Segui
Trong Nghia Hoang
Titolo
Citata da
Citata da
Anno
Bayesian nonparametric federated learning of neural networks
YK Mikhail Yurochkin, Mayank Agarwal, Soumya Ghosh, Kristjan Greenewald ...
International Conference on Machine Learning, 7252-7261, 2019
6822019
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
1172020
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
1042015
Information-based multi-fidelity Bayesian optimization
Y Zhang, TN Hoang, BKH Low, M Kankanhalli
NIPS Workshop on Bayesian Optimization 49, 2017
742017
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
722019
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
662014
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
632018
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
592016
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
542013
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
462021
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
462019
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
432012
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
422016
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
402017
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
362019
Statistical model aggregation via parameter matching
M Yurochkin, M Agarwal, S Ghosh, K Greenewald, N Hoang
Advances in neural information processing systems 32, 2019
342019
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
302019
Ddl: Deep dictionary learning for predictive phenotyping
T Fu, TN Hoang, C Xiao, J Sun
IJCAI: proceedings of the conference 2019, 5857, 2019
292019
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
252014
Recent advances in scaling up Gaussian process predictive models for large spatiotemporal data
KH Low, J Chen, TN Hoang, N Xu, P Jaillet
Dynamic Data-Driven Environmental Systems Science: First International …, 2015
222015
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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