| Wasserstein Distributionally Robust Optimization: Theory and Applications in Machine Learning D Kuhn, P Mohajerin Esfahani, VA Nguyen, S Shafieezadeh-Abadeh Operations Research & Management Science in the Age of Analytics, 130-166, 2019 | 272 | 2019 |
| Wasserstein Distributionally Robust Kalman Filtering S Shafieezadeh-Abadeh, VA Nguyen, D Kuhn, P Mohajerin Esfahani Advances in Neural Information Processing Systems, 8483-8492, 2018 | 69 | 2018 |
| Distributionally Robust Inverse Covariance Estimation: The Wasserstein Shrinkage Estimator VA Nguyen, D Kuhn, P Mohajerin Esfahani Operations Research 70 (1), 2018 | 44* | 2018 |
| A Distributionally Robust Approach to Fair Classification B Taskesen, VA Nguyen, D Kuhn, J Blanchet arXiv preprint arXiv:2007.09530, 2020 | 36 | 2020 |
| Energy and Reserve Dispatch with Distributionally Robust Joint Chance Constraints C Ordoudis, VA Nguyen, D Kuhn, P Pinson Operations Research Letters, 2018 | 36 | 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, 2019 | 27 | 2019 |
| Satisficing Measure Approach for Vehicle Routing Problem with Time Windows under Uncertainty VA Nguyen, J Jiang, KM Ng, KM Teo European Journal of Operational Research 248 (2), 404-414, 2016 | 26 | 2016 |
| Commuter Cycling Policy in Singapore: A Farecard Data Analytics Based Approach A Kumar, VA Nguyen, KM Teo Annals of Operations Research 236 (1), 57-73, 2016 | 19 | 2016 |
| A Statistical Test for Probabilistic Fairness B Taskesen, J Blanchet, D Kuhn, VA Nguyen ACM Conference on Fairness, Accountability and Transparency (FAccT), 2020 | 18 | 2020 |
| Statistical Analysis of Wasserstein Distributionally Robust Estimators J Blanchet, K Murthy, VA Nguyen Tutorials in Operations Research: Emerging Optimization Methods and Modeling …, 2021 | 17 | 2021 |
| 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 32, 15872--15882, 2019 | 17 | 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 32, 13920-13931, 2019 | 14 | 2019 |
| Distributionally Robust Local Non-parametric Conditional Estimation VA Nguyen, F Zhang, J Blanchet, E Delage, Y Ye Advances in Neural Information Processing Systems, 2020 | 13 | 2020 |
| Robust Bayesian Classification Using an Optimistic Score Ratio VA Nguyen, N Si, J Blanchet Proceedings of the International Conference on Machine Learning, 2020 | 11 | 2020 |
| Sequential Domain Adaptation by Synthesizing Distributionally Robust Experts B Taskesen, MC Yue, J Blanchet, D Kuhn, VA Nguyen Proceedings of the International Conference on Machine Learning, 2021 | 9 | 2021 |
| Mean-Covariance Robust Risk Measurement VA Nguyen, SS Abadeh, D Filipović, D Kuhn arXiv preprint arXiv:2112.09959, 2021 | 8 | 2021 |
| Distributionally Robust Parametric Maximum Likelihood Estimation VA Nguyen, X Zhang, J Blanchet, A Georghiou Advances in Neural Information Processing Systems, 2020 | 8 | 2020 |
| Testing Group Fairness via Optimal Transport Projections N Si, K Murthy, J Blanchet, VA Nguyen Proceedings of the International Conference on Machine Learning, 2021 | 7 | 2021 |
| Counterfactual Plans under Distributional Ambiguity N Bui, D Nguyen, VA Nguyen International Conference on Learning Representations, 2022 | 6 | 2022 |
| Wasserstein Robust Support Vector Machines with Fairness Constraints Y Wang, VA Nguyen, GA Hanasusanto arXiv preprint arXiv:2103.06828, 2021 | 6 | 2021 |
Daniel KuhnProfessor of Operations ResearchVerified email at epfl.ch
