Viet Anh Nguyen

ORCID

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 95

Top Venues

University of Rennes 1, France (PHD)

Education History

University of Rennes 1, France

PHD

Publications

Man-Chung Yue, Yves Rychener, Daniel Kuhn, Viet Anh Nguyen
A Geometric Unification of Distributionally Robust Covariance Estimators: Shrinking the Spectrum by Inflating the Ambiguity Set. CoRR (2024)
Bao Nguyen, Binh Nguyen, Viet Anh Nguyen
Bellman Optimal Stepsize Straightening of Flow-Matching Models. ICLR (2024)
Hoa-Huy Nguyen, Kien Do Trung, Loc Nguyen Duc, Long Dang Hoang, Phong Tran Ba, Viet Anh Nguyen
A model to create a personalized online course based on the student's learning styles. Educ. Inf. Technol. 29 (1) (2024)
Hieu Trung Nguyen, Duy Nguyen, Khoa Doan, Viet Anh Nguyen
Cold-start Recommendation by Personalized Embedding Region Elicitation. CoRR (2024)
Nghia D. Nguyen, Hieu Trung Nguyen, Ang Li, Hoang Pham, Viet Anh Nguyen, Khoa D. Doan
Forget but Recall: Incremental Latent Rectification in Continual Learning. CoRR (2024)
Yijie Wang, Viet Anh Nguyen, Grani A. Hanasusanto
Wasserstein Robust Classification with Fairness Constraints. Manuf. Serv. Oper. Manag. 26 (4) (2024)
Ngoc Bui, Hieu Trung Nguyen, Viet Anh Nguyen, Rex Ying
Explaining Graph Neural Networks via Structure-aware Interaction Index. CoRR (2024)
Bao Nguyen, Binh Nguyen, Hieu Trung Nguyen, Viet Anh Nguyen
Generative Conditional Distributions by Neural (Entropic) Optimal Transport. CoRR (2024)
Duy Nguyen, Bao Nguyen, Viet Anh Nguyen
Cost-Adaptive Recourse Recommendation by Adaptive Preference Elicitation. CoRR (2024)
Bao Nguyen, Binh Nguyen, Viet Anh Nguyen
Bellman Optimal Step-size Straightening of Flow-Matching Models. CoRR (2023)
Duy Nguyen, Ngoc Bui, Viet Anh Nguyen
Feasible Recourse Plan via Diverse Interpolation. AISTATS (2023)
Khang Nguyen, T. Nga Mai, H. An Nguyen, Viet Anh Nguyen
A Computational Model for Predicting Customer Behaviors Using Transformer Adapted with Tabular Features. Int. J. Comput. Intell. Syst. 16 (1) (2023)
Quang Toan Dao, Hoang Quan Trinh, Viet Anh Nguyen
An effective and comprehensible method to detect and evaluate retinal damage due to diabetes complications. PeerJ Comput. Sci. 9 (2023)
Viet Anh Nguyen, Soroosh Shafieezadeh-Abadeh, Daniel Kuhn, Peyman Mohajerin Esfahani
Bridging Bayesian and Minimax Mean Square Error Estimation via Wasserstein Distributionally Robust Optimization. Math. Oper. Res. 48 (1) (2023)
Hoang Dang Nguyen, Dinh Nguyen Vu, Viet Anh Nguyen, Tien Dong Nguyen, Phi Le Nguyen
A Robust Document Localization Solution with Segmentation and Clustering. IEA/AIE (1) (2023)
Duy Nguyen, Ngoc Bui, Viet Anh Nguyen
Distributionally Robust Recourse Action. CoRR (2023)
Bao Nguyen, Viet Anh Nguyen
Efficient Failure Pattern Identification of Predictive Algorithms. CoRR (2023)
Viet Anh Nguyen
Examining Students' Learning Styles Impacted on Learning Outcome in the MOOC Course: A Case Study. ICFET (2023)
Xinru Hua, Truyen Nguyen, Tam Le, Jose H. Blanchet, Viet Anh Nguyen
Dynamic Flows on Curved Space Generated by Labeled Data. CoRR (2023)
Duy Nguyen, Ngoc Bui, Viet Anh Nguyen
