2 papers
math.OC2025
It's All in the Mix: Wasserstein Classification and Regression with Mixed Features
Reza Belbasi, Aras Selvi, Wolfram Wiesemann
Problem definition: A key challenge in supervised learning is data scarcity, which can cause prediction models to overfit to the training data and perform poorly out of sample. A c…
math.OC2025
Distributionally and Adversarially Robust Logistic Regression via Intersecting Wasserstein Balls
Aras Selvi, Eleonora Kreacic, Mohsen Ghassemi +3
Adversarially robust optimization (ARO) has emerged as the *de facto* standard for training models that hedge against adversarial attacks in the test stage. While these models are…