| Bayesian nonparametric federated learning of neural networks YK Mikhail Yurochkin, Mayank Agarwal, Soumya Ghosh, Kristjan Greenewald ... International Conference on Machine Learning, 7252-7261, 2019 | 872 | 2019 |
| Caster: Predicting drug interactions with chemical substructure representation K Huang, C Xiao, T Hoang, L Glass, J Sun Proceedings of the AAAI conference on artificial intelligence 34 (01), 702-709, 2020 | 146 | 2020 |
| A unifying framework of anytime sparse Gaussian process regression models with stochastic variational inference for big data TN Hoang, QM Hoang, BKH Low International Conference on Machine Learning, 569-578, 2015 | 110 | 2015 |
| Information-based multi-fidelity Bayesian optimization Y Zhang, TN Hoang, BKH Low, M Kankanhalli NIPS Workshop on Bayesian Optimization 49, 2017 | 80 | 2017 |
| On the design of black-box adversarial examples by leveraging gradient-free optimization and operator splitting method P Zhao, S Liu, PY Chen, N Hoang, K Xu, B Kailkhura, X Lin Proceedings of the IEEE/CVF International Conference on Computer Vision, 121-130, 2019 | 79 | 2019 |
| Nonmyopic ε-Bayes-optimal active learning of Gaussian processes TN Hoang, BKH Low, P Jaillet, M Kankanhalli International conference on machine learning, 739-747, 2014 | 70 | 2014 |
| Decentralized High-Dimensional Bayesian Optimization with Factor Graphs TN Hoang, QM Hoang, R Ouyang, KH Low 32nd AAAI Conference on Artificial Intelligence (AAAI-18), 2018 | 69 | 2018 |
| A distributed variational inference framework for unifying parallel sparse Gaussian process regression models TN Hoang, QM Hoang, BKH Low International Conference on Machine Learning, 382-391, 2016 | 61 | 2016 |
| Verifiably safe exploration for end-to-end reinforcement learning N Hunt, N Fulton, S Magliacane, TN Hoang, S Das, A Solar-Lezama Proceedings of the 24th International Conference on Hybrid Systems …, 2021 | 57 | 2021 |
| Interactive POMDP Lite: Towards practical planning to predict and exploit intentions for interacting with self-interested agents TN Hoang, KH Low arXiv preprint arXiv:1304.5159, 2013 | 57 | 2013 |
| Collective online learning of Gaussian processes in massive multi-agent systems TN Hoang, QM Hoang, KH Low, J How Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 7850-7857, 2019 | 49 | 2019 |
| Near-optimal active learning of multi-output Gaussian processes Y Zhang, TN Hoang, KH Low, M Kankanhalli Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016 | 44 | 2016 |
| Decision-theoretic approach to maximizing observation of multiple targets in multi-camera surveillance. P Natarajan, TN Hoang, KH Low, MS Kankanhalli AAMAS, 155-162, 2012 | 44 | 2012 |
| Statistical model aggregation via parameter matching M Yurochkin, M Agarwal, S Ghosh, K Greenewald, N Hoang Advances in neural information processing systems 32, 2019 | 40 | 2019 |
| A generalized stochastic variational Bayesian hyperparameter learning framework for sparse spectrum Gaussian process regression QM Hoang, TN Hoang, KH Low Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017 | 40 | 2017 |
| Collective Model Fusion for Multiple Black-Box Experts CK Quang Minh Hoang, Trong Nghia Hoang, Bryan Kian Hsiang Low International Conference on Machine Learning, 2742-2750, 2019 | 38 | 2019 |
| Ddl: Deep dictionary learning for predictive phenotyping T Fu, TN Hoang, C Xiao, J Sun IJCAI: proceedings of the conference 2019, 5857, 2019 | 32 | 2019 |
| Stochastic variational inference for Bayesian sparse Gaussian process regression H Yu, T Nghia, BKH Low, P Jaillet 2019 International Joint Conference on Neural Networks (IJCNN), 1-8, 2019 | 30 | 2019 |
| Scalable decision-theoretic coordination and control for real-time active multi-camera surveillance P Natarajan, TN Hoang, Y Wong, KH Low, M Kankanhalli Proceedings of the International Conference on Distributed Smart Cameras, 1-6, 2014 | 25 | 2014 |
| Model fusion for personalized learning TC Lam, N Hoang, BKH Low, P Jaillet International Conference on Machine Learning, 5948-5958, 2021 | 22 | 2021 |
Bryan Kian Hsiang LowAssociate Professor (with tenure), Department of Computer Science, National University of Singaporecomp.nus.edu.sg의 이메일 확인됨