Wasserstein Logistic Regression with Mixed Features. - Aras Selvi; Mohammad Reza Belbasi; Martin Haugh; Wolfram Wiesemann (NeurIPS, 2022)

Convex Maximization via Adjustable Robust Optimization. - Aras Selvi; Aharon Ben-Tal; Ruud Brekelmans; Dick den Hertog (INFORMS J. Comput., 2022)

Differential Privacy via Distributionally Robust Optimization. - Aras Selvi; Huikang Liu; Wolfram Wiesemann (CoRR, 2023)

It's All in the Mix: Wasserstein Machine Learning with Mixed Features. - Mohammad Reza Belbasi; Aras Selvi; Wolfram Wiesemann (CoRR, 2023)

A reformulation-linearization technique for optimization over simplices. - Aras Selvi; Dick den Hertog; Wolfram Wiesemann (Math. Program., 2023)

Distributionally and Adversarially Robust Logistic Regression via Intersecting Wasserstein Balls. - Aras Selvi; Eleonora Kreacic; Mohsen Ghassemi; Vamsi K. Potluru; Tucker Balch; Manuela Veloso (UAI, 2025)