Reviews: A First-Order Algorithmic Framework for Wasserstein Distributionally Robust Logistic Regression

Neural Information Processing Systems 

The paper proposes to solve the Wasserstein distributionally robust logistic regression problem by using an ADMM-style algorithm. All reviewers and myself find it interesting and can have practical and theoretical impacts.