Ha Manh Bui

According to our database, Ha Manh Bui authored at least 8 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Efficient and Uncertainty-Aware Diffusion Framework for Offline-to-Online Reinforcement Learning.

Ha Manh Bui, Metod Jazbec, Eric T. Nalisnick, Anqi Liu

CoRR, May, 2026

2025

Q-Learning with Shift-Aware Upper Confidence Bound in Non-Stationary Reinforcement Learning.

Ha Manh Bui, Felix Parker, Kimia Ghobadi, Anqi Liu

CoRR, October, 2025

Calibrated Uncertainty Sampling for Active Learning.

Ha Manh Bui, Iliana Maifeld-Carucci, Anqi Liu

CoRR, October, 2025

Variance-Aware Linear UCB with Deep Representation for Neural Contextual Bandits.

Ha Manh Bui, Enrique Mallada, Anqi Liu

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

2024

Density-Softmax: Efficient Test-time Model for Uncertainty Estimation and Robustness under Distribution Shifts.

Ha Manh Bui, Anqi Liu

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Density-Regression: Efficient and Distance-aware Deep Regressor for Uncertainty Estimation under Distribution Shifts.

Ha Manh Bui, Anqi Liu

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Density-Softmax: Scalable and Distance-Aware Uncertainty Estimation under Distribution Shifts.

Ha Manh Bui, Anqi Liu

CoRR, 2023

2022

Benchmark for Uncertainty & Robustness in Self-Supervised Learning.

Ha Manh Bui, Iliana Maifeld-Carucci

CoRR, 2022