Bayraksan Gives Plenary Address at International Conference on Stochastic Programming
Bayraksan spoke on "Effective Scenarios in Distributionally Robust and Risk-Averse Stochastic Programs." This work creates a framework to identify what scenarios are critical to a decision-making problem under risk and uncertainty. Such critical scenarios can be used in multiple ways including (i) revealing managerial insights into important problems with complex uncertainties, (ii) scenario reduction for efficient solution of large-scale problems by focusing on important scenarios, and (iii) guiding the selection of a risk level acceptable to decision makers.
Additional details can be read at https://www.anl.gov/mcs/article/guzin-bayraksan-gives-plenary-address-at-international-conference-on-stochastic-programming