Hien Dang
Welcome, thank you for visiting! My name is Hien, I am a third-year PhD student at Department of Statistics and Data Science, University of Texas at Austin, where I am fortunate to be advised by Prof. Alessandro Rinaldo and Prof. Pratik Patil
Prior to my PhD, I worked as a research resident at FPT Software AI Center, where I was mentored by Prof. Nhat Ho, Prof. Tan Minh Nguyen and Dr. Hung The Tran. I received my bachelor’s degree in mathematics from the University of Science, Vietnam National University.
My research interests lie broadly in statistical machine learning, high-dimensional statistics, and the theory of deep learning. Specifically, I am interested in and have worked on:
- Statistical foundations for distillation and learning with synthetic data using tools from high-dimensional statistics, such as exact asymptotics and random matrix theory.
- Learning under data contamination and distribution shifts.
- The structure of neural network representations, particularly phenomena such as neural collapse and posterior collapse.
Here is my Google Scholar and CV.
My email address: hiendang@utexas.edu
Please feel free to reach out for discussions!
“*” and “**” denote equal contribution
Recent news
| Sep 2026 | Our paper “Prediction-Only Distillation in Linear and Logistic Regression” has been accepted as a poster at NeurIPS 2026. See you in Atlanta! |
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| Apr 2026 | Our paper “Optimal Unconstrained Self-Distillation in Ridge Regression: Strict Improvements, Precise Asymptotics, and One-Shot Tuning” has been accepted as a poster at ICML 2026. |
Publications
“*” denotes equal contribution.
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NeurIPSPrediction-Only Distillation in Linear and Logistic RegressionConference on Neural Information Processing Systems (NeurIPS), 2026
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arXiv