Distributionally Robust Recourse Action. ICLR (2023)
Bao Nguyen, Viet Anh Nguyen
Efficient Failure Pattern Identification of Predictive Algorithms. UAI (2023)
Jose H. Blanchet, Yang Kang, José Luis Montiel Olea, Viet Anh Nguyen, Xuhui Zhang
Dropout Training is Distributionally Robust Optimal. J. Mach. Learn. Res. 24 (2023)
Duy Nguyen, Ngoc Bui, Viet Anh Nguyen
Feasible Recourse Plan via Diverse Interpolation. CoRR (2023)
Ngoc Bui, Duy Nguyen, Man-Chung Yue, Viet Anh Nguyen
Coverage-Validity-Aware Algorithmic Recourse. CoRR (2023)
Xinru Hua, Truyen Nguyen, Tam Le, Jose H. Blanchet, Viet Anh Nguyen
Dynamic Flows on Curved Space Generated by Labeled Data. IJCAI (2023)
Jiajin Li, Sirui Lin, Jose H. Blanchet, Viet Anh Nguyen
Tikhonov Regularization is Optimal Transport Robust under Martingale Constraints. NeurIPS (2022)
Jiajin Li, Sirui Lin, Jose H. Blanchet, Viet Anh Nguyen
Tikhonov Regularization is Optimal Transport Robust under Martingale Constraints. CoRR (2022)
Xinru Hua, Huanzhong Xu, Jose H. Blanchet, Viet Anh Nguyen
Human Imperceptible Attacks and Applications to Improve Fairness. WSC (2022)
Viet Anh Nguyen
A model to detect student's learning styles in the blended learning course. ICFET (2022)
Tuan-Duy H. Nguyen, Ngoc Bui, Duy Nguyen, Man-Chung Yue, Viet Anh Nguyen
Robust Bayesian Recourse. CoRR (2022)
Ngoc Bui, Duy Nguyen, Viet Anh Nguyen
Counterfactual Plans under Distributional Ambiguity. ICLR (2022)
Hieu Vu, Toan Tran, Man-Chung Yue, Viet Anh Nguyen
Distributionally Robust Fair Principal Components via Geodesic Descents. ICLR (2022)
Ngoc Bui, Duy Nguyen, Viet Anh Nguyen
Counterfactual Plans under Distributional Ambiguity. CoRR (2022)
Tam Le, Truyen Nguyen, Dinh Phung, Viet Anh Nguyen
Sobolev Transport: A Scalable Metric for Probability Measures with Graph Metrics. AISTATS (2022)
Tam Le, Truyen Nguyen, Dinh Q. Phung, Viet Anh Nguyen
Sobolev Transport: A Scalable Metric for Probability Measures with Graph Metrics. CoRR (2022)
Tuan-Duy H. Nguyen, Ngoc Bui, Duy Nguyen, Man-Chung Yue, Viet Anh Nguyen
Robust Bayesian recourse. UAI (2022)
Hoa-Huy Nguyen, Duc-Loc Nguyen, Kien Do Trung, Long Dang Hoang, Thi Vu, Tuan Van Vu, Viet Anh Nguyen
Applying machine learning techniques to detect student's learning styles. ICETC (2022)
Hieu Vu, Toan Tran, Man-Chung Yue, Viet Anh Nguyen
Distributionally Robust Fair Principal Components via Geodesic Descents. CoRR (2022)
Viet Anh Nguyen, Daniel Kuhn, Peyman Mohajerin Esfahani
Distributionally Robust Inverse Covariance Estimation: The Wasserstein Shrinkage Estimator. Oper. Res. 70 (1) (2022)
Ngoc Bui, Phi Le Nguyen, Viet Anh Nguyen, Phan-Thuan Do
A Deep Reinforcement Learning-based Adaptive Charging Policy for Wireless Rechargeable Sensor Networks. CoRR (2022)
Nian Si, Karthyek Murthy, Jose H. Blanchet, Viet Anh Nguyen
Testing Group Fairness via Optimal Transport Projections. CoRR (2021)
Robbie Vreugdenhil, Viet Anh Nguyen, Armin Eftekhari, Peyman Mohajerin Esfahani
Principal Component Hierarchy for Sparse Quadratic Programs. CoRR (2021)
Tam Le, Truyen Nguyen, Makoto Yamada, Jose H. Blanchet, Viet Anh Nguyen
