ILBIN LEE

Research Interests

• Decision-making under uncertainty, in particular, based on batch data

• Data analytics in wildfire operations and healthcare

Published Papers

• Lee I., Is Separately Modeling Subpopulations Beneficial for Sequential Decision-Making?, Operations Research, 72(6), 2595-2611, 2024

• Davis S., Rezaei M., Lee I., Zhang J., Greiner R., Padwal R., and McAlister F., Effective Hospital Readmission Prediction Models using Machine-Learned Features, BMC Health Services Research, 22:1415, 2022

• Xiao C., Lee I., Dai B., Schuurmans D., Szepesvari C., The Curse of Passive Data Collection in Batch Reinforcement Learning, Proceedings of The 25th International Conference on Artificial Intelligence and Statistics (AISTATS 2022), PMLR 151:8413-8438, 2022  

• Zheng R., Xie Y., Lee I., Dehghanian A., and Serban N., Parallel Subgradient Algorithm with Block Dual Decomposition for Large-scale Optimization, European Journal of Operational Research 299(1) 60-74, 2022

• Curry S., Lee I., Ma S., and Serban N., Global Sensitivity Analysis via a Statistical Tolerance Approach, European Journal of Operational Research 296(1) 44-59, 2022

• Lee I., Curry S., and Serban N., Solving Large Batches of Linear Programs, INFORMS Journal on Computing 31(2) 302-317, 2019

• Lee I., Monahan S, Serban N, Griffin P, and Tomar S, Estimating the Cost-Savings of Preventive Dental Services Delivered to Medicaid-Enrolled Children in Six Southeastern States, Health Services Research 53(5) 3592-3616, 2018

• Zheng R., Lee I., and Serban N., Regularized Optimization with Spatial Coupling for Robust Decision Making, European Journal of Operational Research 270(3) 898-906, 2018

• Lee I., Riabov A., Sohrabi S., and Udrea O., Investigation Planning for Data Analysis, The 6th Goal Reasoning Workshop at IJCAI/FAIM-2018

• Lee I., Epelman M.A., Romeijn H.E, and Smith R.L., Simplex Algorithm for Countable-state Discounted Markov Decision Processes, Operations Research 65(4) 1029-1042, 2017

• Lee I., Epelman M.A., Romeijn H.E, and Smith R.L., Extreme Point Characterization of Constrained Nonstationary Infinite-horizon Markov Decision Processes with Finite State Space, Operations Research Letters 42 (2014) 238-245

Working Papers

• Sentenac F., Lee I., and Szepesvari C., Balancing Optimism and Pessimism in Offline-to-online Learning (submitted)

• Behrooz M., Lee I., and Cribben I., Optimal Retirement Timing: A Data-Driven Decision-making Model for Retirement Planning (in preparation)

• Zeinali Y., Lee I., Rezaei M., and Ingolfsson A., Data-driven Optimization for Wildfire Suppression Resource Deployment: A Case Study of Alberta Wildfires (in preparation)

Team

• Yasser Zeinali (PhD student, Operations Management, with Ivor Cribben) 2020-present

• Mehrnaz Behrooz (PhD student, Operations Management, with Ivor Cribben) 2020-present

Alumni

• Sacha Davis (MS student, Computing Science, with Russ Greiner) 2019-2023

• Mostafa Rezaei (Previously a postdoc, current: Assistant Professor, ESCP Business School) 2019-2021

• Jin Zhang (Research staff) 2019-2021

• Wang Dong (MS student, Computing Science, with Csaba Szepesvári) 2020-2021

Teaching

University of Alberta, School of Business

• OM 420/620 Predictive Business Analytics, Undergraduate/MBA

• OM 502 Operations Management, MBA

KAIST

• IE 801 Markov Decision Processes and Principles of Reinforcement Learning, Graduate, Fall 2024 while visiting KAIST

University of Michigan

• IOE 202 Operations Modeling, Undergraduate, Fall 2013 during my PhD program

My Erdös number is 4. Find out yours at here.