Ha Manh Bui
- Ph.D. Student, Johns Hopkins University
- Gmail: "hb dot buimanhha"
Hi! I am a Ph.D. Student in Computer Science at Johns Hopkins University, advised by Angie Liu, and also fortunately work with Enrique Mallada. Prior to that, I was at VinAI Research, under the supervision of Toan Tran and Dinh Phung.
Research interests: Computational Efficiency, Uncertainty Estimation, and Robustness in Machine Learning.
Publications
Neural Variance-Aware Linear UCB in Stochastic Multi-armed Contextual Bandits [PDF, Colab demo] Ha Manh Bui, Enrique Mallada, Anqi Liu under review, 2024
Density-Softmax: Efficient Test-time Model for Uncertainty Estimation and Robustness under Distribution Shifts [PDF, article, talk, slides, poster, Colab demo, code, BibTex] 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, talk, slides, poster, Colab demo, code, BibTex] Ha Manh Bui, Anqi Liu International Conference on Artificial Intelligence and Statistics, 2024
Benchmark for Uncertainty & Robustness in Self-Supervised Learning [PDF, article, code, BibTex] Ha Manh Bui, Iliana Maifeld-Carucci arXiv pre-print, 2022
Exploiting Domain-Specific Features to Enhance Domain Generalization [PDF, article, talk, slides, poster, code, BibTex] Manh-Ha Bui, Toan Tran, Anh Tran, Dinh Phung Advances in Neural Information Processing Systems, 2021