Completed and Ongoing Research

Preprints Under Review

7. newDistributionally robust adversarial logistic regression with synthetic data
   AS, Eleonora Kreacic, Mohsen Ghassemi, Vamsi Potluru, Tucker Balch and Manuela Veloso
   Under Review (2024)
   

8. newIt's all in the mix: Wasserstein machine learning with mixed features
   Reza Belbasi, AS and Wolfram Wiesemann
   Under Major Revision (2023)
   [OO] [arXiv]
   

9. Differential privacy via distributionally robust optimization
   AS, Huikang Liu and Wolfram Wiesemann
   Under Major Revision (2023)
   [OO] [arXiv]
   Winner: 2023 ICBS Operations and Analytics Best PhD Paper Award
Honorable Mention: 2023 INFORMS Optimization Society Student Paper Prize

Publications

4. Wasserstein logistic regression with mixed features
   AS, Reza Belbasi, Martin Haugh and Wolfram Wiesemann
   NeurIPS 2022
   [OO] [arXiv] [conference page]

5. Convex maximization via adjustable robust optimization
   AS, Aharon Ben-Tal, Ruud Brekelmans and Dick den Hertog
   INFORMS Journal on Computing 34(4):2091-2105 (2022)
   [OO] [INFORMS]
   Winner: 2021 INFORMS Computing Society Student Paper Award

6. A reformulation-linearization technique for optimization over simplices
   AS, Dick den Hertog and Wolfram Wiesemann
   Mathematical Programming 197(1):427-444 (2023)
   [OO] [Springer Link]

7. Using column generation to solve extensions to the Markowitz model
   Lorenz M. Roebers, AS and Juan Vera Lizcano
   The Engineering Economist 64(3):275-288 (2019)
   [arXiv] [Tandfonline]