Data-Driven Adaptive Robust Optimization

Decision-making under uncertainty is a central challenge in many scientific and industrial domains. Traditional robust optimization provides a powerful framework for hedging against worst-case scenarios but often leads to overly conservative solutions because it relies on static, predefined uncertai... View More