Nguyen, Huy

55 publications

TMLR 2026 One-Sided Matrix Completion from Ultra-Sparse Samples Hongyang R. Zhang, Zhenshuo Zhang, Huy Nguyen, Guanghui Lan

CVPR 2025 AG-VPReID: A Challenging Large-Scale Benchmark for Aerial-Ground Video-Based Person Re-Identification Huy Nguyen, Kien Nguyen, Akila Pemasiri, Feng Liu, Sridha Sridharan, Clinton Fookes

ICML 2025 Lean and Mean Adaptive Optimization via Subset-Norm and Subspace-Momentum with Convergence Guarantees Thien Hang Nguyen, Huy Nguyen

ICML 2025 Maximum Coverage in Turnstile Streams with Applications to Fingerprinting Measures Alina Ene, Alessandro Epasto, Vahab Mirrokni, Hoai-An Nguyen, Huy Nguyen, David Woodruff, Peilin Zhong

NeurIPS 2025 On Minimax Estimation of Parameters in SoftMax-Contaminated Mixture of Experts Fanqi Yan, Huy Nguyen, Le Quang Dung, Pedram Akbarian, Nhat Ho, Alessandro Rinaldo

ICML 2025 On Zero-Initialized Attention: Optimal Prompt and Gating Factor Estimation Nghiem Tuong Diep, Huy Nguyen, Chau Nguyen, Minh Le, Duy Minh Ho Nguyen, Daniel Sonntag, Mathias Niepert, Nhat Ho

ICML 2025 RepLoRA: Reparameterizing Low-Rank Adaptation via the Perspective of Mixture of Experts Tuan Truong, Chau Nguyen, Huy Nguyen, Minh Le, Trung Le, Nhat Ho

ICLR 2025 Revisiting Prefix-Tuning: Statistical Benefits of Reparameterization Among Prompts Minh Le, Chau Nguyen, Huy Nguyen, Quyen Tran, Trung Le, Nhat Ho

ICLR 2025 Statistical Advantages of Perturbing Cosine Router in Mixture of Experts Huy Nguyen, Pedram Akbarian, Huyen Trang Pham, Thien Trang Nguyen Vu, Shujian Zhang, Nhat Ho

AISTATS 2025 Understanding Expert Structures on Minimax Parameter Estimation in Contaminated Mixture of Experts Fanqi Yan, Huy Nguyen, Le Quang Dung, Pedram Akbarian, Nhat Ho

ICML 2024 A General Theory for SoftMax Gating Multinomial Logistic Mixture of Experts Huy Nguyen, Pedram Akbarian, Trungtin Nguyen, Nhat Ho

NeurIPS 2024 FuseMoE: Mixture-of-Experts Transformers for Fleximodal Fusion Xing Han, Huy Nguyen, Carl Harris, Nhat Ho, Suchi Saria

ICML 2024 Is Temperature Sample Efficient for SoftMax Gaussian Mixture of Experts? Huy Nguyen, Pedram Akbarian, Nhat Ho

NeurIPSW 2024 Memory Efficient Adaptive Stochastic Optimization via Subset-Norm Thien Hang Nguyen, Huy Nguyen

NeurIPS 2024 Mixture of Experts Meets Prompt-Based Continual Learning Minh Le, An Nguyen, Huy Nguyen, Trang Nguyen, Trang Pham, Linh Van Ngo, Nhat Ho

ICML 2024 On Least Square Estimation in SoftMax Gating Mixture of Experts Huy Nguyen, Nhat Ho, Alessandro Rinaldo

AISTATS 2024 On Parameter Estimation in Deviated Gaussian Mixture of Experts Huy Nguyen, Khai Nguyen, Nhat Ho

ICML 2024 Private Vector Mean Estimation in the Shuffle Model: Optimal Rates Require Many Messages Hilal Asi, Vitaly Feldman, Jelani Nelson, Huy Nguyen, Kunal Talwar, Samson Zhou

NeurIPS 2024 Sigmoid Gating Is More Sample Efficient than SoftMax Gating in Mixture of Experts Huy Nguyen, Nhat Ho, Alessandro Rinaldo

ICLR 2024 Statistical Perspective of Top-K Sparse SoftMax Gating Mixture of Experts Huy Nguyen, Pedram Akbarian, Fanqi Yan, Nhat Ho

AISTATS 2024 Towards Convergence Rates for Parameter Estimation in Gaussian-Gated Mixture of Experts Huy Nguyen, TrungTin Nguyen, Khai Nguyen, Nhat Ho

NeurIPS 2023 Demystifying SoftMax Gating Function in Gaussian Mixture of Experts Huy Nguyen, TrungTin Nguyen, Nhat Ho

TMLR 2023 Fair and Useful Cohort Selection Konstantina Bairaktari, Paul Tsela Langton, Huy Nguyen, Niklas Smedemark-Margulies, Jonathan Ullman

ICMLW 2023 Fast Approximation of the Generalized Sliced-Wasserstein Distance Le Quang Dung, Huy Nguyen, Khai Nguyen, Nhat Ho

NeurIPS 2023 Fast Optimal Locally Private Mean Estimation via Random Projections Hilal Asi, Vitaly Feldman, Jelani Nelson, Huy Nguyen, Kunal Talwar