Adversarial Regression with Doubly Non-negative Weighting Matrices. CoRR (2021)
Bahar Taskesen, Man-Chung Yue, Jose H. Blanchet, Daniel Kuhn, Viet Anh Nguyen
Sequential Domain Adaptation by Synthesizing Distributionally Robust Experts. CoRR (2021)
Jose H. Blanchet, Fernando Hernandez, Viet Anh Nguyen, Markus Pelger, Xuhui Zhang
Time-Series Imputation with Wasserstein Interpolation for Optimal Look-Ahead-Bias and Variance Tradeoff. CoRR (2021)
Christos Ordoudis, Viet Anh Nguyen, Daniel Kuhn, Pierre Pinson
Energy and reserve dispatch with distributionally robust joint chance constraints. Oper. Res. Lett. 49 (3) (2021)
Viet Anh Nguyen, Tam Minh Nguyen, Huy Dao Quang, Quang Pham Huu
S-NLP at SemEval-2021 Task 5: An Analysis of Dual Networks for Sequence Tagging. SemEval@ACL/IJCNLP (2021)
Tam Le, Truyen Nguyen, Makoto Yamada, Jose H. Blanchet, Viet Anh Nguyen
Adversarial Regression with Doubly Non-negative Weighting Matrices. NeurIPS (2021)
Quang Pham Huu, Viet Anh Nguyen, Linh Doan Bao, Ngoc N. Tran, Ta Minh Thanh
From Universal Language Model to Downstream Task: Improving RoBERTa-Based Vietnamese Hate Speech Detection. CoRR (2021)
Bahar Taskesen, Man-Chung Yue, Jose H. Blanchet, Daniel Kuhn, Viet Anh Nguyen
Sequential Domain Adaptation by Synthesizing Distributionally Robust Experts. ICML (2021)
Viet Anh Nguyen, Hoa-Huy Nguyen, Duc-Loc Nguyen, Minh-Duc Le
A course recommendation model for students based on learning outcome. Educ. Inf. Technol. 26 (5) (2021)
Tam Minh Nguyen, Quang Pham Huu, Linh Doan Bao, Hoang Viet Trinh, Viet Anh Nguyen, Viet-Hoang Phan
Contrastive Learning for Natural Language-Based Vehicle Retrieval. CVPR Workshops (2021)
Nian Si, Karthyek Murthy, Jose H. Blanchet, Viet Anh Nguyen
Testing Group Fairness via Optimal Transport Projections. ICML (2021)
Robbie Vreugdenhil, Viet Anh Nguyen, Armin Eftekhari, Peyman Mohajerin Esfahani
Principal Component Hierarchy for Sparse Quadratic Programs. ICML (2021)
Jose H. Blanchet, Karthyek Murthy, Viet Anh Nguyen
Statistical Analysis of Wasserstein Distributionally Robust Estimators. CoRR (2021)
Yijie Wang, Viet Anh Nguyen, Grani A. Hanasusanto
Wasserstein Robust Support Vector Machines with Fairness Constraints. CoRR (2021)
Bahar Taskesen, Jose H. Blanchet, Daniel Kuhn, Viet Anh Nguyen
A Statistical Test for Probabilistic Fairness. FAccT (2021)
Viet Anh Nguyen, Fan Zhang, José H. Blanchet, Erick Delage, Yinyu Ye
Distributionally Robust Local Non-parametric Conditional Estimation. CoRR (2020)
Quang Pham Huu, Viet Anh Nguyen, Linh Doan Bao, Ngoc N. Tran, Ta Minh Thanh
From Universal Language Model to Downstream Task: Improving RoBERTa-Based Vietnamese Hate Speech Detection. KSE (2020)
Bahar Taskesen, Jose H. Blanchet, Daniel Kuhn, Viet Anh Nguyen
A Statistical Test for Probabilistic Fairness. CoRR (2020)
Viet Anh Nguyen, Nian Si, Jose H. Blanchet
Robust Bayesian Classification Using An Optimistic Score Ratio. ICML (2020)
Jose H. Blanchet, Yang Kang, Jose Luis Montiel Olea, Viet Anh Nguyen, Xuhui Zhang
Machine Learning's Dropout Training is Distributionally Robust Optimal. CoRR (2020)
Viet Anh Nguyen, Xuhui Zhang, José H. Blanchet, Angelos Georghiou
