| 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 | 483 | 2019 |
| Distributionally Robust Logistic Regression S Shafieezadeh-Abadeh, PM Esfahani, D Kuhn Advances in Neural Information Processing Systems, 2015 | 358 | 2015 |
| Regularization via mass transportation S Shafieezadeh-Abadeh, D Kuhn, PM Esfahani Journal of Machine Learning Research 20 (103), 1-68, 2019 | 239 | 2019 |
| Data-driven inverse optimization with imperfect information P Mohajerin Esfahani, S Shafieezadeh-Abadeh, GA Hanasusanto, ... Mathematical Programming 167, 191-234, 2018 | 137 | 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 | 112 | 2018 |
| 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 | 52 | 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 | 49 | 2013 |
| 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 | 33 | 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 | 24 | 2019 |
| Semi-discrete optimal transport: Hardness, regularization and numerical solution B Taşkesen, S Shafieezadeh-Abadeh, D Kuhn Mathematical Programming 199 (1), 1033-1106, 2023 | 22 | 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 | 20 | 2023 |
| Evolving Takagi–Sugeno model based on online Gustafson-Kessel algorithm and kernel recursive least square method S Shafieezadeh-Abadeh, A Kalhor Evolving Systems 7, 1-14, 2016 | 20 | 2016 |
| Mean-covariance robust risk measurement VA Nguyen, S Shafiee, D Filipović, D Kuhn arXiv preprint arXiv:2112.09959, 2021 | 16 | 2021 |
| Conic mixed-binary sets: Convex hull characterizations and applications F Kılınç-Karzan, S Küçükyavuz, D Lee, S Shafieezadeh-Abadeh Operations Research, 2023 | 9 | 2023 |
| The performance of Wasserstein distributionally robust M-estimators in high dimensions L Aolaritei, S Shafieezadeh-Abadeh, F Dörfler arXiv preprint arXiv:2206.13269, 2022 | 9* | 2022 |
| Outlier-robust wasserstein dro S Nietert, Z Goldfeld, S Shafiee Advances in Neural Information Processing Systems 36, 2024 | 5 | 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 | 3 | 2023 |
| Constrained optimization of rank-one functions with indicator variables S Shafiee, F Kılınç-Karzan Mathematical Programming, 1-47, 2024 | 2 | 2024 |
| Wasserstein distributionally robust learning S Shafieezadeh Abadeh EPFL, 2020 | 2 | 2020 |
| Robust Distribution Learning with Local and Global Adversarial Corruptions S Nietert, Z Goldfeld, S Shafiee arXiv preprint arXiv:2406.06509, 2024 | | 2024 |
Daniel KuhnProfessor of Operations ResearchVerified email at epfl.ch
