arXiv stat.ML
· Papers
Distributionally Robust Optimization via Iterative Algorithms in Continuous Probability Spaces
arXiv:2412.20556v2 Announce Type: replace Abstract: We study distributionally robust optimization (DRO) for robust inference when the worst-case distribution is continuous, leading to significant computational challenges due to the infinite-dimensional nature of the optimization problem. Unlike traditional discrete DRO