Distributionally Robust Parametric Maximum Likelihood Estimation. CoRR (2020)
Linh Doan Bao, Viet Anh Nguyen, Quang Pham Huu
SunBear at WNUT-2020 Task 2: Improving BERT-Based Noisy Text Classification with Knowledge of the Data domain. W-NUT@EMNLP (2020)
Bahar Taskesen, Viet Anh Nguyen, Daniel Kuhn, Jose H. Blanchet
A Distributionally Robust Approach to Fair Classification. CoRR (2020)
Viet Anh Nguyen, Nian Si, Jose H. Blanchet
Robust Bayesian Classification Using an Optimistic Score Ratio. CoRR (2020)
Viet Anh Nguyen, Hoai An Le Thi, Hoai Minh Le
A DCA Based Algorithm for Feature Selection in Model-Based Clustering. ACIIDS (1) (2020)
Viet Anh Nguyen, Xuhui Zhang, José H. Blanchet, Angelos Georghiou
Distributionally Robust Parametric Maximum Likelihood Estimation. NeurIPS (2020)
Minh-Duc Le, Hoa-Huy Nguyen, Duc-Loc Nguyen, Viet Anh Nguyen
How to Forecast the Students' Learning Outcomes Based on Factors of Interactive Activities in a Blended Learning Course. ICFET (2020)
Viet Anh Nguyen, Fan Zhang, José H. Blanchet, Erick Delage, Yinyu Ye
Distributionally Robust Local Non-parametric Conditional Estimation. NeurIPS (2020)
Viet Anh Nguyen, Damien Hardy, Isabelle Puaut
Cache-conscious off-line real-time scheduling for multi-core platforms: algorithms and implementation. Real Time Syst. 55 (4) (2019)
Tu-Anh Nguyen-Hoang, Ha Nguyen Thi Thu, Viet Anh Nguyen
Mining aspects of customer's review on the social network. J. Big Data 6 (2019)
Daniel Kuhn, Peyman Mohajerin Esfahani, Viet Anh Nguyen, Soroosh Shafieezadeh-Abadeh
Wasserstein Distributionally Robust Optimization: Theory and Applications in Machine Learning. CoRR (2019)
Viet Anh Nguyen, Soroosh Shafieezadeh-Abadeh, Man-Chung Yue, Daniel Kuhn, Wolfram Wiesemann
Optimistic Distributionally Robust Optimization for Nonparametric Likelihood Approximation. CoRR (2019)
Viet Anh Nguyen, Soroosh Shafieezadeh-Abadeh, Man-Chung Yue, Daniel Kuhn, Wolfram Wiesemann
Optimistic Distributionally Robust Optimization for Nonparametric Likelihood Approximation. NeurIPS (2019)
Viet Anh Nguyen, Soroosh Shafieezadeh-Abadeh, Man-Chung Yue, Daniel Kuhn, Wolfram Wiesemann
Calculating Optimistic Likelihoods Using (Geodesically) Convex Optimization. CoRR (2019)
Viet Anh Nguyen, Soroosh Shafieezadeh-Abadeh, Daniel Kuhn, Peyman Mohajerin Esfahani
Bridging Bayesian and Minimax Mean Square Error Estimation via Wasserstein Distributionally Robust Optimization. CoRR (2019)
Viet Anh Nguyen, Hoai An Le Thi
Online DCA for Times Series Forecasting Using Artificial Neural Network. WCGO (2019)
Viet Anh Nguyen, Soroosh Shafieezadeh-Abadeh, Man-Chung Yue, Daniel Kuhn, Wolfram Wiesemann
Calculating Optimistic Likelihoods Using (Geodesically) Convex Optimization. NeurIPS (2019)
Soroosh Shafieezadeh-Abadeh, Viet Anh Nguyen, Daniel Kuhn, Peyman Mohajerin Esfahani
Wasserstein Distributionally Robust Kalman Filtering. NeurIPS (2018)
Thomas A. Weber, Viet Anh Nguyen
A linear-quadratic Gaussian approach to dynamic information acquisition. Eur. J. Oper. Res. 270 (1) (2018)
Viet Anh Nguyen, Long Giang Nguyen
An efficient heuristic approach for learning a set of composite graph classification rules. Intell. Data Anal. 22 (3) (2018)
