe

CoRR, February, 2026

Generative AI for Social Impact.

Lingkai Kong, Cheol Woo Kim, Davin Choo, Milind Tambe

CoRR, January, 2026

Generative Artificial Intelligence for Social Impact.

Lingkai Kong, Cheol Woo Kim, Davin Choo, Milind Tambe

IEEE Intell. Syst., 2026

Preference Robustness for DPO with Applications to Public Health.

Cheol Woo Kim, Shresth Verma, Mauricio Tec, Milind Tambe

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Lightweight Robust Direct Preference Optimization.

Cheol Woo Kim, Shresth Verma, Mauricio Tec, Milind Tambe

CoRR, October, 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, March, 2025

Robust Optimization with Diffusion Models for Green Security.

Lingkai Kong, Haichuan Wang, Yuqi Pan, Cheol Woo Kim, Mingxiao Song, Alayna Nguyen, Tonghan Wang, Haifeng Xu, Milind Tambe

Proceedings of the Conference on Uncertainty in Artificial Intelligence, 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

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

A machine learning approach to two-stage adaptive robust optimization.

Dimitris Bertsimas, Cheol Woo Kim

Eur. J. Oper. Res., 2024

2023

A Prescriptive Machine Learning Approach to Mixed-Integer Convex Optimization.

Dimitris Bertsimas, Cheol Woo Kim

INFORMS J. Comput., 2023

Optimal Control of Multiclass Fluid Queueing Networks: A Machine Learning Approach.

Dimitris Bertsimas, Cheol Woo Kim

CoRR, 2023