Kaiser Asif

Consistent Robust Adversarial Prediction for General Multiclass Classification

2018 · arXiv (Cornell University)

We propose a robust adversarial prediction framework for general multiclass classification. Our method seeks predictive distributions that robustly optimize non-convex and non-continuous multiclass loss metrics against the worst-case conditional label distributions (the adversarial distributions) that …