Huy Nguyen

Affiliations

University of Texas at Austin

papers

212

total citations

papers (14)

On Robust Optimal Transport: Computational Complexity and Barycenter Computation

NEURIPS 2021arXiv

citations

Revisiting Prefix-tuning: Statistical Benefits of Reparameterization among Prompts

ICLR 2025arXiv

citations

AG-VPReID: A Challenging Large-Scale Benchmark for Aerial-Ground Video-based Person Re-Identification

CVPR 2025arXiv

citations

Improved Frequency Estimation Algorithms with and without Predictions

NEURIPS 2023arXiv

citations

Private Vector Mean Estimation in the Shuffle Model: Optimal Rates Require Many Messages

ICML 2024arXiv

citations

Minimax Optimal Rate for Parameter Estimation in Multivariate Deviated Models

NEURIPS 2023arXiv

citations

Online and Streaming Algorithms for Constrained k-Submodular Maximization

AAAI 2025arXiv

citations

Improved Convergence in High Probability of Clipped Gradient Methods with Heavy Tailed Noise

NEURIPS 2023

citations

On the Generalization Error of Stochastic Mirror Descent for Quadratically-Bounded Losses: an Improved Analysis

NEURIPS 2023

citations

Huy Nguyen

Affiliations

papers (14)

On Robust Optimal Transport: Computational Complexity and Barycenter Computation

Demystifying Softmax Gating Function in Gaussian Mixture of Experts

A General Theory for Softmax Gating Multinomial Logistic Mixture of Experts

On Least Square Estimation in Softmax Gating Mixture of Experts

Is Temperature Sample Efficient for Softmax Gaussian Mixture of Experts?

Fast Optimal Locally Private Mean Estimation via Random Projections

Revisiting Prefix-tuning: Statistical Benefits of Reparameterization among Prompts

AG-VPReID: A Challenging Large-Scale Benchmark for Aerial-Ground Video-based Person Re-Identification

Improved Frequency Estimation Algorithms with and without Predictions

Private Vector Mean Estimation in the Shuffle Model: Optimal Rates Require Many Messages

Minimax Optimal Rate for Parameter Estimation in Multivariate Deviated Models

Online and Streaming Algorithms for Constrained k-Submodular Maximization

Improved Convergence in High Probability of Clipped Gradient Methods with Heavy Tailed Noise

On the Generalization Error of Stochastic Mirror Descent for Quadratically-Bounded Losses: an Improved Analysis

papers (14)

On Robust Optimal Transport: Computational Complexity and Barycenter Computation

Demystifying Softmax Gating Function in Gaussian Mixture of Experts

A General Theory for Softmax Gating Multinomial Logistic Mixture of Experts

On Least Square Estimation in Softmax Gating Mixture of Experts

Is Temperature Sample Efficient for Softmax Gaussian Mixture of Experts?

Fast Optimal Locally Private Mean Estimation via Random Projections

Revisiting Prefix-tuning: Statistical Benefits of Reparameterization among Prompts

AG-VPReID: A Challenging Large-Scale Benchmark for Aerial-Ground Video-based Person Re-Identification

Improved Frequency Estimation Algorithms with and without Predictions

Private Vector Mean Estimation in the Shuffle Model: Optimal Rates Require Many Messages

Minimax Optimal Rate for Parameter Estimation in Multivariate Deviated Models

Online and Streaming Algorithms for Constrained k-Submodular Maximization

Improved Convergence in High Probability of Clipped Gradient Methods with Heavy Tailed Noise

On the Generalization Error of Stochastic Mirror Descent for Quadratically-Bounded Losses: an Improved Analysis