Ha Manh Bui

Hi! I’m a final-year Ph.D. Student in Computer Science at Johns Hopkins University, advised by Angie Liu, and also fortunate to collaborate with Eric Nalisnick, Enrique Mallada, and Kimia Ghodabi. During my Ph.D., I’ve also been lucky to intern at Amazon Science under the mentorship of Hao Song. Prior to that, I was at VinAI (Qualcomm AI) and obtained a B.S.E. in Information Technology from PTIT-Hanoi, under the supervision of Toan Tran and Dinh Phung.

Research Interests: I am interested in reliable Artificial Intelligence (AI) models that can support people in high-stakes applications (e.g., healthcare, finance, robotics). To accomplish this, my research focuses on developing principled Machine Learning methods for:

Uncertainty & Robustness: enhancing the efficiency (speed, memory), uncertainty (model's confidence), and robustness (generalization under distribution shifts) of modern AI models.
Reinforcement Learning: utilizing robust & uncertainty-aware AI models for learning to make good decisions (exploration, exploitation) in sequential problems.

Publications

Efficient and Uncertainty-Aware Diffusion Framework for Offline-to-Online Reinforcement Learning [PDF, article, code] Ha Manh Bui, Metod Jazbec, Eric Nalisnick, Anqi Liu International Conference on Machine Learning, 2026

Q-Learning with Shift-Aware Upper Confidence Bound in Non-Stationary Reinforcement Learning [PDF, article, code] Ha Manh Bui, Felix Parker, Kimia Ghobadi, Anqi Liu International Conference on Artificial Intelligence and Statistics, 2026

Variance-Aware Linear UCB with Deep Representation for Neural Contextual Bandits [PDF, article, Colab demo, code] Ha Manh Bui, Enrique Mallada, Anqi Liu International Conference on Artificial Intelligence and Statistics, 2025

Density-Softmax: Efficient Test-time Model for Uncertainty Estimation and Robustness under Distribution Shifts [PDF, article, Colab demo, code] Ha Manh Bui, Anqi Liu International Conference on Machine Learning, 2024

Density-Regression: Efficient and Distance-Aware Deep Regressor for Uncertainty Estimation under Distribution Shifts [PDF, article, Colab demo, code] Ha Manh Bui, Anqi Liu International Conference on Artificial Intelligence and Statistics, 2024

Exploiting Domain-Specific Features to Enhance Domain Generalization [PDF, article, code] Manh-Ha Bui, Toan Tran, Anh Tran, Dinh Phung Advances in Neural Information Processing Systems, 2021