| Convex maximization via adjustable robust optimization A Selvi, A Ben-Tal, R Brekelmans, D den Hertog INFORMS Journal on Computing 34 (4), 2091-2105, 2022 | 26 | 2022 |
| Wasserstein logistic regression with mixed features A Selvi, MR Belbasi, M Haugh, W Wiesemann Advances in Neural Information Processing Systems 35, 16691-16704, 2022 | 18 | 2022 |
| It’s All in the Mix: Wasserstein Classification and Regression with Mixed Features R Belbasi, A Selvi, W Wiesemann arXiv preprint arXiv:2312.12230, 2025 | 10* | 2025 |
| Differential privacy via distributionally robust optimization A Selvi, H Liu, W Wiesemann Operations Research, 2025 | 8 | 2025 |
| A reformulation-linearization technique for optimization over simplices A Selvi, D den Hertog, W Wiesemann Mathematical Programming 197 (1), 427-447, 2023 | 7 | 2023 |
| Distributionally and adversarially robust logistic regression via intersecting Wasserstein balls A Selvi, E Kreacic, M Ghassemi, V Potluru, T Balch, M Veloso Uncertainty in Artificial Intelligence (Oral), 2024 | 2 | 2024 |
| Using column generation to solve extensions to the Markowitz model LM Roebers, A Selvi, JC Vera The Engineering Economist 64 (3), 275-288, 2019 | 1 | 2019 |
| Models and Algorithms for Safeguarded Data-Driven Decision Making A Selvi Imperial College London, 2025 | | 2025 |
| Method and system for utilizing synthetic data in robust adversarial training E KREACIC, A SELVI, M Ghassemi, VK POTLURU, TR BALCH, M Veloso US Patent App. 18/391,142, 2025 | | 2025 |
Wolfram WiesemannProfessor of Analytics and Operations, Imperial College Business SchoolVerified email at imperial.ac.uk
