2025
Multi-Expert Distributionally Robust Optimization for Out-of-Distribution Generalization
NeurIPS 2025poster
Distribution shifts between training and test data undermine the reliability of deep neural networks, challenging real-world applications across domains and subpopulations. While distributionally robust optimization (DRO) methods like GroupDRO aim to improve robustness by optimizing worst-case perfo…