ICLR 2023 Hierarchical Sliced Wasserstein Distance Khai Nguyen, Tongzheng Ren, Huy Nguyen, Litu Rout, Tan Minh Nguyen, Nhat Ho

ICML 2023 High Probability Convergence of Stochastic Gradient Methods Zijian Liu, Ta Duy Nguyen, Thien Hang Nguyen, Alina Ene, Huy Nguyen

TMLR 2023 Identification of Negative Transfers in Multitask Learning Using Surrogate Models Dongyue Li, Huy Nguyen, Hongyang Ryan Zhang

NeurIPS 2023 Improved Convergence in High Probability of Clipped Gradient Methods with Heavy Tailed Noise Ta Duy Nguyen, Thien H Nguyen, Alina Ene, Huy Nguyen

NeurIPS 2023 Improved Frequency Estimation Algorithms with and Without Predictions Anders Aamand, Justin Chen, Huy Nguyen, Sandeep Silwal, Ali Vakilian

TMLR 2023 Improved Group Robustness via Classifier Retraining on Independent Splits Thien Hang Nguyen, Hongyang R. Zhang, Huy Nguyen

ICLR 2023 Improved Learning-Augmented Algorithms for K-Means and K-Medians Clustering Thy Dinh Nguyen, Anamay Chaturvedi, Huy Nguyen

NeurIPS 2023 Minimax Optimal Rate for Parameter Estimation in Multivariate Deviated Models Dat Do, Huy Nguyen, Khai Nguyen, Nhat Ho

ICLR 2023 On the Convergence of AdaGrad(Norm) on $\mathbb{R}^d$: Beyond Convexity, Non-Asymptotic Rate and Acceleration Zijian Liu, Ta Duy Nguyen, Alina Ene, Huy Nguyen

NeurIPS 2023 On the Generalization Error of Stochastic Mirror Descent for Quadratically-Bounded Losses: An Improved Analysis Ta Duy Nguyen, Alina Ene, Huy Nguyen

WACV 2023 PP4AV: A Benchmarking Dataset for Privacy-Preserving Autonomous Driving Linh Trinh, Phuong Pham, Hoang Trinh, Nguyen Bach, Dung Nguyen, Giang Nguyen, Huy Nguyen

ICML 2023 Streaming Submodular Maximization with Differential Privacy Anamay Chaturvedi, Huy Nguyen, Thy Dinh Nguyen

AISTATS 2022 On Multimarginal Partial Optimal Transport: Equivalent Forms and Computational Complexity Khang Le, Huy Nguyen, Khai Nguyen, Tung Pham, Nhat Ho

ICML 2022 Adaptive Accelerated (Extra-)Gradient Methods with Variance Reduction Zijian Liu, Ta Duy Nguyen, Alina Ene, Huy Nguyen

ICML 2022 Entropic Gromov-Wasserstein Between Gaussian Distributions Khang Le, Dung Q Le, Huy Nguyen, Dat Do, Tung Pham, Nhat Ho

ICML 2022 Private Frequency Estimation via Projective Geometry Vitaly Feldman, Jelani Nelson, Huy Nguyen, Kunal Talwar

ICML 2022 Streaming Algorithm for Monotone K-Submodular Maximization with Cardinality Constraints Alina Ene, Huy Nguyen

NeurIPSW 2022 Task Modeling: Approximating Multitask Predictions for Cross-Task Transfer Dongyue Li, Huy Nguyen, Hongyang Ryan Zhang

NeurIPS 2021 On Robust Optimal Transport: Computational Complexity and Barycenter Computation Khang Le, Huy Nguyen, Quang M Nguyen, Tung Pham, Hung Bui, Nhat Ho

ICML 2020 Fair K-Centers via Maximum Matching Matthew Jones, Huy Nguyen, Thy Nguyen

ICML 2020 Parallel Algorithm for Non-Monotone DR-Submodular Maximization Alina Ene, Huy Nguyen

NeurIPS 2018 Improved Algorithms for Collaborative PAC Learning Huy Nguyen, Lydia Zakynthinou

NeurIPS 2017 Decomposable Submodular Function Minimization: Discrete and Continuous Alina Ene, Huy Nguyen, László A. Végh

ECCV 2016 LOH and Behold: Web-Scale Visual Search, Recommendation and Clustering Using Locally Optimized Hashing Yannis Kalantidis, Lyndon Kennedy, Huy Nguyen, Clayton Mellina, David A. Shamma

ECCVW 2016 LOH and Behold: Web-Scale Visual Search, Recommendation and Clustering Using Locally Optimized Hashing Yannis Kalantidis, Lyndon Kennedy, Huy Nguyen, Clayton Mellina, David A. Shamma

ICML 2015 Random Coordinate Descent Methods for Minimizing Decomposable Submodular Functions Alina Ene, Huy Nguyen

ICML 2015 The Power of Randomization: Distributed Submodular Maximization on Massive Datasets Rafael Barbosa, Alina Ene, Huy Nguyen, Justin Ward

NeurIPS 2014 On Communication Cost of Distributed Statistical Estimation and Dimensionality Ankit Garg, Tengyu Ma, Huy Nguyen

NeurIPS 2014 Subspace Embeddings for the Polynomial Kernel Haim Avron, Huy Nguyen, David Woodruff

ECML-PKDD 2012 Influence Spread in Large-Scale Social Networks - A Belief Propagation Approach Huy Nguyen, Rong Zheng