Aligning Distributionally Robust Optimization with Practical Deep Learning Needs

Dmitrii Feoktistov, Igor Ignashin, Andrey Veprikov +4

While traditional Deep Learning (DL) optimization methods treat all training samples equally, Distributionally Robust Optimization (DRO) adaptively assigns importance weights to di…