2023
Distributionally Robust Multiclass Classification and Applications in Deep Image Classifiers
ICASSP 2023accepted
We develop a Distributionally Robust Optimization (DRO) formulation for Multiclass Logistic Regression (MLR), which could tolerate data contaminated by outliers. The DRO framework uses a probabilistic ambiguity set defined as a ball of distributions that are close to the empirical distribution of th…