2026
Gradient Flow Sampler-based Distributionally Robust Optimization
ICML 2026poster
We propose a mathematically principled PDE gradient flow framework for distributionally robust optimization (DRO). Exploiting the recent advances in the intersection of Monte Carlo sampling and statistical optimal transport, we show that our theoretical framework can be implemented as practical algo…