| Wasserstein distributionally robust optimization: Theory and applications in machine learning D Kuhn, PM Esfahani, VA Nguyen, S Shafieezadeh-Abadeh Operations research & management science in the age of analytics, 130-166, 2019 | 702 | 2019 |
| Distributionally Robust Logistic Regression S Shafieezadeh-Abadeh, PM Esfahani, D Kuhn Advances in Neural Information Processing Systems, 2015 | 448 | 2015 |
| Regularization via mass transportation S Shafieezadeh-Abadeh, D Kuhn, PM Esfahani Journal of Machine Learning Research 20 (103), 1-68, 2019 | 314 | 2019 |
| Data-driven inverse optimization with imperfect information P Mohajerin Esfahani, S Shafieezadeh-Abadeh, GA Hanasusanto, ... Mathematical Programming 167 (1), 191-234, 2018 | 173 | 2018 |
| Wasserstein distributionally robust Kalman filtering S Shafieezadeh Abadeh, VA Nguyen, D Kuhn, PM Mohajerin Esfahani Advances in Neural Information Processing Systems 31, 8474-8483, 2018 | 153 | 2018 |
| Distributionally Robust Optimization D Kuhn, S Shafiee, W Wiesemann Acta Numerica 34, 579-804, 2025 | 101 | 2025 |
| Bridging Bayesian and minimax mean square error estimation via Wasserstein distributionally robust optimization VA Nguyen, S Shafieezadeh-Abadeh, D Kuhn, P Mohajerin Esfahani Mathematics of Operations Research 48 (1), 1-37, 2023 | 83 | 2023 |
| Piecewise linear spine for speed–energy efficiency trade-off in quadruped robots M Khoramshahi, HJ Bidgoly, S Shafiee, A Asaei, AJ Ijspeert, ... Robotics and Autonomous Systems 61 (12), 1350-1359, 2013 | 52 | 2013 |
| Semi-discrete optimal transport: Hardness, regularization and numerical solution B Taşkesen, S Shafieezadeh-Abadeh, D Kuhn Mathematical Programming 199 (1), 1033-1106, 2023 | 45 | 2023 |
| New perspectives on regularization and computation in optimal transport-based distributionally robust optimization S Shafieezadeh-Abadeh, L Aolaritei, F Dörfler, D Kuhn arXiv preprint arXiv:2303.03900, 2023 | 38 | 2023 |
| Optimistic distributionally robust optimization for nonparametric likelihood approximation VA Nguyen, S Shafieezadeh-Abadeh, MC Yue, D Kuhn, W Wiesemann Advances in Neural Information Processing Systems, 15846-15856, 2019 | 38 | 2019 |
| Calculating optimistic likelihoods using (geodesically) convex optimization VA Nguyen, S Shafieezadeh-Abadeh, MC Yue, D Kuhn, W Wiesemann Advances in Neural Information Processing Systems, 13920-13931, 2019 | 30 | 2019 |
| Outlier-robust Wasserstein DRO S Nietert, Z Goldfeld, S Shafiee Advances in Neural Information Processing Systems 36, 62792-62820, 2023 | 29 | 2023 |
| Mean-covariance robust risk measurement VA Nguyen, S Shafiee, D Filipović, D Kuhn arXiv preprint arXiv:2112.09959, 2021 | 29 | 2021 |
| Evolving Takagi–Sugeno model based on online Gustafson-Kessel algorithm and kernel recursive least square method S Shafieezadeh-Abadeh, A Kalhor Evolving Systems 7 (1), 1-14, 2016 | 21 | 2016 |
| Wasserstein distributionally robust estimation in high dimensions: Performance analysis and optimal hyperparameter tuning L Aolaritei, S Shafiee, F Dörfler arXiv preprint arXiv:2206.13269, 2022 | 18* | 2022 |
| Conic mixed-binary sets: Convex hull characterizations and applications F Kılınç-Karzan, S Küçükyavuz, D Lee, S Shafieezadeh-Abadeh Operations Research 73 (1), 251-269, 2025 | 12 | 2025 |
| Constrained optimization of rank-one functions with indicator variables S Shafiee, F Kılınç-Karzan Mathematical Programming 208 (1), 533-579, 2024 | 11 | 2024 |
| Discrete optimal transport with independent marginals is #P-hard B Taşkesen, S Shafieezadeh-Abadeh, D Kuhn, K Natarajan SIAM Journal on Optimization 33 (2), 589-614, 2023 | 8 | 2023 |
| Robust distribution learning with local and global adversarial corruptions S Nietert, Z Goldfeld, S Shafiee The Thirty Seventh Annual Conference on Learning Theory, 4007-4008, 2024 | 7 | 2024 |
Daniel KuhnProfessor of Operations Research, EPFLVerified email at epfl.ch
