Optimal Ethical Decision-Making
- Differential privacy via distributionally robust optimization
AS, Huikang Liu and Wolfram Wiesemann
Operations Research (2025)
[preprint]
☆ Second Place: 2024 George Nicholson Student Paper Competition☆ Winner: 2023 ICBS Operations and Analytics Best PhD Paper Award☆ Honorable Mention: 2023 INFORMS Optimization Society Student Paper Prize -
Room for improvement: Optimal and fair housing allocation via weakly coupled Markov decision processes
AS, Bill Tang, Cagil Kocyigit, Phebe Vayanos, and Wolfram Wiesemann
Working Paper (2024)
Robust Machine Learning
-
It's all in the mix: Wasserstein machine learning with mixed features
Reza Belbasi, AS and Wolfram Wiesemann
Major Revision at Manufacturing & Service Operations Management (2023)
[preprint] -
Distributionally and adversarially robust logistic regression via intersecting Wasserstein balls
AS, Eleonora Kreacic, Mohsen Ghassemi, Vamsi Potluru, Tucker Balch and Manuela Veloso
Under Review (2024); Appeared in INFORMS Workshop on Data Science 2024
[preprint]☆ Finalist: 2024 INFORMS Data Mining Society Best Student Paper Competition -
Wasserstein logistic regression with mixed features
AS, Reza Belbasi, Martin Haugh and Wolfram Wiesemann
NeurIPS (2022)
[preprint] [conference page]
Nonconvex Optimization
-
Maximizing the sum of maxima of convex functions
AS, Aharon Ben-Tal, and Wolfram Wiesemann
In preparation for submission (2024) -
Convex maximization via adjustable robust optimization
AS, Aharon Ben-Tal, Ruud Brekelmans and Dick den Hertog
INFORMS Journal on Computing (2022)
[preprint] [INFORMS]
☆ Winner: 2021 INFORMS Computing Society Student Paper Award -
A reformulation-linearization technique for optimization over simplices
AS, Dick den Hertog and Wolfram Wiesemann
Mathematical Programming [Short Communication] (2023)
[preprint] [Springer Link] -
Using column generation to solve extensions to the Markowitz model
Lorenz M. Roebers, AS and Juan Vera
The Engineering Economist [Technical Note] (2019)
[preprint] [Tandfonline]