| 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 | 702 | 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 | 153 | 2018 |
| Energy and Reserve Dispatch with Distributionally Robust Joint Chance Constraints C Ordoudis, VA Nguyen, D Kuhn, P Pinson Operations Research Letters, 2018 | 105 | 2018 |
| Distributionally Robust Inverse Covariance Estimation: The Wasserstein Shrinkage Estimator VA Nguyen, D Kuhn, P Mohajerin Esfahani Operations Research 70 (1), 490-515, 2022 | 86 | 2022 |
| 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 |
| Statistical Analysis of Wasserstein Distributionally Robust Estimators J Blanchet, K Murthy, VA Nguyen Tutorials in Operations Research: Emerging Optimization Methods and Modeling …, 2021 | 78 | 2021 |
| A Distributionally Robust Approach to Fair Classification B Taskesen, VA Nguyen, D Kuhn, J Blanchet arXiv preprint arXiv:2007.09530, 2020 | 77 | 2020 |
| A Statistical Test for Probabilistic Fairness B Taskesen, J Blanchet, D Kuhn, VA Nguyen ACM Conference on Fairness, Accountability and Transparency (FAccT), 2020 | 53 | 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 | 40 | 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 | 38 | 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 | 38 | 2016 |
| Distributionally Robust Local Non-parametric Conditional Estimation VA Nguyen, F Zhang, J Blanchet, E Delage, Y Ye Advances in Neural Information Processing Systems, 2020 | 36 | 2020 |
| Robustifying Conditional Portfolio Decisions via Optimal Transport VA Nguyen, F Zhang, J Blanchet, E Delage, Y Ye arXiv preprint arXiv:2103.16451, 2021 | 34* | 2021 |
| Counterfactual Plans under Distributional Ambiguity N Bui, D Nguyen, VA Nguyen International Conference on Learning Representations, 2022 | 33 | 2022 |
| Wasserstein robust classification with fairness constraints Y Wang, VA Nguyen, GA Hanasusanto Manufacturing & Service Operations Management 26 (4), 1567-1585, 2024 | 30* | 2024 |
| 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 | 30 | 2021 |
| 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 | 30 | 2019 |
| Robust Bayesian Recourse TDH Nguyen, N Bui, D Nguyen, MC Yue, VA Nguyen Uncertainty in Artificial Intelligence, 1498-1508, 2022 | 29 | 2022 |
| Mean-covariance robust risk measurement VA Nguyen, S Shafiee, D Filipović, D Kuhn arXiv preprint arXiv:2112.09959, 2021 | 29 | 2021 |
| Sobolev Transport: A Scalable Metric for Probability Measures with Graph Metrics T Le, T Nguyen, D Phung, VA Nguyen International Conference on Artificial Intelligence and Statistics, 2022 | 27 | 2022 |
Daniel KuhnProfessor of Operations Research, EPFLVerified email at epfl.ch