János Demetrovics, Hoang Minh Quang, Vu Duc Thi, Viet Anh Nguyen
An Efficient Method to Reduce the Size of Consistent Decision Tables. Acta Cybern. 23 (4) (2018)
Soroosh Shafieezadeh-Abadeh, Viet Anh Nguyen, Daniel Kuhn, Peyman Mohajerin Esfahani
Wasserstein Distributionally Robust Kalman Filtering. CoRR (2018)
Viet Anh Nguyen
A peer assessment approach to project based blended learning course in a Vietnamese higher education. Educ. Inf. Technol. 22 (5) (2017)
Viet Anh Nguyen, Damien Hardy, Isabelle Puaut
Cache-Conscious Offline Real-Time Task Scheduling for Multi-Core Processors. ECRTS (2017)
Viet Anh Nguyen
The Impact of Online Learning Activities on Student Learning Outcome in Blended Learning Course. J. Inf. Knowl. Manag. 16 (4) (2017)
Ashwani Kumar, Viet Anh Nguyen, Kwong Meng Teo
Commuter cycling policy in Singapore: a farecard data analytics based approach. Ann. Oper. Res. 236 (1) (2016)
Viet Anh Nguyen, Jun Jiang, Kien Ming Ng, Kwong Meng Teo
Satisficing measure approach for vehicle routing problem with time windows under uncertainty. Eur. J. Oper. Res. 248 (2) (2016)
Viet Anh Nguyen, Thanh Ha Le, Thuy Thi Nguyen
Single camera based fall detection using motion and human shape features. SoICT (2016)
Yu Zhang, Xiu-Shen Wei, Jianxin Wu, Jianfei Cai, Jiangbo Lu, Viet Anh Nguyen, Minh N. Do
Weakly Supervised Fine-Grained Categorization With Part-Based Image Representation. IEEE Trans. Image Process. 25 (4) (2016)
Chien Van Trinh, Khanh Quoc Dinh, Viet Anh Nguyen, Byeungwoo Jeon
Total variation reconstruction for compressive sensing using nonlocal Lagrangian multiplier. CoRR (2016)
Yu Zhang, Xiu-Shen Wei, Jianxin Wu, Jianfei Cai, Jiangbo Lu, Viet Anh Nguyen, Minh N. Do
Weakly Supervised Fine-Grained Image Categorization. CoRR (2015)
Viet Anh Nguyen, Jiangbo Lu, Shengkui Zhao, Dung T. Vu, Hongsheng Yang, Douglas L. Jones, Minh N. Do
ITEM: Immersive Telepresence for Entertainment and Meetings - A Practical Approach. IEEE J. Sel. Top. Signal Process. 9 (3) (2015)
Viet Anh Nguyen, Minh N. Do
Efficient coding unit size selection for HEVC downsizing transcoding. ISCAS (2015)
Viet Anh Nguyen, Jiwen Lu, Minh N. Do
Supervised Discriminative Hashing for Compact Binary Codes. ACM Multimedia (2014)
Viet Anh Nguyen, Jiangbo Lu, Shengkui Zhao, Tien Dung Vu, Hongsheng Yang, Douglas L. Jones, Minh N. Do
ITEM: Immersive Telepresence for Entertainment and Meetings - A Practical Approach. CoRR (2014)
Viet Anh Nguyen, Jiangbo Lu, Shengkui Zhao, Douglas L. Jones, Minh N. Do
Teleimmersive Audio-Visual Communication Using Commodity Hardware [Applications Corner]. IEEE Signal Process. Mag. 31 (6) (2014)
Chien Van Trinh, Viet Anh Nguyen, Byeungwoo Jeon
Block-based compressive sensing of video using local sparsifying transform. MMSP (2014)
Chien Van Trinh, Khanh Quoc Dinh, Viet Anh Nguyen, Byeungwoo Jeon
Total variation reconstruction for compressive sensing using nonlocal Lagrangian multiplier. EUSIPCO (2014)

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Publication Activity (10 Years)

Top Topics

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Viet Anh Nguyen