2024
A Discretization Framework for Robust Contextual Stochastic Optimization
ICLR 2024poster
We study contextual stochastic optimization problems. Optimization problems have uncertain parameters stemming from unknown, context-dependent, distributions. Due to the inherent uncertainty in these problems, one is often interested not only in minimizing expected cost, but also to be robust and pr…