| GEE: A gradient-based explainable variational autoencoder for network anomaly detection QP Nguyen, KW Lim, DM Divakaran, KH Low, MC Chan 2019 IEEE Conference on Communications and Network Security (CNS), 91-99, 2019 | 206* | 2019 |
| Variational Bayesian Unlearning QP Nguyen, BKH Low, P Jaillet Advances in Neural Information Processing Systems 33, 2020 | 116 | 2020 |
| Inverse reinforcement learning with locally consistent reward functions QP Nguyen, BKH Low, P Jaillet Advances in neural information processing systems 28, 1747-1755, 2015 | 53 | 2015 |
| Value-at-risk optimization with Gaussian processes QP Nguyen, Z Dai, BKH Low, P Jaillet International Conference on Machine Learning, 8063-8072, 2021 | 33 | 2021 |
| Markov chain monte carlo-based machine unlearning: Unlearning what needs to be forgotten QP Nguyen, R Oikawa, DM Divakaran, MC Chan, BKH Low Proceedings of the 2022 ACM on Asia Conference on Computer and …, 2022 | 30 | 2022 |
| Efficient Exploration of Reward Functions in Inverse Reinforcement Learning via Bayesian Optimization S Balakrishnan, QP Nguyen, BKH Low, H Soh Advances in Neural Information Processing Systems 33, 2020 | 29 | 2020 |
| Optimizing conditional Value-At-Risk of black-box functions QP Nguyen, Z Dai, BKH Low, P Jaillet Advances in Neural Information Processing Systems 34, 4170-4180, 2021 | 23 | 2021 |
| Top-k Ranking Bayesian Optimization QP Nguyen, S Tay, BKH Low, P Jaillet Proceedings of the AAAI Conference on Artificial Intelligence 35 (10), 9135-9143, 2021 | 22 | 2021 |
| An Information-Theoretic Framework for Unifying Active Learning Problems QP Nguyen, BKH Low, P Jaillet Proceedings of the AAAI Conference on Artificial Intelligence 35 (10), 9126-9134, 2021 | 12 | 2021 |
| Trade-off between payoff and model rewards in Shapley-fair collaborative machine learning QP Nguyen, BKH Low, P Jaillet Advances in Neural Information Processing Systems 35, 30542-30553, 2022 | 11 | 2022 |
| Trusted-Maximizers Entropy Search for Efficient Bayesian Optimization QP Nguyen, Z Wu, BKH Low, P Jaillet Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial …, 2021 | 10 | 2021 |
| Estimation of recursive route choice models with incomplete trip observations T Mai, TV Bui, QP Nguyen, TV Le Transportation Research Part B: Methodological 173, 313-331, 2023 | 5 | 2023 |
| Inverse Reinforcement Learning with Missing Data T Mai, QP Nguyen, KH Low, P Jaillet arXiv preprint arXiv:1911.06930, 2019 | 4 | 2019 |
| Optimistic Bayesian Optimization with Unknown Constraints QP Nguyen, WTR Chew, L Song, BKH Low, P Jaillet The Twelfth International Conference on Learning Representations, 2023 | 3 | 2023 |
| Learning to Learn with Gaussian Processes QP Nguyen, BKH Low, P Jaillet Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial …, 2021 | 3 | 2021 |
| Batch Bayesian Optimization for Replicable Experimental Design Z Dai, QP Nguyen, S Tay, D Urano, R Leong, BKH Low, P Jaillet Advances in Neural Information Processing Systems 36, 2024 | 2 | 2024 |
| No-regret Sample-efficient Bayesian Optimization for Finding Nash Equilibria with Unknown Utilities SS Tay, QP Nguyen, CS Foo, BKH Low International Conference on Artificial Intelligence and Statistics, 3591-3619, 2023 | 2 | 2023 |
| Rectified Max-Value Entropy Search for Bayesian Optimization QP Nguyen, BKH Low, P Jaillet arXiv preprint arXiv:2202.13597, 2022 | 2 | 2022 |
| Meta-VBO: Utilizing Prior Tasks in Optimizing Risk Measures with Gaussian Processes QP Nguyen, BKH Low, P Jaillet The Twelfth International Conference on Learning Representations, 2024 | 1 | 2024 |