Viet Anh Nguyen

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Daniel KuhnProfessor of Operations ResearchVerified email at epfl.ch
Jose BlanchetStanford UniversityVerified email at stanford.edu
Soroosh Shafieezadeh-AbadehAssistant Professor, Cornell UniversityVerified email at cornell.edu
Peyman Mohajerin EsfahaniVerified email at tudelft.nl
Man-Chung YueAssistant Professor, The University of Hong KongVerified email at hku.hk
Bahar TaşkesenPhD Student, EPFL EDMTVerified email at epfl.ch
Xuhui ZhangStanford UniversityVerified email at stanford.edu
Duy NguyenVinAI ResearchVerified email at vinai.io
Kwong Meng Teo 张广铭HUAWEI 2012 Research LabVerified email at alum.mit.edu
Wolfram WiesemannProfessor of Analytics and Operations, Imperial College Business SchoolVerified email at imperial.ac.uk
Karthyek MurthySingapore University of Technology and DesignVerified email at sutd.edu.sg
Nian SiUniversity of Chicago Booth School of BusinessVerified email at chicagobooth.edu
Yinyu YeK.T. Li Professor of Engineering, Stanford UniversityVerified email at stanford.edu
Erick DelageProfessor, Department of Decision Sciences, HEC MontréalVerified email at hec.ca
Fan ZhangManagement Science and Engineering, Stanford UniversityVerified email at stanford.edu
Tam LeAssistant Professor, The Institute of Statistical MathematicsVerified email at ism.ac.jp
Truyen NguyenUniversity of AkronVerified email at uakron.edu
Pierre PinsonProfessor, Imperial College London, Dyson School of Design EngineeringVerified email at imperial.ac.uk
Christos OrdoudisTechnical University of DenmarkVerified email at dtu.dk
Angelos GeorghiouAssistant Professor of Operations Management, Department of Business and Public AdministrationVerified email at ucy.ac.cy

Viet Anh Nguyen

The Chinese University of Hong Kong

Verified email at cuhk.edu.hk - Homepage

Machine Learning Optimization Decision Analytics Operations Research


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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	329	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	80	2018
Distributionally Robust Inverse Covariance Estimation: The Wasserstein Shrinkage Estimator VA Nguyen, D Kuhn, P Mohajerin Esfahani Operations Research 70 (1), 490-515, 2022	51	2022
Energy and Reserve Dispatch with Distributionally Robust Joint Chance Constraints C Ordoudis, VA Nguyen, D Kuhn, P Pinson Operations Research Letters, 2018	44	2018
A Distributionally Robust Approach to Fair Classification B Taskesen, VA Nguyen, D Kuhn, J Blanchet arXiv preprint arXiv:2007.09530, 2020	40	2020
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	34	2023
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	30	2016
Statistical Analysis of Wasserstein Distributionally Robust Estimators J Blanchet, K Murthy, VA Nguyen Tutorials in Operations Research: Emerging Optimization Methods and Modeling …, 2021	24	2021
A Statistical Test for Probabilistic Fairness B Taskesen, J Blanchet, D Kuhn, VA Nguyen ACM Conference on Fairness, Accountability and Transparency (FAccT), 2020	24	2020
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	21	2019
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
Distributionally Robust Local Non-parametric Conditional Estimation VA Nguyen, F Zhang, J Blanchet, E Delage, Y Ye Advances in Neural Information Processing Systems, 2020	17	2020
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	16	2019
Testing Group Fairness via Optimal Transport Projections N Si, K Murthy, J Blanchet, VA Nguyen Proceedings of the International Conference on Machine Learning, 2021	13	2021
Counterfactual Plans under Distributional Ambiguity N Bui, D Nguyen, VA Nguyen International Conference on Learning Representations, 2022	12	2022
Robust Bayesian Classification Using an Optimistic Score Ratio VA Nguyen, N Si, J Blanchet Proceedings of the International Conference on Machine Learning, 2020	12	2020
Distributionally Robust Parametric Maximum Likelihood Estimation VA Nguyen, X Zhang, J Blanchet, A Georghiou Advances in Neural Information Processing Systems, 2020	11	2020
Mean-Covariance Robust Risk Measurement VA Nguyen, SS Abadeh, D Filipović, D Kuhn arXiv preprint arXiv:2112.09959, 2021	10	2021
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	10	2021
Machine Learning's Dropout Training is Distributionally Robust Optimal J Blanchet, Y Kang, JL Montiel Olea, VA Nguyen, X Zhang arXiv preprint arXiv:2009.06111, 2020	9	2020

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