Nguyen, Viet Anh

27 publications

TMLR 2026 Retrospective Feature Estimation for Continual Learning Nghia D. Nguyen, Hieu Trung Nguyen, Ang Li, Hoang Pham, Viet Anh Nguyen, Khoa D Doan

NeurIPS 2025 Reasoning Planning for Language Models Bao Nguyen, Hieu Trung Nguyen, Ruifeng She, Xiaojin Fu, Viet Anh Nguyen

ICLR 2024 Bellman Optimal Stepsize Straightening of Flow-Matching Models Bao Nguyen, Binh Nguyen, Viet Anh Nguyen

UAI 2024 Cold-Start Recommendation by Personalized Embedding Region Elicitation Hieu Trung Nguyen, Duy Nguyen, Khoa Doan, Viet Anh Nguyen

ICML 2024 Explaining Graph Neural Networks via Structure-Aware Interaction Index Ngoc Bui, Hieu Trung Nguyen, Viet Anh Nguyen, Rex Ying

ICML 2024 Generative Conditional Distributions by Neural (Entropic) Optimal Transport Bao Nguyen, Binh Nguyen, Hieu Trung Nguyen, Viet Anh Nguyen

NeurIPSW 2024 Range-Aware Positional Encoding via High-Order Pretraining: Theory and Practice Viet Anh Nguyen, Nhat Khang Ngo, Hy Truong Son

ICLR 2023 Distributionally Robust Recourse Action Duy Nguyen, Ngoc Bui, Viet Anh Nguyen

JMLR 2023 Dropout Training Is Distributionally Robust Optimal José Blanchet, Yang Kang, José Luis Montiel Olea, Viet Anh Nguyen, Xuhui Zhang

IJCAI 2023 Dynamic Flows on Curved Space Generated by Labeled Data Xinru Hua, Truyen Nguyen, Tam Le, Jose H. Blanchet, Viet Anh Nguyen

UAI 2023 Efficient Failure Pattern Identification of Predictive Algorithms Bao Nguyen, Viet Anh Nguyen

AISTATS 2023 Feasible Recourse Plan via Diverse Interpolation Duy Nguyen, Ngoc Bui, Viet Anh Nguyen

ICLR 2022 Counterfactual Plans Under Distributional Ambiguity Ngoc Bui, Duy Nguyen, Viet Anh Nguyen

ICLR 2022 Distributionally Robust Fair Principal Components via Geodesic Descents Hieu Vu, Toan Tran, Man-Chung Yue, Viet Anh Nguyen

UAI 2022 Robust Bayesian Recourse Tuan-Duy H. Nguyen, Ngoc Bui, Duy Nguyen, Man-Chung Yue, Viet Anh Nguyen

NeurIPS 2022 Tikhonov Regularization Is Optimal Transport Robust Under Martingale Constraints Jiajin Li, Sirui Lin, Jose Blanchet, Viet Anh Nguyen

NeurIPS 2021 Adversarial Regression with Doubly Non-Negative Weighting Matrices Tam Le, Truyen Nguyen, Makoto Yamada, Jose Blanchet, Viet Anh Nguyen

CVPRW 2021 Contrastive Learning for Natural Language-Based Vehicle Retrieval Tam Minh Nguyen, Quang Pham Huu, Linh Doan Bao, Hoang Viet Trinh, Viet Anh Nguyen, Viet-Hoang Phan

ICML 2021 Principal Component Hierarchy for Sparse Quadratic Programs Robbie Vreugdenhil, Viet Anh Nguyen, Armin Eftekhari, Peyman Mohajerin Esfahani

ICML 2021 Sequential Domain Adaptation by Synthesizing Distributionally Robust Experts Bahar Taskesen, Man-Chung Yue, Jose Blanchet, Daniel Kuhn, Viet Anh Nguyen

ICML 2021 Testing Group Fairness via Optimal Transport Projections Nian Si, Karthyek Murthy, Jose Blanchet, Viet Anh Nguyen

NeurIPS 2020 Distributionally Robust Local Non-Parametric Conditional Estimation Viet Anh Nguyen, Fan Zhang, Jose Blanchet, Erick Delage, Yinyu Ye

NeurIPS 2020 Distributionally Robust Parametric Maximum Likelihood Estimation Viet Anh Nguyen, Xuhui Zhang, Jose Blanchet, Angelos Georghiou

ICML 2020 Robust Bayesian Classification Using an Optimistic Score Ratio Viet Anh Nguyen, Nian Si, Jose Blanchet

NeurIPS 2019 Calculating Optimistic Likelihoods Using (Geodesically) Convex Optimization Viet Anh Nguyen, Soroosh Shafieezadeh-Abadeh, Man-Chung Yue, Daniel Huhn, Wolfram Wiesemann

NeurIPS 2019 Optimistic Distributionally Robust Optimization for Nonparametric Likelihood Approximation Viet Anh Nguyen, Soroosh Shafieezadeh-Abadeh, Man-Chung Yue, Daniel Huhn, Wolfram Wiesemann

NeurIPS 2018 Wasserstein Distributionally Robust Kalman Filtering Soroosh Shafieezadeh-Abadeh, Viet Anh Nguyen, Daniel Huhn, Peyman Mohajerin Esfahani