Our Publications

2026

Loke, G. G., Zhu, T., & Zuo, R. (in press). Optimize-via-Estimate: How to Make Finite-Sample Corrections for Sampling Uncertainty in Data-Driven Optimization. Operations Research. https://pubsonline.informs.org/journal/OPRE

Loke, G. G., Tang, Q., Xiao, Y., & Zhang, X. (2026). Decision-Driven Regularization: A Blended Model for Learning and Optimization. INFORMS Journal on Computing. https://doi.org/10.1287/ijoc.2024.0930

Nikolopoulos, K., Alghassab, W. S. A., Litsiou, K., Bougioukos, V., & Polychronakis, Y. (in press). Forecasting and Scenarios for Long-term Diversification Transitions in Oil-based Economies. Socio-Economic Planning Sciences. https://www.sciencedirect.com/journal/socio-economic-planning-sciences