Viet Anh Nguyen
Viet Anh Nguyen
Postdoctoral Scholar, Stanford University
Verified email at stanford.edu - Homepage
Title
Cited by
Cited by
Year
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
1102019
Wasserstein Distributionally Robust Kalman Filtering
S Shafieezadeh-Abadeh, VA Nguyen, D Kuhn, P Mohajerin Esfahani
Advances in Neural Information Processing Systems, 8483-8492, 2018
352018
Distributionally Robust Inverse Covariance Estimation: The Wasserstein Shrinkage Estimator
VA Nguyen, D Kuhn, P Mohajerin Esfahani
Operations Research (forthcoming), 2018
312018
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
222016
Energy and Reserve Dispatch with Distributionally Robust Joint Chance Constraints
C Ordoudis, VA Nguyen, D Kuhn, P Pinson
Operations Research Letters, 2018
172018
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
132019
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
132016
A Distributionally Robust Approach to Fair Classification
B Taskesen, VA Nguyen, D Kuhn, J Blanchet
arXiv preprint arXiv:2007.09530, 2020
122020
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
112019
Distributionally Robust Local Non-parametric Conditional Estimation
VA Nguyen, F Zhang, J Blanchet, E Delage, Y Ye
Advances in Neural Information Processing Systems, 2020
92020
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
72019
A Statistical Test for Probabilistic Fairness
B Taskesen, J Blanchet, D Kuhn, VA Nguyen
ACM Conference on Fairness, Accountability and Transparency (FAccT), 2020
52020
Distributionally Robust Parametric Maximum Likelihood Estimation
VA Nguyen, X Zhang, J Blanchet, A Georghiou
Advances in Neural Information Processing Systems, 2020
42020
A Linear-Quadratic Gaussian Approach to Dynamic Information Acquisition
TA Weber, VA Nguyen
European Journal of Operational Research 270 (1), 260-281, 2018
32018
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
22020
Robust Bayesian Classification Using an Optimistic Score Ratio
VA Nguyen, N Si, J Blanchet
Proceedings of the International Conference on Machine Learning, 2020
22020
Testing Group Fairness via Optimal Transport Projections
N Si, K Murthy, J Blanchet, VA Nguyen
Proceedings of the International Conference on Machine Learning, 2021
12021
Time-Series Imputation with Wasserstein Interpolation for Optimal Look-Ahead-Bias and Variance Tradeoff
J Blanchet, F Hernandez, VA Nguyen, M Pelger, X Zhang
arXiv preprint arXiv:2102.12736, 2021
12021
Adversarial Regression with Doubly Non-negative Weighting Matrices
T Le, T Nguyen, M Yamada, J Blanchet, VA Nguyen
Advances in Neural Information Processing Systems, 2021
2021
Statistical Analysis of Wasserstein Distributionally Robust Estimators
J Blanchet, K Murthy, VA Nguyen
arXiv preprint arXiv:2108.02120, 2021
2021
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